SlideShare une entreprise Scribd logo
1  sur  82
Télécharger pour lire hors ligne
Electronic Health Records
   ITCS 404: IT for Healthcare Services


Nawanan Theera-Ampornpunt, MD, PhD
   Faculty of Medicine Ramathibodi Hospital
                 Jan 18, 2012




                 http://www.slideshare.net/nawanan
A Bit About Myself

2003 M.D. (Ramathibodi)
2009 M.S. in Health Informatics (U of MN)
2011 Ph.D. in Health Informatics (U of MN)
Health Informatician/Systems Analyst
Health Informatics Division
Faculty of Medicine Ramathibodi Hospital
Mahidol University
ranta@mahidol.ac.th

Research interests:
•   Health IT applications in clinical settings (including
    EHRs)
•   Health IT “adoption”
•   Health informatics education
EHRs: Fundamentals
What Is A Medical Record?
What Is A Medical Record?

• A record or documentation of a patient’s
  medical history, examination, and treatments.

• Medical Record vs. Health Record
  – Essentially the same
Class Exercise 1

• Why do we need a health record?
Class Exercise 1

• Why do we need a health record?

• In other words, why do we need a
  documentation of a patient’s medical care?
Potential Uses of Medical Records

• Continuity of providing care
  – Note important information for later use
  – Especially important in chronic diseases
    (e.g. hypertension, diabetes) or in follow-up (e.g. after
    surgery)


• Patient safety
  – Preventing something bad because of lack of information
  – Such as drug allergies, list of current medications,
    “problem list”
Potential Uses of Medical Records

• Communications between providers
  – Referral to specialists or other physicians
  – Consulting among physicians
  – Communications between physicians and nurses,
    pharmacists, physical therapists, etc.
  – Transfer from a hospital to another
• Medico-legal purposes
  – e.g. Court evidence against malpractice
  – What was done or provided to the patient? Why? By
    whom? When?
  – Was the care provided up to the professional standard?
Potential Uses of Medical Records

• Claims and reimbursements
  – What services were provided to the patient
  – How (and how much) will the hospitals/doctors be paid?
  – Audit of medical records by “payers”

• Patient’s uses
  – Health insurance claims
  – Self-education & self-care

• Clinical research
  – Find ways to improve health care through new knowledge
Class Exercise 2

• What do you think should be in the
  medical records?
Data Elements in Medical Records

• Patient demographics
• General information about each visit (visit = encounter)
   – Type (outpatient, inpatient, emergency)
   – Date/Time
   – Location (clinic or ward)
“Clinical Notes”
• Patient’s problems (“Patient history”)
   – Chief complaint
   – Present illness
   – Past history
   – Family and social history
Data Elements in Medical Records

• Clinical findings by physicians (“Physical examination”)
   – Any important positive (usually abnormal) findings
   – Also important negative (usually normal) findings
• “Investigations”
   – Laboratory tests (blood tests, urine, etc.)
   – Radiological examinations (X-rays, CT, MRI, ultrasound)
   – Other diagnostic procedures
       • Electrocardiography (EKG/ECG) -- heart’s function
       • Electroencephalography (EEG) -- brain wave scans
       • Etc.
Data Elements in Medical Records

• “Problems” or “Diagnoses”
   – Summary of problems relevant to this visit
• Treatments
   – Medications
   – Surgical procedures
   – Advice to patients
   – Admission (hospitalization)
• Plans
   – Surgeries
   – More investigations to be done later
   – Follow-up appointments
Data Elements in Medical Records

• Inpatient clinical notes
   – Admission notes
   – Orders (medications, procedures, investigations, nursing
     care, etc.)
   – Medication administration records
   – Vital signs and other measurements
   – Results of lab tests and radiological examinations
   – Progress notes
   – Discharge summary
“Electronic” Medical Records

• Electronic Medical Records (EMRs) vs.
  Electronic Health Records (EHRs)

• Debate about similarities & differences
• Summary
  – Definitions subjective, depending on how people think
  – EMRs mostly refer to electronic documentation of
    medical care at one visit
  – EHRs mostly refer to electronic documentation that is
    longitudinal in nature (may be several visits)
  – EMRs commonly used in Thailand (but means the same
    as EHRs)
Various Forms of Health IT




Hospital Information System (HIS)    Computerized Provider Order Entry (CPOE)




                                    Electronic
                                      Health
                                    Records       Picture Archiving and
                                     (EHRs)      Communication System
                                                         (PACS)
Still Many Other Forms of Health IT


                                                                        Health Information
                                                                         Exchange (HIE)



         m-Health

                                                                         Biosurveillance

Personal Health Records
        (PHRs)



                                                                     Telemedicine &
Information Retrieval                                                  Telehealth

                          Images from Apple Inc., Geekzone.co.nz, Google, PubMed.gov, and American Telecare, I
Longitudinal Records

• Records documented over time (multiple encounters)
• Ideally, “life-long” is a complete record of the patient’s health
The Confusing Acronyms


                                       Computer-Based
                                       Patient Records
Electronic Medical
                                           (CPRs)
 Records (EMRs)




                                       Electronic Patient
 Electronic Health                     Records (EPRs)
 Records (EHRs)
                     Personal Health
                     Records (PHRs)
                                            Hospital
                                          Information
                                         Systems (HIS)
Benefits of EHRs and
   EHR Adoption
Innovation Adoption

• Innovation: “an idea, practice, or object that
  is perceived as new by an individual or other
  unit of adoption”
   – EHRs and health IT are innovation
• Adoption: “a decision to make full use of an
  innovation as the best course of action
  available”

• Diffusion of innovations theory (Rogers, 2003)
Class Exercise 3

• Why do we need to “adopt” an
  electronic version of medical
  records?
Common “Goals” for
                          EHRs/Health IT Adoption
                                 “Computerize”
“Go paperless”

  “Get an electronic
               copy
                                    “Digital Hospital”



   “Have EMRs”
                                    “Modernize”




                “Share data”
Is There A Role for Health IT?




                         (IOM, 2000)
Landmark IOM Reports




(IOM, 2000)           (IOM, 2001)
Landmark IOM Reports: Summary


• Humans are not perfect and are bound to make
  errors
• Highlight problems in the U.S.
  health care system that systematically contributes to
  medical errors and poor quality
• Recommends reform that would change how health
  care works and how technology innovations can help
  improve quality/safety
Why We Need Health IT

• Health care is very complex (and inefficient)
• Health care is information-rich
• Quality of care depends on timely availability &
  quality of information
• Clinical knowledge body is too large
• Short time during a visit
• Practice guidelines are put “on-the-shelf”
• “To err is human”
To Err Is Human

• Perception errors




                          Image Source: interaction-dynamics.com
To Err Is Human
• Lack of Attention




                               Image Source: aafp.org
Class Exercise 3



    The Economist Purchase Options

• Economist.com subscription   $59
• Print subscription           $125
• Print & web subscription     $125
Class Exercise 3



  The Economist Purchase Options

• Economist.com subscription   $59
• Print & web subscription     $125
To Err Is Human

• Cognitive Errors - Example: Decoy Pricing
                                        # of
    The Economist Purchase Options     People

• Economist.com subscription   $59      16
• Print subscription           $125     0
• Print & web subscription     $125     84


                                        # of
    The Economist Purchase Options     People

• Economist.com subscription   $59      68
• Print & web subscription     $125     32
                                                (Ariely, 2008)
What If This Happens in Healthcare?



• It already happens....
 (Mamede et al., 2010; Croskerry, 2003; Klein, 2005)




• What if health IT can help?
Fundamental Theorem of Informatics




                               (Friedman, 2009)
                            (Friedman, 2009)
Underlying Assumption




Adoption   Use of     Better
of EHRs    EHRs      Outcomes
Underlying Assumption

                 • Better clinical outcomes
                 • Improved patient satisfaction
  Individual     • More provider productivity/satisfaction
Adoption & use




               • Improved operational efficiency
               • Better data for research, quality improvements
               • Reduced costs/increased revenues (e.g. better
Organizational
Adoption & Use   claims & reimbursements)




                 • Better individual health/quality of life
                 • Better population health
   Societal      • Long-term cost savings
Adoption & Use
Benefits of Going Electronic (EHRs)

• Ubiquitous availability (anytime, anywhere, everyone who is
  authorized)
• Multiple concurrent uses
• The end of “Where the heck is the patient’s record?!?”
• Ability to control & enforce access security
• Structured data entry possible
• Data presentation that is easier to understand (e.g. graphs)
• Efficiency in data entry? (but sometimes it slows users
  down!)
• Process improvement (business process
  reengineering/redesign, quality improvement)

• No doctor’s handwriting!!!!!
Electronic Health Record (EHR) Systems


• Are they just electronic documentation?


             History   Diag-    Treat-
                                            ...
              & PE     nosis    ments



• Or do they have some other values?
Literature Shows Benefits of Health IT

• Literature suggests improvement in health care
  through
  – Guideline adherence
  – Better documentation
  – Practitioner decision making or process of care
  – Medication safety
  – Patient surveillance & monitoring
  – Patient education/reminder
  – Cost savings and better financial performance
Functions That Should be Part of
                                   EHR Systems


•   Patient Demographics
•   Physician Notes
•   Computerized Medication Order Entry
•   Computerized Laboratory Order Entry
•   Computerized Laboratory Results
•   Problem Lists
•   Medication Lists
•   Discharge Summaries
•   Diagnostic Test Results
•   Radiologic Reports
Adoption of Health IT: United States

 U.S. Ambulatory Setting
                       100

                        90
     % of Physicians


                        80

                        70

                        60

                        50
                                                                                          48.3 50.7
                                                                       34.8      42.0
                        40

                        30
                                                     23.9 29.2                                     24.9
                        20
                             18.2 17.3 17.3 20.8                                 16.9 21.8
                                                      9.3     10.5 11.8
                        10

                         0

                             2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
                                                    Year of Study

                                    Any EHR         EHR with Basic Features
Basic Features: Demographics, problem lists, clinical notes, test results, imaging results, order entry for
medications
                                    Source: National Ambulatory Medical Care Survey (NAMCS) 2001-2010
Adoption of Health IT: United States


U.S. Inpatient Setting
                         2008                   2009
 – Basic EHRs            7.2%                   9.2%

 – Comprehensive EHRs 1.5%                      2.7%

 – Computerized           17%                   34%
  Order Entry for Medications

                                Sources: Jha et al., 2009 & 2010
Definitions for Adoption Rates
                    Functions                             Jha et al.
                                              Basic EHR            Comprehensive EHR
Demographics                                                             
Physicians’ notes                                                        
Nursing assessments                                                      
Problem lists                                                            
Medication lists                                                         
Discharge summaries                                                      
Advanced directives                                                       
Test and imaging results
Laboratory reports                                                      
Radiologic reports                                                      
Radiologic images                                                        
Diagnostic-test results                                                 
Diagnostic-test images                                                   
Consultant reports                                                       
Computerized provider-order entry
Laboratory tests                                                         
Radiologic tests                                                         
Medications                                                             
Consultation requests                                                    
Nursing orders                                                           
Decision support
Clinical guidelines                                                      
Clinical reminders                                                       
Drug-allergy alerts                                                      
Drug-drug-interaction alerts                                             
Drug-laboratory interaction alerts                                       
Drug-dose support                                                        
EHR Adoption: Thailand (2011)


       Estimate (Partial or Complete                                        Nationwide
                   Adoption)
   Basic EHR, combined inpatient &                                               49.8%
   outpatient settings
   Comprehensive EHR, combined                                                   5.3%
   order entry of medications, combined                                          90.2%
   order entry of all orders, combined                                           79.4%


Basic EHR: a score > 1 in a 5-point scale for IT support for demographics, MD notes, nursing assessments
(inpatient only), discharge summaries (inpatient only), test results, order entry for medications

Comprehensive EHR: a score > 3 in a 5-point scale for Basic EHR functions + electronic image viewing, order
entry for lab tests and radiologic tests, drug-allergy alerts, drug-drug alerts
EHR/HIS Adoption in Thailand (2004)




                        Pongpirul et al., 2004
EHR/HIS Adoption in Thailand (2011)


                                                                              Abstract ePHIS
                            None 2%                  THIADES                        1%
          HoMC                                         2%      HIMS
           2%                                                   1%
                                                                      Other
                                                                       7%
                           MedTrak/
                           TrakCare
                              2%
H.I.M. Professional
        2%

                          MRecord
                           2%
             Mit-Net                                                                           HOSxP
              2%                       SSB                                                      50%
                                       4%

              Hospital OS
                 7%


                      Self-developed or outsourced
                                  16%




                                                               Theera-Ampornpunt, 2011 [Dissertation]
EHRs: Implementation Issues
EHR Systems/HIS: Issues

• Functionality & workflow considerations
• Structure & format of data entry
   – Free text vs structured data forms
   – Usability
   – Use of standards & vocabularies (e.g. ICD-10, SNOMED CT)
   – Templates (e.g. standard narratives, order sets)
   – Level of customization per hospital, specialty, location, group, clinician
   – Reduced clinical value due to over-documentation (e.g. medico-legal, quality
     accreditation)
   – “Copy & Paste” garbage
   – Special documents (e.g. operative notes, anesthetic notes)
   – Integration with paper systems (e.g. scanned records, legal documents)
EHR Systems/HIS: Issues

• Reliability & contingency/business continuity
  planning
• Roll-out strategies & change management
• Are they going to slow down patient care
  process?
• System Interfaces
Class Exercise 4

• What do you think is better for
  EHRs: structured or unstructured
  data?
Increasing EHR Adoption
Facilitators of EHR Adoption




                      Jha et al. (2009)
Barriers to EHR Adoption




                   Jha et al. (2009)
EHR Adoption Barriers
                  (Why People Don’t Use EHRs?)

• “Workarounds”
EHR Adoption Barriers
                  (Why People Don’t Use EHRs?)

• Technical & design issues
   – Poor software implementation
      • Does not meet requirements
      • Buggy
   – Poor usability and user experience
      • Complex/clunky UI
      • Easy to make error or miss something
   – Poor system performance
      • Slow
      • Unreliable
EHR Adoption Barriers
                       (Why People Don’t Use EHRs?)
• Management issues
  – Does not seem to improve their work process
  – Too much work entering data
  – Unclear values to users (or even negative outcomes!)
     • “Unintended consequences” of using health IT
  – Executives not fully supporting the project
  – “Power shift” among users
  – Communications and engagement (involvement) of users
    early and repeatedly during various phases of the project
  – Poor training and technical support
  – Users perceived they are treated poorly or their voices are
    not heard
The Importance of “Change Management”




   “One of the most important lessons learned to
    date is that the complexity of human change
    management may be easily underestimated”


Langberg ML (2003) in “Challenges to implementing CPOE: a case study of a
                   work in progress at Cedars-Sinai”
Public Policy on EHR Adoption
Political Support Behind Health IT



                                                ?

       “...We will make wider use of electronic records and other
        health information technology, to help control costs and
                    reduce dangerous medical errors.”
                                                             President George W. Bush
                                                       Sixth State of the Union Address
                                                                       January 31, 2006
Source: Wikisource.org   Image Source: Wikipedia.org
President Obama Backs Health IT




                    “...Our recovery plan will invest in
             electronic health records and new technology
                that will reduce errors, bring down costs,
                     ensure privacy, and save lives.”
                                              President Barack Obama
                                  Address to Joint Session of Congress
                                                     February 24, 2009
Source: WhiteHouse.gov
American Recovery & Reinvestment Act


• Contains HITECH Act
  (Health Information Technology for
  Economic and Clinical Health Act)

• ~ 20 billion dollars for Health IT
  investments

• Incentives & penalties for providers
National Leadership (U.S.)

   Office of the National Coordinator for Health Information
    Technology (ONC -- formerly ONCHIT)

                David Blumenthal, MD, MPP
                National Coordinator for
                Health Information Technology
                (2009 - 2011)




                  Farzad Mostashari, MD, ScM
                  National Coordinator for
                  Health Information Technology
                  (2011 - Present)


                   Photos courtesy of U.S. Department of Health & Human Services
What is in HITECH Act?




Blumenthal D. Launching HITECH. N Engl J Med. 2010 Feb 4;362(5):382-5.
“Meaningful Use”
“Meaningful Use”




                                      “Meaningful Use”
Pumpkin
                                        of a Pumpkin




          Image Source & Idea Courtesy of Pat Wise at HIMSS, Oct. 2009
“Meaningful Use” of Health IT


Stage 1
- Electronic capture of                               Better
health information
- Information sharing
                                         Stage 3
                                                      Health
- Data reporting
                          Stage 2        Use of
                                         EHRs to
                          Use of         improve
                          EHRs to        outcomes
                          improve
                          processes of
                          care




                                                    (Blumenthal D, 2010)
Meaningful Use Final Rule:
                           Core Objectives (Selected)


• Electronic capture of information
  – Demographics
  – Vital signs
  – Medication list
  – Allergies
  – Problem list
  – Smoking
• Medication order entry
• Drug-allergy & drug-drug interaction checks
• Patient access to/copy of health information
Meaningful Use Final Rule:
                            Menu Set (Selected)

•   Drug formulary checks
•   Lab results incorporation into EHRs
•   Generate lists of patients by specific conditions
•   Medication reconciliation
•   Electronic reporting to governmental agencies
•   Advanced directives for elderly patients
•   Patient reminders for certain services (for clinics)
•   Patient access to health information (for clinics)
Final Rule on Standards &
              Certification Criteria (Selected)

• Content Exchange Standards
  – HL7 CDA Release 2 & CCD
  – NCPDP SCRIPT
• Vocabularies
  – SNOMED CT
  – LOINC®
  – RxNorm ®
• Security
  – NIST-certified encryption algorithms
• Etc.
Personal Health Records
        (PHRs)
Personal Health Records (PHRs)

• “An electronic application through which individuals can access, manage
  and share their health information, and that of others for whom they are
  authorized, in a private, secure, and confidential environment.” (Markle
   Foundation, 2003)



• “A PHR includes health information managed by the individual... This
  can be contrasted with the clinician’s record of patient encounter–related
  information [a paperchart or EHR], which is managed by the clinician
  and/or health care institution.” (Tang et al., 2006)
Types of PHRs

• Patient portal from a provider’s EHRs (“tethered” PHRs)

• Online PHRs
   – Stand-alone
   – Can be integrated with EHRs from multiple providers
     (unidirectional/bidirectional data sharing)


• Stand-alone PHRs
   –   PC-based applications
   –   USB Drive
   –   CD-ROM or other data storage devices
   –   Paper
Ideal PHRs

• Integrated
• Accessible
• Secure
• Comprehensive
• Accurate & current
• Patient able to
  manage sharing &
  update information
• Engaging &
  educational
• User-friendly,
  culturally & literacy
  appropriate
                          The “Hub and Spoke” Model
                              (Kaelber et al., 2008)
Use Cases of PHRs

• Data entry/update by patients
• Data retrieval by providers
   – With patient’s consent
   – “Break-the-glass” emergency access

• Data update from EHRs
• Privacy settings
• Personalized patient education
• Communications with providers
EHRs and the Bigger Picture
Health Information Exchange (HIE)



                   Government


Hospital A                        Hospital B




                                   Clinic C
  Lab           Patient at Home
Google Flu Trends
                                (Biosurveillance)




Source: Google.org/FluTrends
Implications

• This is why we need standards!!!
   – Information exchange from one EHR system to
     another needs standards
   – Seamless exchange of information would
     improve quality, continuity, and efficiency of
     care
Summary

• EHRs (or EMRs) are both
  – Electronic documentation of patient care and
  – a broad term for an information system used to
    improve the process of patient care through
    better documentation and other care
    processes such as ordering medications, lab
    tests, or x-rays and viewing lab results and x-
    ray reports (among others)
Summary
• It is important to focus both on the technical aspect of
  EHR implementation as well as the management
  aspect (such as change management)
• Otherwise, a well-designed system may not be used,
  and patient care is not improved
• Many countries are trying to improve the EHR
  “adoption rate”
• EHRs are just one piece of the big puzzle for the
  whole healthcare system
• PHRs are a separate, but related concept of EHRs
Questions?

Contenu connexe

Tendances

Electronic health record
Electronic health recordElectronic health record
Electronic health recordEhrecord79
 
Electronic Health Record (EHR)
Electronic Health Record (EHR)Electronic Health Record (EHR)
Electronic Health Record (EHR)sourav goswami
 
Electronic medical record
Electronic medical recordElectronic medical record
Electronic medical recordFrank James
 
Hospital Information Systems & Electronic Health Records
Hospital Information Systems & Electronic Health RecordsHospital Information Systems & Electronic Health Records
Hospital Information Systems & Electronic Health RecordsNawanan Theera-Ampornpunt
 
Powerpoint on electronic health record lab 1
Powerpoint on electronic health record lab 1Powerpoint on electronic health record lab 1
Powerpoint on electronic health record lab 1nephrology193
 
Week 9 emr implementation final project
Week 9 emr implementation final projectWeek 9 emr implementation final project
Week 9 emr implementation final projectprdolfin
 
Healthcare information technology
Healthcare information technologyHealthcare information technology
Healthcare information technologyDr.Vijay Talla
 
EHR PPT Chapter 3.pptx
EHR PPT Chapter 3.pptxEHR PPT Chapter 3.pptx
EHR PPT Chapter 3.pptxanjalatchi
 
Benefits and Challenges of EHR
Benefits and Challenges of EHRBenefits and Challenges of EHR
Benefits and Challenges of EHRMindbowser Inc
 
Electronic medical record for Doctors
Electronic medical record for DoctorsElectronic medical record for Doctors
Electronic medical record for DoctorsRailwire
 
Electronic health record powerpoint assignment for informatics
Electronic health record powerpoint assignment for informaticsElectronic health record powerpoint assignment for informatics
Electronic health record powerpoint assignment for informaticsMichaelina Alexander
 
Pros and cons of ehr
Pros and cons of ehrPros and cons of ehr
Pros and cons of ehrNortec Ehr
 
Nursing emr power point
Nursing   emr power pointNursing   emr power point
Nursing emr power pointMRFRIZZ
 
Patient Record System (Electronic Medical Records).pptx
Patient Record System (Electronic Medical Records).pptxPatient Record System (Electronic Medical Records).pptx
Patient Record System (Electronic Medical Records).pptxmamtabisht10
 
What is the difference between EMR and EHR?
What is the difference between EMR and EHR?What is the difference between EMR and EHR?
What is the difference between EMR and EHR?ViSolve, Inc.
 
Electronic Medical Record (Emr)
Electronic Medical Record (Emr)Electronic Medical Record (Emr)
Electronic Medical Record (Emr)trina_chowdhury
 
Hospital Information Systems.pptx
Hospital Information Systems.pptxHospital Information Systems.pptx
Hospital Information Systems.pptxArdraSabu
 
Health Information Systems
Health Information SystemsHealth Information Systems
Health Information SystemsNikhil Agarwal
 
Electronic medical records
Electronic medical recordsElectronic medical records
Electronic medical recordsNamita Batra
 

Tendances (20)

Electronic health record
Electronic health recordElectronic health record
Electronic health record
 
Electronic Health Record (EHR)
Electronic Health Record (EHR)Electronic Health Record (EHR)
Electronic Health Record (EHR)
 
Electronic medical record
Electronic medical recordElectronic medical record
Electronic medical record
 
Hospital Information Systems & Electronic Health Records
Hospital Information Systems & Electronic Health RecordsHospital Information Systems & Electronic Health Records
Hospital Information Systems & Electronic Health Records
 
Powerpoint presentation on EHR
Powerpoint presentation on EHRPowerpoint presentation on EHR
Powerpoint presentation on EHR
 
Powerpoint on electronic health record lab 1
Powerpoint on electronic health record lab 1Powerpoint on electronic health record lab 1
Powerpoint on electronic health record lab 1
 
Week 9 emr implementation final project
Week 9 emr implementation final projectWeek 9 emr implementation final project
Week 9 emr implementation final project
 
Healthcare information technology
Healthcare information technologyHealthcare information technology
Healthcare information technology
 
EHR PPT Chapter 3.pptx
EHR PPT Chapter 3.pptxEHR PPT Chapter 3.pptx
EHR PPT Chapter 3.pptx
 
Benefits and Challenges of EHR
Benefits and Challenges of EHRBenefits and Challenges of EHR
Benefits and Challenges of EHR
 
Electronic medical record for Doctors
Electronic medical record for DoctorsElectronic medical record for Doctors
Electronic medical record for Doctors
 
Electronic health record powerpoint assignment for informatics
Electronic health record powerpoint assignment for informaticsElectronic health record powerpoint assignment for informatics
Electronic health record powerpoint assignment for informatics
 
Pros and cons of ehr
Pros and cons of ehrPros and cons of ehr
Pros and cons of ehr
 
Nursing emr power point
Nursing   emr power pointNursing   emr power point
Nursing emr power point
 
Patient Record System (Electronic Medical Records).pptx
Patient Record System (Electronic Medical Records).pptxPatient Record System (Electronic Medical Records).pptx
Patient Record System (Electronic Medical Records).pptx
 
What is the difference between EMR and EHR?
What is the difference between EMR and EHR?What is the difference between EMR and EHR?
What is the difference between EMR and EHR?
 
Electronic Medical Record (Emr)
Electronic Medical Record (Emr)Electronic Medical Record (Emr)
Electronic Medical Record (Emr)
 
Hospital Information Systems.pptx
Hospital Information Systems.pptxHospital Information Systems.pptx
Hospital Information Systems.pptx
 
Health Information Systems
Health Information SystemsHealth Information Systems
Health Information Systems
 
Electronic medical records
Electronic medical recordsElectronic medical records
Electronic medical records
 

En vedette

Electronic health records management
Electronic health records managementElectronic health records management
Electronic health records managementOZ Assignment help
 
RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20Aimee Hess
 
Electronic Records Management An Overview
Electronic Records Management An OverviewElectronic Records Management An Overview
Electronic Records Management An OverviewKen Matthews
 
Electronic Records Management
Electronic Records ManagementElectronic Records Management
Electronic Records ManagementBrad Houston
 
Electronic health records
Electronic health recordsElectronic health records
Electronic health recordsJocelyn Garcia
 
Electronic health records
Electronic health recordsElectronic health records
Electronic health recordsSyed Ali Raza
 

En vedette (9)

Electronic health records management
Electronic health records managementElectronic health records management
Electronic health records management
 
Electronic Records
Electronic RecordsElectronic Records
Electronic Records
 
RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20RHINO Interoperability Forum Kickoff 09-20
RHINO Interoperability Forum Kickoff 09-20
 
Electronic Records Management An Overview
Electronic Records Management An OverviewElectronic Records Management An Overview
Electronic Records Management An Overview
 
Nsg informatics
Nsg informaticsNsg informatics
Nsg informatics
 
E nursing corrected
E nursing correctedE nursing corrected
E nursing corrected
 
Electronic Records Management
Electronic Records ManagementElectronic Records Management
Electronic Records Management
 
Electronic health records
Electronic health recordsElectronic health records
Electronic health records
 
Electronic health records
Electronic health recordsElectronic health records
Electronic health records
 

Similaire à Electronic Health Records (ITCS404: IT for Healthcare Services)

Clinical Information Systems, Hospital Information Systems & Electronic Healt...
Clinical Information Systems, Hospital Information Systems & Electronic Healt...Clinical Information Systems, Hospital Information Systems & Electronic Healt...
Clinical Information Systems, Hospital Information Systems & Electronic Healt...Nawanan Theera-Ampornpunt
 
Adopting Information Systems in a Hospital - A Case Study & Lessons Learned
Adopting Information Systems in a Hospital - A Case Study & Lessons LearnedAdopting Information Systems in a Hospital - A Case Study & Lessons Learned
Adopting Information Systems in a Hospital - A Case Study & Lessons LearnedNawanan Theera-Ampornpunt
 
Policy Related to Health Information Systems: A U.S. Case Study
Policy Related to Health Information Systems: A U.S. Case StudyPolicy Related to Health Information Systems: A U.S. Case Study
Policy Related to Health Information Systems: A U.S. Case StudyNawanan Theera-Ampornpunt
 
Overview of Health Informatics and Disease Surveillance System
Overview of Health Informatics and Disease Surveillance SystemOverview of Health Informatics and Disease Surveillance System
Overview of Health Informatics and Disease Surveillance SystemNawanan Theera-Ampornpunt
 
Health Informatics: The Next Stethoscope in Healthcare
Health Informatics: The Next Stethoscope in HealthcareHealth Informatics: The Next Stethoscope in Healthcare
Health Informatics: The Next Stethoscope in HealthcareNawanan Theera-Ampornpunt
 
Health IT: The Big Picture (October 4, 2018)
Health IT: The Big Picture (October 4, 2018)Health IT: The Big Picture (October 4, 2018)
Health IT: The Big Picture (October 4, 2018)Nawanan Theera-Ampornpunt
 
Introduction to Health Informatics and Health Information Technology (Part 2)...
Introduction to Health Informatics and Health Information Technology (Part 2)...Introduction to Health Informatics and Health Information Technology (Part 2)...
Introduction to Health Informatics and Health Information Technology (Part 2)...Nawanan Theera-Ampornpunt
 
Health Informatics for Clinical Research (November 25, 2021)
Health Informatics for Clinical Research (November 25, 2021)Health Informatics for Clinical Research (November 25, 2021)
Health Informatics for Clinical Research (November 25, 2021)Nawanan Theera-Ampornpunt
 
Digital Health Transformation for Health Executives (January 18, 2022)
Digital Health Transformation for Health Executives (January 18, 2022)Digital Health Transformation for Health Executives (January 18, 2022)
Digital Health Transformation for Health Executives (January 18, 2022)Nawanan Theera-Ampornpunt
 
Health Informatics: An Overview of the Field
Health Informatics: An Overview of the FieldHealth Informatics: An Overview of the Field
Health Informatics: An Overview of the FieldNawanan Theera-Ampornpunt
 
Health Informatics & eHealth: Application of ICT for Health
Health Informatics & eHealth: Application of ICT for HealthHealth Informatics & eHealth: Application of ICT for Health
Health Informatics & eHealth: Application of ICT for HealthNawanan Theera-Ampornpunt
 
Digital Health 101 for Hospital Executives (October 4, 2021)
Digital Health 101 for Hospital Executives (October 4, 2021)Digital Health 101 for Hospital Executives (October 4, 2021)
Digital Health 101 for Hospital Executives (October 4, 2021)Nawanan Theera-Ampornpunt
 
Clinical Information Systems (Part 1) - Health IT: The Big Picture
Clinical Information Systems (Part 1) - Health IT: The Big PictureClinical Information Systems (Part 1) - Health IT: The Big Picture
Clinical Information Systems (Part 1) - Health IT: The Big PictureNawanan Theera-Ampornpunt
 

Similaire à Electronic Health Records (ITCS404: IT for Healthcare Services) (20)

Clinical Information Systems
Clinical Information SystemsClinical Information Systems
Clinical Information Systems
 
Clinical Information Systems, Hospital Information Systems & Electronic Healt...
Clinical Information Systems, Hospital Information Systems & Electronic Healt...Clinical Information Systems, Hospital Information Systems & Electronic Healt...
Clinical Information Systems, Hospital Information Systems & Electronic Healt...
 
Health IT: The Big Picture
Health IT: The Big PictureHealth IT: The Big Picture
Health IT: The Big Picture
 
Adopting Information Systems in a Hospital - A Case Study & Lessons Learned
Adopting Information Systems in a Hospital - A Case Study & Lessons LearnedAdopting Information Systems in a Hospital - A Case Study & Lessons Learned
Adopting Information Systems in a Hospital - A Case Study & Lessons Learned
 
Policy Related to Health Information Systems: A U.S. Case Study
Policy Related to Health Information Systems: A U.S. Case StudyPolicy Related to Health Information Systems: A U.S. Case Study
Policy Related to Health Information Systems: A U.S. Case Study
 
Overview of Health Informatics and Disease Surveillance System
Overview of Health Informatics and Disease Surveillance SystemOverview of Health Informatics and Disease Surveillance System
Overview of Health Informatics and Disease Surveillance System
 
IT and Data Management in ER
IT and Data Management in ERIT and Data Management in ER
IT and Data Management in ER
 
Health Informatics: The Next Stethoscope in Healthcare
Health Informatics: The Next Stethoscope in HealthcareHealth Informatics: The Next Stethoscope in Healthcare
Health Informatics: The Next Stethoscope in Healthcare
 
Health IT: The Big Picture (October 4, 2018)
Health IT: The Big Picture (October 4, 2018)Health IT: The Big Picture (October 4, 2018)
Health IT: The Big Picture (October 4, 2018)
 
Clinical Information Systems
Clinical Information SystemsClinical Information Systems
Clinical Information Systems
 
Introduction to Health Informatics and Health Information Technology (Part 2)...
Introduction to Health Informatics and Health Information Technology (Part 2)...Introduction to Health Informatics and Health Information Technology (Part 2)...
Introduction to Health Informatics and Health Information Technology (Part 2)...
 
Health Informatics for Clinical Research (November 25, 2021)
Health Informatics for Clinical Research (November 25, 2021)Health Informatics for Clinical Research (November 25, 2021)
Health Informatics for Clinical Research (November 25, 2021)
 
IT in Hospitals
IT in HospitalsIT in Hospitals
IT in Hospitals
 
Health IT in Hospital Settings
Health IT in Hospital SettingsHealth IT in Hospital Settings
Health IT in Hospital Settings
 
Digital Health Transformation for Health Executives (January 18, 2022)
Digital Health Transformation for Health Executives (January 18, 2022)Digital Health Transformation for Health Executives (January 18, 2022)
Digital Health Transformation for Health Executives (January 18, 2022)
 
Health Informatics: An Overview of the Field
Health Informatics: An Overview of the FieldHealth Informatics: An Overview of the Field
Health Informatics: An Overview of the Field
 
Health Informatics & eHealth: Application of ICT for Health
Health Informatics & eHealth: Application of ICT for HealthHealth Informatics & eHealth: Application of ICT for Health
Health Informatics & eHealth: Application of ICT for Health
 
Hospital Decision Support
Hospital Decision SupportHospital Decision Support
Hospital Decision Support
 
Digital Health 101 for Hospital Executives (October 4, 2021)
Digital Health 101 for Hospital Executives (October 4, 2021)Digital Health 101 for Hospital Executives (October 4, 2021)
Digital Health 101 for Hospital Executives (October 4, 2021)
 
Clinical Information Systems (Part 1) - Health IT: The Big Picture
Clinical Information Systems (Part 1) - Health IT: The Big PictureClinical Information Systems (Part 1) - Health IT: The Big Picture
Clinical Information Systems (Part 1) - Health IT: The Big Picture
 

Plus de Nawanan Theera-Ampornpunt

Health Informatics for Health Service Systems (March 11, 2024)
Health Informatics for Health Service Systems (March 11, 2024)Health Informatics for Health Service Systems (March 11, 2024)
Health Informatics for Health Service Systems (March 11, 2024)Nawanan Theera-Ampornpunt
 
Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)
Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)
Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)Nawanan Theera-Ampornpunt
 
Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)
Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)
Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)Nawanan Theera-Ampornpunt
 
Case Study PDPA Workshop (September 15, 2023)
Case Study PDPA Workshop (September 15, 2023)Case Study PDPA Workshop (September 15, 2023)
Case Study PDPA Workshop (September 15, 2023)Nawanan Theera-Ampornpunt
 
Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)
Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)
Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)Nawanan Theera-Ampornpunt
 
Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)
Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)
Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)Nawanan Theera-Ampornpunt
 
Relationship Between Thailand's Official Information Act and Personal Data Pr...
Relationship Between Thailand's Official Information Act and Personal Data Pr...Relationship Between Thailand's Official Information Act and Personal Data Pr...
Relationship Between Thailand's Official Information Act and Personal Data Pr...Nawanan Theera-Ampornpunt
 
Social Media - PDPA: Is There A Way Out? (October 19, 2022)
Social Media - PDPA: Is There A Way Out? (October 19, 2022)Social Media - PDPA: Is There A Way Out? (October 19, 2022)
Social Media - PDPA: Is There A Way Out? (October 19, 2022)Nawanan Theera-Ampornpunt
 
Do's and Don'ts on PDPA for Doctors (May 31, 2022)
Do's and Don'ts on PDPA for Doctors (May 31, 2022)Do's and Don'ts on PDPA for Doctors (May 31, 2022)
Do's and Don'ts on PDPA for Doctors (May 31, 2022)Nawanan Theera-Ampornpunt
 
Telemedicine: A Health Informatician's Point of View
Telemedicine: A Health Informatician's Point of ViewTelemedicine: A Health Informatician's Point of View
Telemedicine: A Health Informatician's Point of ViewNawanan Theera-Ampornpunt
 
การบริหารความเสี่ยงคณะฯ (February 9, 2022)
การบริหารความเสี่ยงคณะฯ (February 9, 2022)การบริหารความเสี่ยงคณะฯ (February 9, 2022)
การบริหารความเสี่ยงคณะฯ (February 9, 2022)Nawanan Theera-Ampornpunt
 
จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)
จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)
จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)Nawanan Theera-Ampornpunt
 
พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)
พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)
พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)Nawanan Theera-Ampornpunt
 
Updates on Privacy & Security Laws (November 26, 2021)
Updates on Privacy & Security Laws (November 26, 2021)Updates on Privacy & Security Laws (November 26, 2021)
Updates on Privacy & Security Laws (November 26, 2021)Nawanan Theera-Ampornpunt
 
Research Ethics and Ethics for Health Informaticians (November 15, 2021)
Research Ethics and Ethics for Health Informaticians (November 15, 2021)Research Ethics and Ethics for Health Informaticians (November 15, 2021)
Research Ethics and Ethics for Health Informaticians (November 15, 2021)Nawanan Theera-Ampornpunt
 
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...Nawanan Theera-Ampornpunt
 
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...Nawanan Theera-Ampornpunt
 
Health Information Privacy and Security (November 8, 2021)
Health Information Privacy and Security (November 8, 2021)Health Information Privacy and Security (November 8, 2021)
Health Information Privacy and Security (November 8, 2021)Nawanan Theera-Ampornpunt
 

Plus de Nawanan Theera-Ampornpunt (20)

Health Informatics for Health Service Systems (March 11, 2024)
Health Informatics for Health Service Systems (March 11, 2024)Health Informatics for Health Service Systems (March 11, 2024)
Health Informatics for Health Service Systems (March 11, 2024)
 
Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)
Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)
Personal Data Protection Act and the Four Subordinate Laws (February 29, 2024)
 
Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)
Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)
Privacy & PDPA Awareness Training for Ramathibodi Residents (October 5, 2023)
 
Case Study PDPA Workshop (September 15, 2023)
Case Study PDPA Workshop (September 15, 2023)Case Study PDPA Workshop (September 15, 2023)
Case Study PDPA Workshop (September 15, 2023)
 
Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)
Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)
Case Studies on Overview of PDPA and its Subordinate Laws (September 15, 2023)
 
Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)
Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)
Ramathibodi Security & Privacy Awareness Training (Fiscal Year 2023)
 
Relationship Between Thailand's Official Information Act and Personal Data Pr...
Relationship Between Thailand's Official Information Act and Personal Data Pr...Relationship Between Thailand's Official Information Act and Personal Data Pr...
Relationship Between Thailand's Official Information Act and Personal Data Pr...
 
Social Media - PDPA: Is There A Way Out? (October 19, 2022)
Social Media - PDPA: Is There A Way Out? (October 19, 2022)Social Media - PDPA: Is There A Way Out? (October 19, 2022)
Social Media - PDPA: Is There A Way Out? (October 19, 2022)
 
Do's and Don'ts on PDPA for Doctors (May 31, 2022)
Do's and Don'ts on PDPA for Doctors (May 31, 2022)Do's and Don'ts on PDPA for Doctors (May 31, 2022)
Do's and Don'ts on PDPA for Doctors (May 31, 2022)
 
Telemedicine: A Health Informatician's Point of View
Telemedicine: A Health Informatician's Point of ViewTelemedicine: A Health Informatician's Point of View
Telemedicine: A Health Informatician's Point of View
 
Meeting Management (March 2, 2022)
Meeting Management (March 2, 2022)Meeting Management (March 2, 2022)
Meeting Management (March 2, 2022)
 
การบริหารความเสี่ยงคณะฯ (February 9, 2022)
การบริหารความเสี่ยงคณะฯ (February 9, 2022)การบริหารความเสี่ยงคณะฯ (February 9, 2022)
การบริหารความเสี่ยงคณะฯ (February 9, 2022)
 
จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)
จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)
จริยธรรมและกฎหมายที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศทางสุขภาพ (February 8, 2022)
 
พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)
พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)
พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562 (PDPA) (January 21, 2022)
 
Updates on Privacy & Security Laws (November 26, 2021)
Updates on Privacy & Security Laws (November 26, 2021)Updates on Privacy & Security Laws (November 26, 2021)
Updates on Privacy & Security Laws (November 26, 2021)
 
Hospital Informatics (November 26, 2021)
Hospital Informatics (November 26, 2021)Hospital Informatics (November 26, 2021)
Hospital Informatics (November 26, 2021)
 
Research Ethics and Ethics for Health Informaticians (November 15, 2021)
Research Ethics and Ethics for Health Informaticians (November 15, 2021)Research Ethics and Ethics for Health Informaticians (November 15, 2021)
Research Ethics and Ethics for Health Informaticians (November 15, 2021)
 
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
 
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
Consumer Health Informatics, Mobile Health, and Social Media for Health: Part...
 
Health Information Privacy and Security (November 8, 2021)
Health Information Privacy and Security (November 8, 2021)Health Information Privacy and Security (November 8, 2021)
Health Information Privacy and Security (November 8, 2021)
 

Dernier

Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.ANJALI
 
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptxSYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptxdrashraf369
 
Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?bkling
 
Hematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes FunctionsHematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes FunctionsMedicoseAcademics
 
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...saminamagar
 
Basic principles involved in the traditional systems of medicine PDF.pdf
Basic principles involved in the traditional systems of medicine PDF.pdfBasic principles involved in the traditional systems of medicine PDF.pdf
Basic principles involved in the traditional systems of medicine PDF.pdfDivya Kanojiya
 
epilepsy and status epilepticus for undergraduate.pptx
epilepsy and status epilepticus  for undergraduate.pptxepilepsy and status epilepticus  for undergraduate.pptx
epilepsy and status epilepticus for undergraduate.pptxMohamed Rizk Khodair
 
PULMONARY EDEMA AND ITS MANAGEMENT.pdf
PULMONARY EDEMA AND  ITS  MANAGEMENT.pdfPULMONARY EDEMA AND  ITS  MANAGEMENT.pdf
PULMONARY EDEMA AND ITS MANAGEMENT.pdfDolisha Warbi
 
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 
97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAAjennyeacort
 
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS  CLASSIFICATIONS.pdfLUNG TUMORS AND ITS  CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS CLASSIFICATIONS.pdfDolisha Warbi
 
Glomerular Filtration rate and its determinants.pptx
Glomerular Filtration rate and its determinants.pptxGlomerular Filtration rate and its determinants.pptx
Glomerular Filtration rate and its determinants.pptxDr.Nusrat Tariq
 
Case Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxCase Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxNiranjan Chavan
 
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
PNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdfPNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdf
PNEUMOTHORAX AND ITS MANAGEMENTS.pdfDolisha Warbi
 
Presentation on Parasympathetic Nervous System
Presentation on Parasympathetic Nervous SystemPresentation on Parasympathetic Nervous System
Presentation on Parasympathetic Nervous SystemPrerana Jadhav
 
POST NATAL EXERCISES AND ITS IMPACT.pptx
POST NATAL EXERCISES AND ITS IMPACT.pptxPOST NATAL EXERCISES AND ITS IMPACT.pptx
POST NATAL EXERCISES AND ITS IMPACT.pptxvirengeeta
 
Culture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptxCulture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptxDr. Dheeraj Kumar
 
Apiculture Chapter 1. Introduction 2.ppt
Apiculture Chapter 1. Introduction 2.pptApiculture Chapter 1. Introduction 2.ppt
Apiculture Chapter 1. Introduction 2.pptkedirjemalharun
 
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfPULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfDolisha Warbi
 
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaurMETHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaurNavdeep Kaur
 

Dernier (20)

Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.Statistical modeling in pharmaceutical research and development.
Statistical modeling in pharmaceutical research and development.
 
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptxSYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
SYNDESMOTIC INJURY- ANATOMICAL REPAIR.pptx
 
Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?Let's Talk About It: To Disclose or Not to Disclose?
Let's Talk About It: To Disclose or Not to Disclose?
 
Hematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes FunctionsHematology and Immunology - Leukocytes Functions
Hematology and Immunology - Leukocytes Functions
 
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
call girls in Dwarka Sector 21 Metro DELHI 🔝 >༒9540349809 🔝 genuine Escort Se...
 
Basic principles involved in the traditional systems of medicine PDF.pdf
Basic principles involved in the traditional systems of medicine PDF.pdfBasic principles involved in the traditional systems of medicine PDF.pdf
Basic principles involved in the traditional systems of medicine PDF.pdf
 
epilepsy and status epilepticus for undergraduate.pptx
epilepsy and status epilepticus  for undergraduate.pptxepilepsy and status epilepticus  for undergraduate.pptx
epilepsy and status epilepticus for undergraduate.pptx
 
PULMONARY EDEMA AND ITS MANAGEMENT.pdf
PULMONARY EDEMA AND  ITS  MANAGEMENT.pdfPULMONARY EDEMA AND  ITS  MANAGEMENT.pdf
PULMONARY EDEMA AND ITS MANAGEMENT.pdf
 
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 
97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA97111 47426 Call Girls In Delhi MUNIRKAA
97111 47426 Call Girls In Delhi MUNIRKAA
 
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS  CLASSIFICATIONS.pdfLUNG TUMORS AND ITS  CLASSIFICATIONS.pdf
LUNG TUMORS AND ITS CLASSIFICATIONS.pdf
 
Glomerular Filtration rate and its determinants.pptx
Glomerular Filtration rate and its determinants.pptxGlomerular Filtration rate and its determinants.pptx
Glomerular Filtration rate and its determinants.pptx
 
Case Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxCase Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptx
 
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
PNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdfPNEUMOTHORAX   AND  ITS  MANAGEMENTS.pdf
PNEUMOTHORAX AND ITS MANAGEMENTS.pdf
 
Presentation on Parasympathetic Nervous System
Presentation on Parasympathetic Nervous SystemPresentation on Parasympathetic Nervous System
Presentation on Parasympathetic Nervous System
 
POST NATAL EXERCISES AND ITS IMPACT.pptx
POST NATAL EXERCISES AND ITS IMPACT.pptxPOST NATAL EXERCISES AND ITS IMPACT.pptx
POST NATAL EXERCISES AND ITS IMPACT.pptx
 
Culture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptxCulture and Health Disorders Social change.pptx
Culture and Health Disorders Social change.pptx
 
Apiculture Chapter 1. Introduction 2.ppt
Apiculture Chapter 1. Introduction 2.pptApiculture Chapter 1. Introduction 2.ppt
Apiculture Chapter 1. Introduction 2.ppt
 
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdfPULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
PULMONARY EMBOLISM AND ITS MANAGEMENTS.pdf
 
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaurMETHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
METHODS OF ACQUIRING KNOWLEDGE IN NURSING.pptx by navdeep kaur
 

Electronic Health Records (ITCS404: IT for Healthcare Services)

  • 1. Electronic Health Records ITCS 404: IT for Healthcare Services Nawanan Theera-Ampornpunt, MD, PhD Faculty of Medicine Ramathibodi Hospital Jan 18, 2012 http://www.slideshare.net/nawanan
  • 2. A Bit About Myself 2003 M.D. (Ramathibodi) 2009 M.S. in Health Informatics (U of MN) 2011 Ph.D. in Health Informatics (U of MN) Health Informatician/Systems Analyst Health Informatics Division Faculty of Medicine Ramathibodi Hospital Mahidol University ranta@mahidol.ac.th Research interests: • Health IT applications in clinical settings (including EHRs) • Health IT “adoption” • Health informatics education
  • 4. What Is A Medical Record?
  • 5. What Is A Medical Record? • A record or documentation of a patient’s medical history, examination, and treatments. • Medical Record vs. Health Record – Essentially the same
  • 6. Class Exercise 1 • Why do we need a health record?
  • 7. Class Exercise 1 • Why do we need a health record? • In other words, why do we need a documentation of a patient’s medical care?
  • 8. Potential Uses of Medical Records • Continuity of providing care – Note important information for later use – Especially important in chronic diseases (e.g. hypertension, diabetes) or in follow-up (e.g. after surgery) • Patient safety – Preventing something bad because of lack of information – Such as drug allergies, list of current medications, “problem list”
  • 9. Potential Uses of Medical Records • Communications between providers – Referral to specialists or other physicians – Consulting among physicians – Communications between physicians and nurses, pharmacists, physical therapists, etc. – Transfer from a hospital to another • Medico-legal purposes – e.g. Court evidence against malpractice – What was done or provided to the patient? Why? By whom? When? – Was the care provided up to the professional standard?
  • 10. Potential Uses of Medical Records • Claims and reimbursements – What services were provided to the patient – How (and how much) will the hospitals/doctors be paid? – Audit of medical records by “payers” • Patient’s uses – Health insurance claims – Self-education & self-care • Clinical research – Find ways to improve health care through new knowledge
  • 11. Class Exercise 2 • What do you think should be in the medical records?
  • 12. Data Elements in Medical Records • Patient demographics • General information about each visit (visit = encounter) – Type (outpatient, inpatient, emergency) – Date/Time – Location (clinic or ward) “Clinical Notes” • Patient’s problems (“Patient history”) – Chief complaint – Present illness – Past history – Family and social history
  • 13. Data Elements in Medical Records • Clinical findings by physicians (“Physical examination”) – Any important positive (usually abnormal) findings – Also important negative (usually normal) findings • “Investigations” – Laboratory tests (blood tests, urine, etc.) – Radiological examinations (X-rays, CT, MRI, ultrasound) – Other diagnostic procedures • Electrocardiography (EKG/ECG) -- heart’s function • Electroencephalography (EEG) -- brain wave scans • Etc.
  • 14. Data Elements in Medical Records • “Problems” or “Diagnoses” – Summary of problems relevant to this visit • Treatments – Medications – Surgical procedures – Advice to patients – Admission (hospitalization) • Plans – Surgeries – More investigations to be done later – Follow-up appointments
  • 15. Data Elements in Medical Records • Inpatient clinical notes – Admission notes – Orders (medications, procedures, investigations, nursing care, etc.) – Medication administration records – Vital signs and other measurements – Results of lab tests and radiological examinations – Progress notes – Discharge summary
  • 16. “Electronic” Medical Records • Electronic Medical Records (EMRs) vs. Electronic Health Records (EHRs) • Debate about similarities & differences • Summary – Definitions subjective, depending on how people think – EMRs mostly refer to electronic documentation of medical care at one visit – EHRs mostly refer to electronic documentation that is longitudinal in nature (may be several visits) – EMRs commonly used in Thailand (but means the same as EHRs)
  • 17. Various Forms of Health IT Hospital Information System (HIS) Computerized Provider Order Entry (CPOE) Electronic Health Records Picture Archiving and (EHRs) Communication System (PACS)
  • 18. Still Many Other Forms of Health IT Health Information Exchange (HIE) m-Health Biosurveillance Personal Health Records (PHRs) Telemedicine & Information Retrieval Telehealth Images from Apple Inc., Geekzone.co.nz, Google, PubMed.gov, and American Telecare, I
  • 19. Longitudinal Records • Records documented over time (multiple encounters) • Ideally, “life-long” is a complete record of the patient’s health
  • 20. The Confusing Acronyms Computer-Based Patient Records Electronic Medical (CPRs) Records (EMRs) Electronic Patient Electronic Health Records (EPRs) Records (EHRs) Personal Health Records (PHRs) Hospital Information Systems (HIS)
  • 21. Benefits of EHRs and EHR Adoption
  • 22. Innovation Adoption • Innovation: “an idea, practice, or object that is perceived as new by an individual or other unit of adoption” – EHRs and health IT are innovation • Adoption: “a decision to make full use of an innovation as the best course of action available” • Diffusion of innovations theory (Rogers, 2003)
  • 23. Class Exercise 3 • Why do we need to “adopt” an electronic version of medical records?
  • 24. Common “Goals” for EHRs/Health IT Adoption “Computerize” “Go paperless” “Get an electronic copy “Digital Hospital” “Have EMRs” “Modernize” “Share data”
  • 25. Is There A Role for Health IT? (IOM, 2000)
  • 26. Landmark IOM Reports (IOM, 2000) (IOM, 2001)
  • 27. Landmark IOM Reports: Summary • Humans are not perfect and are bound to make errors • Highlight problems in the U.S. health care system that systematically contributes to medical errors and poor quality • Recommends reform that would change how health care works and how technology innovations can help improve quality/safety
  • 28. Why We Need Health IT • Health care is very complex (and inefficient) • Health care is information-rich • Quality of care depends on timely availability & quality of information • Clinical knowledge body is too large • Short time during a visit • Practice guidelines are put “on-the-shelf” • “To err is human”
  • 29. To Err Is Human • Perception errors Image Source: interaction-dynamics.com
  • 30. To Err Is Human • Lack of Attention Image Source: aafp.org
  • 31. Class Exercise 3 The Economist Purchase Options • Economist.com subscription $59 • Print subscription $125 • Print & web subscription $125
  • 32. Class Exercise 3 The Economist Purchase Options • Economist.com subscription $59 • Print & web subscription $125
  • 33. To Err Is Human • Cognitive Errors - Example: Decoy Pricing # of The Economist Purchase Options People • Economist.com subscription $59 16 • Print subscription $125 0 • Print & web subscription $125 84 # of The Economist Purchase Options People • Economist.com subscription $59 68 • Print & web subscription $125 32 (Ariely, 2008)
  • 34. What If This Happens in Healthcare? • It already happens.... (Mamede et al., 2010; Croskerry, 2003; Klein, 2005) • What if health IT can help?
  • 35. Fundamental Theorem of Informatics (Friedman, 2009) (Friedman, 2009)
  • 36. Underlying Assumption Adoption Use of Better of EHRs EHRs Outcomes
  • 37. Underlying Assumption • Better clinical outcomes • Improved patient satisfaction Individual • More provider productivity/satisfaction Adoption & use • Improved operational efficiency • Better data for research, quality improvements • Reduced costs/increased revenues (e.g. better Organizational Adoption & Use claims & reimbursements) • Better individual health/quality of life • Better population health Societal • Long-term cost savings Adoption & Use
  • 38. Benefits of Going Electronic (EHRs) • Ubiquitous availability (anytime, anywhere, everyone who is authorized) • Multiple concurrent uses • The end of “Where the heck is the patient’s record?!?” • Ability to control & enforce access security • Structured data entry possible • Data presentation that is easier to understand (e.g. graphs) • Efficiency in data entry? (but sometimes it slows users down!) • Process improvement (business process reengineering/redesign, quality improvement) • No doctor’s handwriting!!!!!
  • 39. Electronic Health Record (EHR) Systems • Are they just electronic documentation? History Diag- Treat- ... & PE nosis ments • Or do they have some other values?
  • 40. Literature Shows Benefits of Health IT • Literature suggests improvement in health care through – Guideline adherence – Better documentation – Practitioner decision making or process of care – Medication safety – Patient surveillance & monitoring – Patient education/reminder – Cost savings and better financial performance
  • 41. Functions That Should be Part of EHR Systems • Patient Demographics • Physician Notes • Computerized Medication Order Entry • Computerized Laboratory Order Entry • Computerized Laboratory Results • Problem Lists • Medication Lists • Discharge Summaries • Diagnostic Test Results • Radiologic Reports
  • 42. Adoption of Health IT: United States U.S. Ambulatory Setting 100 90 % of Physicians 80 70 60 50 48.3 50.7 34.8 42.0 40 30 23.9 29.2 24.9 20 18.2 17.3 17.3 20.8 16.9 21.8 9.3 10.5 11.8 10 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Year of Study Any EHR EHR with Basic Features Basic Features: Demographics, problem lists, clinical notes, test results, imaging results, order entry for medications Source: National Ambulatory Medical Care Survey (NAMCS) 2001-2010
  • 43. Adoption of Health IT: United States U.S. Inpatient Setting 2008 2009 – Basic EHRs 7.2% 9.2% – Comprehensive EHRs 1.5% 2.7% – Computerized 17% 34% Order Entry for Medications Sources: Jha et al., 2009 & 2010
  • 44. Definitions for Adoption Rates Functions Jha et al. Basic EHR Comprehensive EHR Demographics   Physicians’ notes   Nursing assessments   Problem lists   Medication lists   Discharge summaries   Advanced directives  Test and imaging results Laboratory reports   Radiologic reports   Radiologic images  Diagnostic-test results   Diagnostic-test images  Consultant reports  Computerized provider-order entry Laboratory tests  Radiologic tests  Medications   Consultation requests  Nursing orders  Decision support Clinical guidelines  Clinical reminders  Drug-allergy alerts  Drug-drug-interaction alerts  Drug-laboratory interaction alerts  Drug-dose support 
  • 45. EHR Adoption: Thailand (2011) Estimate (Partial or Complete Nationwide Adoption) Basic EHR, combined inpatient & 49.8% outpatient settings Comprehensive EHR, combined 5.3% order entry of medications, combined 90.2% order entry of all orders, combined 79.4% Basic EHR: a score > 1 in a 5-point scale for IT support for demographics, MD notes, nursing assessments (inpatient only), discharge summaries (inpatient only), test results, order entry for medications Comprehensive EHR: a score > 3 in a 5-point scale for Basic EHR functions + electronic image viewing, order entry for lab tests and radiologic tests, drug-allergy alerts, drug-drug alerts
  • 46. EHR/HIS Adoption in Thailand (2004) Pongpirul et al., 2004
  • 47. EHR/HIS Adoption in Thailand (2011) Abstract ePHIS None 2% THIADES 1% HoMC 2% HIMS 2% 1% Other 7% MedTrak/ TrakCare 2% H.I.M. Professional 2% MRecord 2% Mit-Net HOSxP 2% SSB 50% 4% Hospital OS 7% Self-developed or outsourced 16% Theera-Ampornpunt, 2011 [Dissertation]
  • 49. EHR Systems/HIS: Issues • Functionality & workflow considerations • Structure & format of data entry – Free text vs structured data forms – Usability – Use of standards & vocabularies (e.g. ICD-10, SNOMED CT) – Templates (e.g. standard narratives, order sets) – Level of customization per hospital, specialty, location, group, clinician – Reduced clinical value due to over-documentation (e.g. medico-legal, quality accreditation) – “Copy & Paste” garbage – Special documents (e.g. operative notes, anesthetic notes) – Integration with paper systems (e.g. scanned records, legal documents)
  • 50. EHR Systems/HIS: Issues • Reliability & contingency/business continuity planning • Roll-out strategies & change management • Are they going to slow down patient care process? • System Interfaces
  • 51. Class Exercise 4 • What do you think is better for EHRs: structured or unstructured data?
  • 53. Facilitators of EHR Adoption Jha et al. (2009)
  • 54. Barriers to EHR Adoption Jha et al. (2009)
  • 55. EHR Adoption Barriers (Why People Don’t Use EHRs?) • “Workarounds”
  • 56. EHR Adoption Barriers (Why People Don’t Use EHRs?) • Technical & design issues – Poor software implementation • Does not meet requirements • Buggy – Poor usability and user experience • Complex/clunky UI • Easy to make error or miss something – Poor system performance • Slow • Unreliable
  • 57. EHR Adoption Barriers (Why People Don’t Use EHRs?) • Management issues – Does not seem to improve their work process – Too much work entering data – Unclear values to users (or even negative outcomes!) • “Unintended consequences” of using health IT – Executives not fully supporting the project – “Power shift” among users – Communications and engagement (involvement) of users early and repeatedly during various phases of the project – Poor training and technical support – Users perceived they are treated poorly or their voices are not heard
  • 58. The Importance of “Change Management” “One of the most important lessons learned to date is that the complexity of human change management may be easily underestimated” Langberg ML (2003) in “Challenges to implementing CPOE: a case study of a work in progress at Cedars-Sinai”
  • 59. Public Policy on EHR Adoption
  • 60. Political Support Behind Health IT ? “...We will make wider use of electronic records and other health information technology, to help control costs and reduce dangerous medical errors.” President George W. Bush Sixth State of the Union Address January 31, 2006 Source: Wikisource.org Image Source: Wikipedia.org
  • 61. President Obama Backs Health IT “...Our recovery plan will invest in electronic health records and new technology that will reduce errors, bring down costs, ensure privacy, and save lives.” President Barack Obama Address to Joint Session of Congress February 24, 2009 Source: WhiteHouse.gov
  • 62. American Recovery & Reinvestment Act • Contains HITECH Act (Health Information Technology for Economic and Clinical Health Act) • ~ 20 billion dollars for Health IT investments • Incentives & penalties for providers
  • 63. National Leadership (U.S.)  Office of the National Coordinator for Health Information Technology (ONC -- formerly ONCHIT) David Blumenthal, MD, MPP National Coordinator for Health Information Technology (2009 - 2011) Farzad Mostashari, MD, ScM National Coordinator for Health Information Technology (2011 - Present) Photos courtesy of U.S. Department of Health & Human Services
  • 64. What is in HITECH Act? Blumenthal D. Launching HITECH. N Engl J Med. 2010 Feb 4;362(5):382-5.
  • 66. “Meaningful Use” “Meaningful Use” Pumpkin of a Pumpkin Image Source & Idea Courtesy of Pat Wise at HIMSS, Oct. 2009
  • 67. “Meaningful Use” of Health IT Stage 1 - Electronic capture of Better health information - Information sharing Stage 3 Health - Data reporting Stage 2 Use of EHRs to Use of improve EHRs to outcomes improve processes of care (Blumenthal D, 2010)
  • 68. Meaningful Use Final Rule: Core Objectives (Selected) • Electronic capture of information – Demographics – Vital signs – Medication list – Allergies – Problem list – Smoking • Medication order entry • Drug-allergy & drug-drug interaction checks • Patient access to/copy of health information
  • 69. Meaningful Use Final Rule: Menu Set (Selected) • Drug formulary checks • Lab results incorporation into EHRs • Generate lists of patients by specific conditions • Medication reconciliation • Electronic reporting to governmental agencies • Advanced directives for elderly patients • Patient reminders for certain services (for clinics) • Patient access to health information (for clinics)
  • 70. Final Rule on Standards & Certification Criteria (Selected) • Content Exchange Standards – HL7 CDA Release 2 & CCD – NCPDP SCRIPT • Vocabularies – SNOMED CT – LOINC® – RxNorm ® • Security – NIST-certified encryption algorithms • Etc.
  • 72. Personal Health Records (PHRs) • “An electronic application through which individuals can access, manage and share their health information, and that of others for whom they are authorized, in a private, secure, and confidential environment.” (Markle Foundation, 2003) • “A PHR includes health information managed by the individual... This can be contrasted with the clinician’s record of patient encounter–related information [a paperchart or EHR], which is managed by the clinician and/or health care institution.” (Tang et al., 2006)
  • 73. Types of PHRs • Patient portal from a provider’s EHRs (“tethered” PHRs) • Online PHRs – Stand-alone – Can be integrated with EHRs from multiple providers (unidirectional/bidirectional data sharing) • Stand-alone PHRs – PC-based applications – USB Drive – CD-ROM or other data storage devices – Paper
  • 74. Ideal PHRs • Integrated • Accessible • Secure • Comprehensive • Accurate & current • Patient able to manage sharing & update information • Engaging & educational • User-friendly, culturally & literacy appropriate The “Hub and Spoke” Model (Kaelber et al., 2008)
  • 75. Use Cases of PHRs • Data entry/update by patients • Data retrieval by providers – With patient’s consent – “Break-the-glass” emergency access • Data update from EHRs • Privacy settings • Personalized patient education • Communications with providers
  • 76. EHRs and the Bigger Picture
  • 77. Health Information Exchange (HIE) Government Hospital A Hospital B Clinic C Lab Patient at Home
  • 78. Google Flu Trends (Biosurveillance) Source: Google.org/FluTrends
  • 79. Implications • This is why we need standards!!! – Information exchange from one EHR system to another needs standards – Seamless exchange of information would improve quality, continuity, and efficiency of care
  • 80. Summary • EHRs (or EMRs) are both – Electronic documentation of patient care and – a broad term for an information system used to improve the process of patient care through better documentation and other care processes such as ordering medications, lab tests, or x-rays and viewing lab results and x- ray reports (among others)
  • 81. Summary • It is important to focus both on the technical aspect of EHR implementation as well as the management aspect (such as change management) • Otherwise, a well-designed system may not be used, and patient care is not improved • Many countries are trying to improve the EHR “adoption rate” • EHRs are just one piece of the big puzzle for the whole healthcare system • PHRs are a separate, but related concept of EHRs