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An introduction
 What is health informatics?
 Why is it important?
 What does health informatics include?
 What does it mean for me?
 How do I find out where to learn
more?
Collect
Store
Share
Use
Maintain
Collect
Store
Share
Maintain
 the study of information processing as it is
used in healthcare
 the field that deals with the storage,
retrieval, sharing, and optimal use of
health information, data, and knowledge
for problem solving and decision making
 includes science and practice of
healthcare, its information and knowledge
and their management with information
and communication technologies to
promote the health of people, families and
communities world wide
 HINZ – www.hinz.org.nz
 IMIA - www.imia.org
 Health IT cluster - www.healthit.org.nz
 Ministry of Health - www.health.govt.nz
 National Health IT Board -
www.ithealthboard.health.nz
 Particular commitment to “patient controlled
record” by 2014
 eHealth Vision
◦ “better access to information about our health”
◦ “better, sooner, more convenient health care”
◦ integrated consumer-centred care
◦ having access to their own health information
◦ improving electronic storage
◦ share information regionally and nationally
◦ consolidated platform for shared care
◦ high quality health care and improved patient
safety
 Electronic Health Records
 Knowledge Management
 Decision support
 Telemedicine and telehealth
 Standards
 Evidence for benefit/harm
 Ethics and Security
Communications
Data collection
and analysis
Knowledge
Decision support
Electronic health record
Surveillance, Public Health
Coding
ICD10 - Classification
Messaging, HL7
Telecare
EHealth
MHealth
Evidence-Based Practice
Ontologies and vocabularies
All aiming for better health outcomes
October 2012
“The Herald understands staff allegedly
accessed the man's medical file and emailed the
x-rays. It is understood the incident could lead
to court action against those involved.”
 What technology is involved and is this a
technological issue?
 They don’t learn
 They can’t tell what you mean
 They don’t get bored
 Discrete variables
 National Health Index – NHI
 Name, date of birth, gender, address
 Values collected – blood test results
 Clinical data - blood pressure, clinical signs,
diagnosis, medications
Data itself is nothing…
Should provide useful, usable
information that makes a difference
to patient care
 Data in context
 120/80 means something if you
know it is mmHg
 However it still doesn’t tell you
anything about whether the patient is
sick or well.
 Need more data to provide context –
when taken, other readings, age,
medical history, medications
 Adds MEANING to information
 120/80 is high blood pressure in an
infant
 May be high relative to other readings
in an adult
 Relies on expertise to interpret.
 Information to knowledge usually
done by humans, can see clinical
diagnosis as this sort of process…
 Can utilise Decision Support Systems
 NHS direct…
 https://www.nhsdirect.nhs.uk/CheckSympto
ms/SATs/GeneralIllness12AndOver
 Patients
◦ Self treatment and support
 Clinical staff
◦ Support diagnosis and treatment
 Administration and funders
◦ Cost Estimation
◦ Management
◦ Resource allocation
◦ Outcomes
• What are EHRs?
• Examples of EHRs
• Issues with EHR
 “Computer-based systems for input, storage,
display, retrieval, and printing of information
contained in a patient's medical record” – Pubmed
 Part of a clinical information system relating to
individuals
 Records information about a person:
◦ Presenting symptoms
◦ Results of tests and clinical examinations
◦ Encounters with health professionals
◦ Treatment and plans for further management
Electronic
Health Record
Laboratory results
Administration Systems
Imaging (including PACS)
Clinical users
Government and
provider statistics
Other health care
providers
Etc.
Middleware e.g. Web Portal
A NZ veterinary practice is advertising online
that they offer electronic health records for
pets. If your Vet is closed another in the town
can see your pet and access their health record
and provide care.
Why can’t we do this for people too?
 What do you think might be the potential
benefits of EHRs?
 What might be some of the issues for EHRs?
 Always available
 Legible
 Searchable
 Sharable
 Different views
 Audit and decision support
 Security
 Consistency of data
 Free text versus coding
 Security – who can access and when
 Protecting an individual's privacy
 Need a computer
 “Fishing expeditions”
 Sharing information safely
 Orion
http://www.orionhealth.com/solutions/packages/electronic-
health-record-ehr
 Medtech
http://www.medtechglobal.com/nz/products/medtech32-
nz.html
 Microsoft – health vault
http://healthvault.com/hvindex.htm?rmproc=true
 Personal health records
 Web 2.0 Medical records
Data collected should be available for:
 Supporting clinical intervention
 Clinical Governance
 Administration (in all parts of health)
 Strategy and policy development
 Research
 Patient (consumer) self-management and self
care.
 Use data from Electronic Health Record
combined with rules
 Reminders – eg high blood pressure,
protocols
 Decision Analysis – need utility values
 Alerts
 Linking to resources
 Recalls-Cervical screening, immunisations
 Telehealth
 Data to record diagnoses, observations,
outcomes.
• Coding - Diagnostic related groups (DRGS)
◦ ICD 10 codes
◦ Read codes
◦ Snomed CT
 Vocabularies – to standardise terms, shared
meanings
◦ Pre-eclampsia, PE, Toxaemia, PET, Gestational
Proteinuric Hypertension GPH
 International Classification of disease (ICD) currently
version 10.
http://www.who.int/classifications/icd/en/
 World Health Organisation standard
http://www.cdc.gov/nchs/about/otheract/icd9/icd10cm.ht
m
ICD10 Code Description
O104.11 Pre-existing secondary hypertension complicating pregnancy, first trimester
O104.12 Pre-existing secondary hypertension complicating pregnancy, second trimester
O104.13 Pre-existing secondary hypertension complicating pregnancy, third trimester
O104.19 Pre-existing secondary hypertension complicating pregnancy, unspecified trimester
 http://www.health.govt.nz/nz-health-
statistics/classification-and-
terminology/new-zealand-snomed-ctr-
national-release-centre _ NZ release centre
 Free to use
 Endorsed standard
 Global standard
 Hierarchical
 Concepts - also link concepts
 Synonyms and different languages
 >600,000K Concepts
 clinical vocabulary administered by
international health terminology standards
development organisation (IHTSDO)
http://www.ihtsdo.org/.
 Member countries; Australia, Canada,
Denmark, Lithuania, Netherlands, NZ, Sweden,
UK & USA
 http://www.health.govt.nz/nz-health-
statistics/classification-and-
terminology/new-zealand-snomed-ctr-
national-release-centre _ NZ release centre
 Free to use
 Endorsed standard
Unstructured text
Extract SNOMED terms
EHR
Map to ICD 10 Send/receive messages
 Structured Pathology Reporting for Cancer from Free Text: Lung Cancer
Case Study
 Anthony Nguyen, Michael Lawley, David Hansen, Shoni Colquist

Abstract
 .
Results: Checklist items were identified in the free text report and used
for structured reporting. The synthesised TNM staging values classified
by the system were evaluated against explicitly mentioned TNM stages
from 487 reports and achieved an overall accuracy of 78%, 89% and 95%
for T, N and M stages respectively.
Conclusion: A system to generate structured cancer case reports from
free-text pathology reports using symbolic rule-based classification
techniques was developed and shows promise. The approach can be
easily adapted for other cancer case structured reports.
 http://research.ict.csiro.au/software/snapper
 Communication of information is a
key task in health informatics
 Communication must be accurate,
reliable and timely
◦ Prescriptions (from hospital or GP to
Pharmacy)
◦ Referrals (from GP to hospital)
◦ Discharge Summaries (from hospital to
GP)
◦ Lab results
 Potential architectures
 Single Clinical Information system
◦ Everybody accesses own part and gets views of
other data.
 Centralised model
◦ Requires very large investment
◦ Issues with who “owns” data
◦ Connectivity always needed – robust & 24/7
 Independent systems that communicate
 Low investment needed
 Fewer issues with ownership
 Only data that needs to be transferred is
sent
 BUT
◦ N(n-1) connections
◦ Interface issues
◦ Who looks after it ?
 Standard message formats (HL 7 –
simple way to format message for safe
transmission)
 Use VPN, SSL and other encryption to
allow use of standard commercial
infrastructure
 DICOM - A system for transferring
images, including X-rays, ultrasound
etc. Aims to prevent image information
separating from patient data.
 Treaty of Waitangi
 Professional codes of conduct
 Privacy Act & Health Information Privacy
Code
 Technological solutions:
◦ Audit trails – who looked at the data
◦ Industry-standard security and authentication
◦ Rules for data preservation
◦ Data consistency and cross-checking
◦ Sealed envelopes
 Rule 1: Purpose of collection of health information
 Rule 2: Source of health information
 Rule 3: Collection of health information from
individual
 Rule 4: Manner of collection of health information
 Rule 5: Storage and security of health information
 Rule 6: Access to personal health information
 Rule 7: Correction of health information
 Rule 8: Accuracy etc of health information to be
checked before use
 Rule 9: Retention of health information
 Rule 10: Limits on use of health information
 Rule 11: Limits on disclosure of health information
 Rule 12: Unique identifiers
QUOTE: The past is gone; the future is unknown
-- but the present is real, and your
opportunities are now.
QUESTION:
From what you have seen and read list trends
that will be more dominant in the future of
technology and health care.
 International trends include:
◦ Communication technologies
◦ Portability
◦ Digital divide
◦ Changing public
◦ Genomics
◦ Tele-health
 What basic information literacy skills
should health professionals possess?
 Where and how should they get the
education for this?
 To what extent should health
professionals be trained in IT to enable
them to work with health information
systems?
 Professionals in health and IT need the skills
that provide for
◦ lifelong learning
◦ career development
◦ critical thinking ability
◦ communication skills
◦ information literacy
Follow Up:
Personal assessment and plan
International Computer Driving License
An Introduction to Health Informatics

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An Introduction to Health Informatics

  • 2.  What is health informatics?  Why is it important?  What does health informatics include?  What does it mean for me?  How do I find out where to learn more?
  • 5.  the study of information processing as it is used in healthcare  the field that deals with the storage, retrieval, sharing, and optimal use of health information, data, and knowledge for problem solving and decision making  includes science and practice of healthcare, its information and knowledge and their management with information and communication technologies to promote the health of people, families and communities world wide
  • 6.  HINZ – www.hinz.org.nz  IMIA - www.imia.org  Health IT cluster - www.healthit.org.nz  Ministry of Health - www.health.govt.nz  National Health IT Board - www.ithealthboard.health.nz
  • 7.
  • 8.
  • 9.  Particular commitment to “patient controlled record” by 2014  eHealth Vision ◦ “better access to information about our health” ◦ “better, sooner, more convenient health care” ◦ integrated consumer-centred care ◦ having access to their own health information ◦ improving electronic storage ◦ share information regionally and nationally ◦ consolidated platform for shared care ◦ high quality health care and improved patient safety
  • 10.  Electronic Health Records  Knowledge Management  Decision support  Telemedicine and telehealth  Standards  Evidence for benefit/harm  Ethics and Security
  • 11. Communications Data collection and analysis Knowledge Decision support Electronic health record Surveillance, Public Health Coding ICD10 - Classification Messaging, HL7 Telecare EHealth MHealth Evidence-Based Practice Ontologies and vocabularies All aiming for better health outcomes
  • 12.
  • 13. October 2012 “The Herald understands staff allegedly accessed the man's medical file and emailed the x-rays. It is understood the incident could lead to court action against those involved.”  What technology is involved and is this a technological issue?
  • 14.  They don’t learn  They can’t tell what you mean  They don’t get bored
  • 15.  Discrete variables  National Health Index – NHI  Name, date of birth, gender, address  Values collected – blood test results  Clinical data - blood pressure, clinical signs, diagnosis, medications Data itself is nothing… Should provide useful, usable information that makes a difference to patient care
  • 16.  Data in context  120/80 means something if you know it is mmHg  However it still doesn’t tell you anything about whether the patient is sick or well.  Need more data to provide context – when taken, other readings, age, medical history, medications
  • 17.  Adds MEANING to information  120/80 is high blood pressure in an infant  May be high relative to other readings in an adult  Relies on expertise to interpret.  Information to knowledge usually done by humans, can see clinical diagnosis as this sort of process…  Can utilise Decision Support Systems
  • 18.  NHS direct…  https://www.nhsdirect.nhs.uk/CheckSympto ms/SATs/GeneralIllness12AndOver
  • 19.  Patients ◦ Self treatment and support  Clinical staff ◦ Support diagnosis and treatment  Administration and funders ◦ Cost Estimation ◦ Management ◦ Resource allocation ◦ Outcomes
  • 20. • What are EHRs? • Examples of EHRs • Issues with EHR
  • 21.  “Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record” – Pubmed  Part of a clinical information system relating to individuals  Records information about a person: ◦ Presenting symptoms ◦ Results of tests and clinical examinations ◦ Encounters with health professionals ◦ Treatment and plans for further management
  • 22. Electronic Health Record Laboratory results Administration Systems Imaging (including PACS) Clinical users Government and provider statistics Other health care providers Etc. Middleware e.g. Web Portal
  • 23. A NZ veterinary practice is advertising online that they offer electronic health records for pets. If your Vet is closed another in the town can see your pet and access their health record and provide care. Why can’t we do this for people too?  What do you think might be the potential benefits of EHRs?  What might be some of the issues for EHRs?
  • 24.  Always available  Legible  Searchable  Sharable  Different views  Audit and decision support  Security
  • 25.  Consistency of data  Free text versus coding  Security – who can access and when  Protecting an individual's privacy  Need a computer  “Fishing expeditions”  Sharing information safely
  • 26.  Orion http://www.orionhealth.com/solutions/packages/electronic- health-record-ehr  Medtech http://www.medtechglobal.com/nz/products/medtech32- nz.html  Microsoft – health vault http://healthvault.com/hvindex.htm?rmproc=true  Personal health records  Web 2.0 Medical records
  • 27. Data collected should be available for:  Supporting clinical intervention  Clinical Governance  Administration (in all parts of health)  Strategy and policy development  Research
  • 28.  Patient (consumer) self-management and self care.
  • 29.  Use data from Electronic Health Record combined with rules  Reminders – eg high blood pressure, protocols  Decision Analysis – need utility values  Alerts  Linking to resources  Recalls-Cervical screening, immunisations  Telehealth
  • 30.  Data to record diagnoses, observations, outcomes. • Coding - Diagnostic related groups (DRGS) ◦ ICD 10 codes ◦ Read codes ◦ Snomed CT  Vocabularies – to standardise terms, shared meanings ◦ Pre-eclampsia, PE, Toxaemia, PET, Gestational Proteinuric Hypertension GPH
  • 31.  International Classification of disease (ICD) currently version 10. http://www.who.int/classifications/icd/en/  World Health Organisation standard http://www.cdc.gov/nchs/about/otheract/icd9/icd10cm.ht m ICD10 Code Description O104.11 Pre-existing secondary hypertension complicating pregnancy, first trimester O104.12 Pre-existing secondary hypertension complicating pregnancy, second trimester O104.13 Pre-existing secondary hypertension complicating pregnancy, third trimester O104.19 Pre-existing secondary hypertension complicating pregnancy, unspecified trimester
  • 32.
  • 34.
  • 35.  Global standard  Hierarchical  Concepts - also link concepts  Synonyms and different languages  >600,000K Concepts  clinical vocabulary administered by international health terminology standards development organisation (IHTSDO) http://www.ihtsdo.org/.  Member countries; Australia, Canada, Denmark, Lithuania, Netherlands, NZ, Sweden, UK & USA
  • 37. Unstructured text Extract SNOMED terms EHR Map to ICD 10 Send/receive messages
  • 38.  Structured Pathology Reporting for Cancer from Free Text: Lung Cancer Case Study  Anthony Nguyen, Michael Lawley, David Hansen, Shoni Colquist  Abstract  . Results: Checklist items were identified in the free text report and used for structured reporting. The synthesised TNM staging values classified by the system were evaluated against explicitly mentioned TNM stages from 487 reports and achieved an overall accuracy of 78%, 89% and 95% for T, N and M stages respectively. Conclusion: A system to generate structured cancer case reports from free-text pathology reports using symbolic rule-based classification techniques was developed and shows promise. The approach can be easily adapted for other cancer case structured reports.  http://research.ict.csiro.au/software/snapper
  • 39.
  • 40.  Communication of information is a key task in health informatics  Communication must be accurate, reliable and timely ◦ Prescriptions (from hospital or GP to Pharmacy) ◦ Referrals (from GP to hospital) ◦ Discharge Summaries (from hospital to GP) ◦ Lab results
  • 41.  Potential architectures  Single Clinical Information system ◦ Everybody accesses own part and gets views of other data.  Centralised model ◦ Requires very large investment ◦ Issues with who “owns” data ◦ Connectivity always needed – robust & 24/7
  • 42.  Independent systems that communicate  Low investment needed  Fewer issues with ownership  Only data that needs to be transferred is sent  BUT ◦ N(n-1) connections ◦ Interface issues ◦ Who looks after it ?
  • 43.  Standard message formats (HL 7 – simple way to format message for safe transmission)  Use VPN, SSL and other encryption to allow use of standard commercial infrastructure  DICOM - A system for transferring images, including X-rays, ultrasound etc. Aims to prevent image information separating from patient data.
  • 44.
  • 45.
  • 46.  Treaty of Waitangi  Professional codes of conduct  Privacy Act & Health Information Privacy Code  Technological solutions: ◦ Audit trails – who looked at the data ◦ Industry-standard security and authentication ◦ Rules for data preservation ◦ Data consistency and cross-checking ◦ Sealed envelopes
  • 47.  Rule 1: Purpose of collection of health information  Rule 2: Source of health information  Rule 3: Collection of health information from individual  Rule 4: Manner of collection of health information  Rule 5: Storage and security of health information  Rule 6: Access to personal health information  Rule 7: Correction of health information  Rule 8: Accuracy etc of health information to be checked before use  Rule 9: Retention of health information  Rule 10: Limits on use of health information  Rule 11: Limits on disclosure of health information  Rule 12: Unique identifiers
  • 48.
  • 49.
  • 50.
  • 51. QUOTE: The past is gone; the future is unknown -- but the present is real, and your opportunities are now. QUESTION: From what you have seen and read list trends that will be more dominant in the future of technology and health care.
  • 52.  International trends include: ◦ Communication technologies ◦ Portability ◦ Digital divide ◦ Changing public ◦ Genomics ◦ Tele-health
  • 53.  What basic information literacy skills should health professionals possess?  Where and how should they get the education for this?  To what extent should health professionals be trained in IT to enable them to work with health information systems?
  • 54.  Professionals in health and IT need the skills that provide for ◦ lifelong learning ◦ career development ◦ critical thinking ability ◦ communication skills ◦ information literacy Follow Up: Personal assessment and plan International Computer Driving License

Notes de l'éditeur

  1. Participants to complete pre workshop survey and also to please note their names and email addresses clearly on the attendance form for certificates.Thanks to hosts Introduce ourselves as the presenters
  2. What this workshop will cover.We will cover a number of concepts during this 2 hour workshop and use a number of diagrams as some people find these easier to follow than just hearing it, or seeing it written.
  3. Either this one – or next 2 slides – hide which ever you don’t want to useEmphasize USE – for patient care/outcomes.
  4. These are a range of definitions:1st – from www.virtualinformatics.com2nd - from Ed Shortliffe – used repeatedly but first coined in 1990 Shortliffe EH, Perreault LE, Wiederhold G, Fagan LM, eds.Medical Informatics: Computer Applications in Health Care.Reading, MA.: Addison-Wesley; 1990.3rd- based on International Medical Informatics Association – Nursing Informatics (IMIA-NI) group definition
  5. The information being presented comes from a range of sources, but those wishing to follow up can look at the internet for:Health Informatics New Zealand (HINZ) – national health informatics groupInternational Medical Informatics Association (IMIA) – international informatics group – NZ is a memberHealth Information Technology Cluster – a collaborative group of NZ companies that develop and work in the health IT area (New Zealand is fortunate to have a number of health IT vendors and “health care” is the largest software export category for NZ) Ministry of Health – government National Health IT Board – government body in the MoH who provide strategy and leadership for health IT
  6. Diagram from National Health IT Board. Board overview of strategy for NZ health IT. But doesn’t show NGOS
  7. Introduced in 2010 with national aims and objectives
  8. Health Informatics is very broad and includes the list above Following slide shows this diagrammatically, and then slide after that shows them as competencies (hide slide 12 if you don’t want to show competencies until the end).
  9. The list shown diagrammatically, and next slide shows these as competencies (hide slide 12 if you don’t want to show competencies until the end).
  10. Divide group up and allow 5- 10 minutes for discussion. Vignette came from ADHB. Change to local incident if you have one. Point is that people made bad judgements. Technology made it easier to spread.
  11. This slide is an introHide this slide if you don’t want to use it. But include intro to Data
  12. Explain what Data is. Give examples – NHIOther examples can change depending on audience.
  13. 120/80 – could be a fraction, or anything.mmHg – lets you know it’s a measure – and therefore tells you it’s a blood pressure.Could use white board and write up 90/50 – could be low BP, child, need to know previous reading, meds etc – ie need context
  14. But how do we standardise availability of expertise…Information well presented – so data readily available; trends easily seenIntroduce Decision Support Systems – acknowledging not available everywhere
  15. Patients – support and self-management – ie especially for long term conditions; knowledge can improve complianceArea of Consumer Health Informatics.Changing role of patients – may bring printout with them for consultation, but need help understanding. Issues of credibility of information they’ve sourced and applicability to NZ and their specific situation.Clinical – Patient Information Systems; Clinical information Systems; Decision Support SystemsAdmin - Patient Management Systems (PMS); etc
  16. Aim – to provide legible, accessible, timely data – what you need, when you need it, where you need it!We need an improvement on the old paper record
  17. Can be for instances of careCan be longitudinal – across time Can be interdisciplinary – probably best when they are….Can include both health professionals and consumers views/wishesBut patient/individual is central.
  18. Diagrammatically shown as … EHR for the individual is central
  19. Use this slide as a summary of what the vignette discussion brings up.
  20. Use this slide as a summary of what the vignette discussion brings up.
  21. Distinguish between EHR – for health professionals and PCHR - Personally Controlled Health Records- In terms of content and purpose
  22. Why we need clinical data – from Ministry of Health
  23. And we’d add a 6th use – for the patient/consumer
  24. Depending on audience you could expand on any of these…
  25. DRGS – used by Ministry of HealthICD10 - New Zealand hospitals use this clinical coding classification developed by the World Health Organization Read Codes – used by ACCSnomed CT - January 2012 eighteen countries are members – including USA, UK, Australia Examples follow – then a bit more detail about SnomedCT
  26. Can hide this slide if coding detail not suitable for audience, or else just show briefly to indicate detail.Could indicate role of Clinical Coders and that Ministry of Health has a web page showing the courses available- http://www.health.govt.nz/nz-health-statistics/classification-and-terminology/using-icd-10-am-achi-and-acs/courses-clinical-coding.
  27. Can hide this slide if coding detail not suitable for audience, or else just show briefly to indicate detail.
  28. Context – means clinical context for the patientSemantics – meaning and definition of termsOntology - In the IT world, an ontology formally represents knowledge as a set of concepts within a domain, and the relationships between pairs of concepts.Observations – objective and subjective data (symptoms, measures etc)Codes – Also mention that rules can be addedDocuments – include images, prescriptions etc
  29. Diagrammatic explanation of use of SNOMED
  30. Example of how SNOMED can be used clinically
  31. Amount of detail provided here will depend on audience
  32. There are Professional, Organisational and Technological aspectsAbove highlights professional and technological more – but organisational responsibility is also important - including tracing and education.Legal/Ethical practice + Sanctions+ Training = Public Confidence
  33. Source – http://privacy.org.nz/information-privacy-principlesThese should be known by those working in the health and health IT sector.Consider audience and focus on 2 or 3 as appropriate – or make 2 slides if audience needs to focus on these more.
  34. Use this slide depending on your time as:Further discussion Things to think about after this workshopHow do these questions relate to you
  35. Technology is here to stay. Not everyone wants to take health informatics further, but everyone in health needs a basic understanding.Consider assessing your own needs and abilities, and for those interested… the next slide about HINZ health informatics competencies, and opportunities for further education.
  36. This workshop was just an introduction... Mention Health Informatics NZ – website www.hinz.org.nz and a group from HINZ have identified these core competencies in health informatics. HAND-OUT about education options available in NZ. *** Participants to complete post workshop survey and check they have added their name of the attendance form for their certificates.THANK YOU to host organisation and key people.Be available to answer questions.