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Teaching at the Faculty of Social Sciences and Humanities, Mahidol University on September 7, 2014
Overview of Health Informatics
Overview of Health Informatics
Nawanan Theera-Ampornpunt
Presented at the 7th Healthcare CIO Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand on July 8, 2016
Overview of Health Informatics (Ramathibodi 7th Healthcare CIO)
Overview of Health Informatics (Ramathibodi 7th Healthcare CIO)
Nawanan Theera-Ampornpunt
Presented at the Health Informatics and Health Information Technology Course, Doctor of Philosophy and Master of Science Programs in Data Science for Health Care (International Program), Faculty of Medicine Ramathibodi Hospital, Mahidol University on October 3, 2017
Introduction to Health Informatics and Health Information Technology (Part 1)...
Introduction to Health Informatics and Health Information Technology (Part 1)...
Nawanan Theera-Ampornpunt
Just updated this with video links and RFID info
Health Information Technology & Nursing Informatics
Health Information Technology & Nursing Informatics
Jil Wright
Health informatics: Introduction, History and general presentation
Health informatics: Introduction, History and general presentation
Health informatics: Introduction, History and general presentation
Dr. Khaled OUANES
This presentation addresses *Why do we need access to Health Data and Information? *What are the challenges we have? *What are the possible interventions that can be made so that access becomes easy for patients and doctors?
Access to health data and information – challenges
Access to health data and information – challenges
Dr Venkatesh Karthikeyan
Presented at the M.S. and Ph.D. Programs in Data Science for Health Care, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on November 11, 2019
Public Health informatics, Consumer health informatics, mHealth & PHRs (Novem...
Public Health informatics, Consumer health informatics, mHealth & PHRs (Novem...
Nawanan Theera-Ampornpunt
New Master of Science in Health Informatics degree at The University of Findlay, located in Findlay, Ohio.
Health Informatics
Health Informatics
The University of Findlay
Recommandé
Teaching at the Faculty of Social Sciences and Humanities, Mahidol University on September 7, 2014
Overview of Health Informatics
Overview of Health Informatics
Nawanan Theera-Ampornpunt
Presented at the 7th Healthcare CIO Program, Hospital Administration School, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand on July 8, 2016
Overview of Health Informatics (Ramathibodi 7th Healthcare CIO)
Overview of Health Informatics (Ramathibodi 7th Healthcare CIO)
Nawanan Theera-Ampornpunt
Presented at the Health Informatics and Health Information Technology Course, Doctor of Philosophy and Master of Science Programs in Data Science for Health Care (International Program), Faculty of Medicine Ramathibodi Hospital, Mahidol University on October 3, 2017
Introduction to Health Informatics and Health Information Technology (Part 1)...
Introduction to Health Informatics and Health Information Technology (Part 1)...
Nawanan Theera-Ampornpunt
Just updated this with video links and RFID info
Health Information Technology & Nursing Informatics
Health Information Technology & Nursing Informatics
Jil Wright
Health informatics: Introduction, History and general presentation
Health informatics: Introduction, History and general presentation
Health informatics: Introduction, History and general presentation
Dr. Khaled OUANES
This presentation addresses *Why do we need access to Health Data and Information? *What are the challenges we have? *What are the possible interventions that can be made so that access becomes easy for patients and doctors?
Access to health data and information – challenges
Access to health data and information – challenges
Dr Venkatesh Karthikeyan
Presented at the M.S. and Ph.D. Programs in Data Science for Health Care, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on November 11, 2019
Public Health informatics, Consumer health informatics, mHealth & PHRs (Novem...
Public Health informatics, Consumer health informatics, mHealth & PHRs (Novem...
Nawanan Theera-Ampornpunt
New Master of Science in Health Informatics degree at The University of Findlay, located in Findlay, Ohio.
Health Informatics
Health Informatics
The University of Findlay
Health informatics
Health informatics
Brian Wells, MD, MS, MPH
Overview of Health Informatics (July 2, 2015)
Overview of Health Informatics (July 2, 2015)
Overview of Health Informatics (July 2, 2015)
Nawanan Theera-Ampornpunt
Clinical Decision Support Systems
Clinical Decision Support Systems
pradhasrini
Health Care Analytics Table of Content: What is Healthcare Analytics Objectives of Healthcare Analytics Types of Analytics Source of Data What do Healthcare companies achieve with healthcare analytics Booming technologies in the Healthcare Industries with some of their uses Existing Healthcare analytics tool in the market ----------------------------------------------------------------------- Objectives of Healthcare Analytics The fundamental objective of healthcare analytics is to help people make and execute rational decisions. Data - Driven Analytics in healthcare can help ensure that all decisions are made based on the best possible evidence derived from accurate and verified sources of information. Transparent Healthcare analytics can break down silos based on program, department or even facility by promoting the sharing of accurate, timely and accessible information Verifiable The selected option can be tested and verified, based on the available data and decision-making model, to be as good as or better than other alternatives. Robust Healthcare is a dynamic environment; decisions making models must be robust enough to perform in non-optimal conditions such as missing data, calculation error, failure to consider all available options and other issues. ------------------------------------------------------------------------------- Types of Analytics Descriptive Analytics Uses business Intelligence and data mining to ask: “What has Happened” Diagnostics Analytics Examines data to answer, “Why did it happen ?” Predictive Analytics Uses optimization and simulation to ask: “What should we do” Prescriptive Analytics Uses optimization and simulation to ask: “What should we do” ---------------------------------------------------------------------------------- Sources of Data Human Generated data Web and social media data Machine to Machine data Transaction data Biometric data --------------------------------------------------------------------------------- What do Healthcare companies achieve with healthcare analytics Hospitals Reducing Cost Reducing cost of analytics by building an easy-to-use analytics platform Identifying and preventing anomalies such as fraud Automating external and internal reporting Improving patient outcomes Clinical decision support Pharmacy Randomized clinical trials are expensive to conduct and are not effective at identifying rare events, heterogeneous treatment effects, long-term outcomes. Pharma companies rely on healthcare analytics to identify such relationships. However, inferring causal relations can be difficult as data can be easily misinterpreted to view unrelated factors as inter-dependent.
Health care analytics
Health care analytics
Rohit Bisht
Artificial Intelligence (AI) is shaping and reshaping every industry under the sun. The Healthcare industry is not any exception. In this presentation, I have discussed the basics of AI as well as how it is being used in various branches of the healthcare industry. I presented this topic in my departmental seminar in October 2021 and received appreciation as well as positive feedback in this regard.
AI in Healthcare.pptx
AI in Healthcare.pptx
Dr. Anik Chakraborty
ppt
Health informatic
Health informatic
CenPalmei
Presented at the Faculty of Nursing, Thammasat University, Rangsit Campus on October 21, 2016
ICT in Healthcare
ICT in Healthcare
Nawanan Theera-Ampornpunt
Health Information Management Overview
Health Information Management Overview
Daphnee Fuentevilla
Healthcare information technology
Healthcare information technology
Dr.Vijay Talla
An electronic health record is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings.
components of EHR ppt.pptx
components of EHR ppt.pptx
anjalatchi
computerized physician order enter
Cpoe ppt
Cpoe ppt
miladrahimi7
Health Information Systems
Health Information Systems
Nikhil Agarwal
Clinical decision support systems.for nursing informatics f.o.n
Clinical decision support systems
Clinical decision support systems
AHMED ZINHOM
What is Health Informatics? HI Goals HI stakeholders HI subfields / subspecialties Healthcare trends & HI HI professional environments HI education / training opportunities & degrees HI organizations / journals / meetings / events HI professional certificates HI books
Introduction to Health Informatics
Introduction to Health Informatics
Moustafa Hosni
This presentation was the work of Ileana Lulic and Ivor Kovic. It was presented by Ivor Kovic as a final student assignment at Summerschool Health Informatics: The Role of Informatics in Health Care, held at University of Amsterdam, Academical Medical Center, Amsterdam.
Computer Patient Record
Computer Patient Record
Ivor Kovic
Presented by Dr Dave Parry(1) and Dr Inga Hunter(2) (1) Auckland University of Technology (2) Massey University
An Introduction to Health Informatics
An Introduction to Health Informatics
Health Informatics New Zealand
Presented at the Faculty of Medicine, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand on April 1, 2019
Electronic Health Records (EHRs) & Clinical Decision Support Systems (CDS) (A...
Electronic Health Records (EHRs) & Clinical Decision Support Systems (CDS) (A...
Nawanan Theera-Ampornpunt
MHealth or Mobile Health is an emerging and an innovative of medication in India, by doctors can communicate and treat their patients very conveniently even from far distances.
Mhealth - mobile health
Mhealth - mobile health
Tushar Swami
Clinical Decision Support Systems
Clinical Decision Support Systems
Nawanan Theera-Ampornpunt
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
Health Informatics- Module 1-Chapter 1.pptx
Health Informatics- Module 1-Chapter 1.pptx
Arti Parab Academics
How Business Intelligence (BI) can assist healthcare providers to provide quality care to patients.
Healthcare in BI
Healthcare in BI
Michael Farris
Emr powerpoint for IPM
Emr powerpoint for IPM
Anna Tonnu
Contenu connexe
Tendances
Health informatics
Health informatics
Brian Wells, MD, MS, MPH
Overview of Health Informatics (July 2, 2015)
Overview of Health Informatics (July 2, 2015)
Overview of Health Informatics (July 2, 2015)
Nawanan Theera-Ampornpunt
Clinical Decision Support Systems
Clinical Decision Support Systems
pradhasrini
Health Care Analytics Table of Content: What is Healthcare Analytics Objectives of Healthcare Analytics Types of Analytics Source of Data What do Healthcare companies achieve with healthcare analytics Booming technologies in the Healthcare Industries with some of their uses Existing Healthcare analytics tool in the market ----------------------------------------------------------------------- Objectives of Healthcare Analytics The fundamental objective of healthcare analytics is to help people make and execute rational decisions. Data - Driven Analytics in healthcare can help ensure that all decisions are made based on the best possible evidence derived from accurate and verified sources of information. Transparent Healthcare analytics can break down silos based on program, department or even facility by promoting the sharing of accurate, timely and accessible information Verifiable The selected option can be tested and verified, based on the available data and decision-making model, to be as good as or better than other alternatives. Robust Healthcare is a dynamic environment; decisions making models must be robust enough to perform in non-optimal conditions such as missing data, calculation error, failure to consider all available options and other issues. ------------------------------------------------------------------------------- Types of Analytics Descriptive Analytics Uses business Intelligence and data mining to ask: “What has Happened” Diagnostics Analytics Examines data to answer, “Why did it happen ?” Predictive Analytics Uses optimization and simulation to ask: “What should we do” Prescriptive Analytics Uses optimization and simulation to ask: “What should we do” ---------------------------------------------------------------------------------- Sources of Data Human Generated data Web and social media data Machine to Machine data Transaction data Biometric data --------------------------------------------------------------------------------- What do Healthcare companies achieve with healthcare analytics Hospitals Reducing Cost Reducing cost of analytics by building an easy-to-use analytics platform Identifying and preventing anomalies such as fraud Automating external and internal reporting Improving patient outcomes Clinical decision support Pharmacy Randomized clinical trials are expensive to conduct and are not effective at identifying rare events, heterogeneous treatment effects, long-term outcomes. Pharma companies rely on healthcare analytics to identify such relationships. However, inferring causal relations can be difficult as data can be easily misinterpreted to view unrelated factors as inter-dependent.
Health care analytics
Health care analytics
Rohit Bisht
Artificial Intelligence (AI) is shaping and reshaping every industry under the sun. The Healthcare industry is not any exception. In this presentation, I have discussed the basics of AI as well as how it is being used in various branches of the healthcare industry. I presented this topic in my departmental seminar in October 2021 and received appreciation as well as positive feedback in this regard.
AI in Healthcare.pptx
AI in Healthcare.pptx
Dr. Anik Chakraborty
ppt
Health informatic
Health informatic
CenPalmei
Presented at the Faculty of Nursing, Thammasat University, Rangsit Campus on October 21, 2016
ICT in Healthcare
ICT in Healthcare
Nawanan Theera-Ampornpunt
Health Information Management Overview
Health Information Management Overview
Daphnee Fuentevilla
Healthcare information technology
Healthcare information technology
Dr.Vijay Talla
An electronic health record is the systematized collection of patient and population electronically stored health information in a digital format. These records can be shared across different health care settings.
components of EHR ppt.pptx
components of EHR ppt.pptx
anjalatchi
computerized physician order enter
Cpoe ppt
Cpoe ppt
miladrahimi7
Health Information Systems
Health Information Systems
Nikhil Agarwal
Clinical decision support systems.for nursing informatics f.o.n
Clinical decision support systems
Clinical decision support systems
AHMED ZINHOM
What is Health Informatics? HI Goals HI stakeholders HI subfields / subspecialties Healthcare trends & HI HI professional environments HI education / training opportunities & degrees HI organizations / journals / meetings / events HI professional certificates HI books
Introduction to Health Informatics
Introduction to Health Informatics
Moustafa Hosni
This presentation was the work of Ileana Lulic and Ivor Kovic. It was presented by Ivor Kovic as a final student assignment at Summerschool Health Informatics: The Role of Informatics in Health Care, held at University of Amsterdam, Academical Medical Center, Amsterdam.
Computer Patient Record
Computer Patient Record
Ivor Kovic
Presented by Dr Dave Parry(1) and Dr Inga Hunter(2) (1) Auckland University of Technology (2) Massey University
An Introduction to Health Informatics
An Introduction to Health Informatics
Health Informatics New Zealand
Presented at the Faculty of Medicine, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand on April 1, 2019
Electronic Health Records (EHRs) & Clinical Decision Support Systems (CDS) (A...
Electronic Health Records (EHRs) & Clinical Decision Support Systems (CDS) (A...
Nawanan Theera-Ampornpunt
MHealth or Mobile Health is an emerging and an innovative of medication in India, by doctors can communicate and treat their patients very conveniently even from far distances.
Mhealth - mobile health
Mhealth - mobile health
Tushar Swami
Clinical Decision Support Systems
Clinical Decision Support Systems
Nawanan Theera-Ampornpunt
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
Health Informatics- Module 1-Chapter 1.pptx
Health Informatics- Module 1-Chapter 1.pptx
Arti Parab Academics
Tendances
(20)
Health informatics
Health informatics
Overview of Health Informatics (July 2, 2015)
Overview of Health Informatics (July 2, 2015)
Clinical Decision Support Systems
Clinical Decision Support Systems
Health care analytics
Health care analytics
AI in Healthcare.pptx
AI in Healthcare.pptx
Health informatic
Health informatic
ICT in Healthcare
ICT in Healthcare
Health Information Management Overview
Health Information Management Overview
Healthcare information technology
Healthcare information technology
components of EHR ppt.pptx
components of EHR ppt.pptx
Cpoe ppt
Cpoe ppt
Health Information Systems
Health Information Systems
Clinical decision support systems
Clinical decision support systems
Introduction to Health Informatics
Introduction to Health Informatics
Computer Patient Record
Computer Patient Record
An Introduction to Health Informatics
An Introduction to Health Informatics
Electronic Health Records (EHRs) & Clinical Decision Support Systems (CDS) (A...
Electronic Health Records (EHRs) & Clinical Decision Support Systems (CDS) (A...
Mhealth - mobile health
Mhealth - mobile health
Clinical Decision Support Systems
Clinical Decision Support Systems
Health Informatics- Module 1-Chapter 1.pptx
Health Informatics- Module 1-Chapter 1.pptx
Similaire à Health Informatics
How Business Intelligence (BI) can assist healthcare providers to provide quality care to patients.
Healthcare in BI
Healthcare in BI
Michael Farris
Emr powerpoint for IPM
Emr powerpoint for IPM
Anna Tonnu
Course material
nursing9TT1234.docx
nursing9TT1234.docx
write22
EHR Adoption Barriers
Barriers to Electronic Health Record Adoption
Barriers to Electronic Health Record Adoption
Grace Villareal
Samson Health Informatics
Samson Health Informatics
rasams2
Health Informatics Capstone - Week 1
Hca496.w1.a1.blog entry part i.docx
Hca496.w1.a1.blog entry part i.docx
Lynn Wedin
This is the presentation given to the HL7 Clinical Interoperability Council on Clinical Decision Suppoprt (referenced in the post below), April, 2009.
HL7: Clinical Decision Support
HL7: Clinical Decision Support
Harvard Medical School, Partners Healthcare
HI 201: Electronic Health Records: Issues and Challenges
Electronic health records
Electronic health records
Chan Chan
Electronic Health Records: : An electronic health record (EHR) system is now a standard method of using information technology within the healthcare industry. Smaller clinics and practices that continue to use paper systems need to seriously consider investing in this technology
Electronic Health Records
Electronic Health Records
Adel Khawaji
presentation on EHR
An electronic health record.docx
An electronic health record.docx
TUTH
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
UsmanYakubuMaaruf
This is my power point presentation for nur 307,it is about the electronic medical record,EMR
Emr joyce presentation nur 307
Emr joyce presentation nur 307
governors state university
Running head: MEDICAL TECHNOLOGY 1 MEDICAL TECHNOLOGY 6 Medical Technology Felicia Jones 04/26/2017 Introduction Health Information Technology (HIT) involves the use of a digital format to store, distribute, and analyze health information. HIT is used between doctor-patient communications to improve the patient’s care. The IT professionals working in the HIT are involved in the technical side of managing health information using software and hardware to manage patients’ data. The professionals provide support to the Electronic Health Records (EHRs) management and other professionals to ascertain accurate dissemination of medical records adhering to HIPAA and HITECH rules and regulations (McInnes, 2016). Health and financial benefits of implementing EHR Improved health care and convenience Access to the patients’ records is easy even in remote locations which ease the quality of care in the case of emergencies. Having all the information located at a central place makes decision making easy. Use of EHRs helps different hospitals and laboratories to access a patient’s medical history Improved Patient participation EHRs makes it possible for health professionals to give the patients all their medical evaluations. The providers can provide follow-up information such as web resources and self-care instructions which aid in improving the quality of health care. Improved diagnostics and patient outcomes With an accurate medical history of a patient, the medical professionals can check for any allergies, prior treatments which help during the treatment process. The frequency of medical errors during diagnosis. Qualified EHR checks for problems when a new medication is given to the patient and alerting the doctor in advance in the case of any potential threats. In regard to national disasters where casualties forget their medical history, EHR helps quick retrieval of their history and aid in saving their lives. Time and cost savings Use of EHRs assists in reducing duplication of testing which saves on the cost of conducting laboratory tests. Moreover, the administrative expenses as a result of filling of numerous patients paperwork. As a consequence of the use of EHRs, there is reduced transcription, storage, and chart-pull costs. The use of electronic prescribing reduces medical errors (Goldberg, & Feng, 2012). Cost of implementing and maintaining EHR Setting up an EHR system up and running is quite expensive. Some of the expenses associated with establishing the system are the required hardware and software, installation, training of the IT professionals and ongoing maintenance. There are other costs such as over-time-pay for the providers. Taking a primary care facility with five physicians, the cost of setting up an EHR system is $162,000 and maintenance cost of $ 85,500 within the first year. The IT professionals operating the EHRs needed 611 hours of training whereas each physician require ...
Running head MEDICAL TECHNOLOGY 1MEDICA.docx
Running head MEDICAL TECHNOLOGY 1MEDICA.docx
cowinhelen
At the end of this course, students will be able to • Define medical informatics • Define information management, information technology and informatics • Define concepts of medical informatics • Selecting best techniques to manage a medical informatics project.
Giris basics of biomedical informatics general
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Serkan Turkeli
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...
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course material
In what ways can informatics help health care providers overcome.docx
In what ways can informatics help health care providers overcome.docx
write4
Running Head: SHARING CLINICAL DATA SHARING CLINICAL DATA7 SHARING CLINICAL DATA STUDENT’S NAME: LECTURER: DATE: Introduction Electronic Health Record (EHR) is the computerized storage and sharing of patients’ health information to help in continuous monitoring of the patients’ health (Shickel B., 2017). This is a system developed to enable health clinics share information that can help in providing effective medication to the patients with different kinds of health needs. The data on patients is stored and accessed by the clinics during visits from the patient which will help in care management of the patients. An electronic health record system can be helpful as the information stored consist of medical history of a patient, laboratory tests, treatment plans, immunization dates and various allergies of the patients. This is helpful when the patient visits different clinic health providers where they will not need to explain the situations over and over again. Electronic health record system automates information sharing and reduces the traditional paper work which was tiresome and had a great risk of losing information. With the HER, information on patients is kept in a secure system where only authorized persons can access it. Errors are minimized in provision of health care since the information kept can be more accurate and available at any given time. Wasatch Family Clinic will greatly benefit from this strategy of recording, keeping and sharing of information on patients. The nurses can use the system to easily record the patients’ names, numbers and all other critical information required during scheduling for clinical attendance of any patient. Tracing of the information will be easier compared to using the traditional form of papers in storing information for a patient. Need to share data Information on health status of a patient has to be kept with care and only authorized persons can be able to access them. This helps in building ethical handling of patients’ information which creates their trust on the health care providers (Drazen J., 2015). Wasatch Family Clinic needs to share their health data with the patients for them to understand their health issues. The clinic also needs to share data with other health facilities in order to increase the patient’s safety and a great care. Duplicate registrations will be avoided by sharing data in the different departments of the health care center. A real-time link can be created for the patients from registration, through consultation, testing and final medication. This can save Wasatch family Clinic from traditional paper work which took most time when searching for medical records of a patient at every stage in the clinic. Time can also be saved when the information of the patient is a system shared by the departments of the clinic health center. Wasatch Family Clinic will also benefit economically when the data is shared improving service time and hence reducing.
Running Head SHARING CLINICAL DATASHARING CLINICAL DATA.docx
Running Head SHARING CLINICAL DATASHARING CLINICAL DATA.docx
todd521
Areas of Focus for Next Generation of EHRs
Areas of Focus for Next Generation of EHRs
Amirthavarshini Gunasekaran
Quality and cost improvements require the intelligent use of financial and clinical data coupled with education for multi-disciplinary teams who are driving process improvements. Once a data warehouse is established, healthcare organizations need to set up multi-disciplinary clinical, financial, and IT specialist teams to make the best use of the data. Sometimes, financial involvement is minimized or even excluded for a number of reasons that can turn out to be counterproductive. However, including financial measurements and participation up front can help enhance the recognized value and sustainability of quality improvement or waste reduction efforts. the In this session you will learn keys to success and real-life examples of linking clinical, financial and patient satisfaction data via multi-disciplinary teams that produce impressive results.
The Imperative of Linking Clinical and Financial Data to Improve Outcomes - H...
The Imperative of Linking Clinical and Financial Data to Improve Outcomes - H...
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BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
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Emr joyce presentation nur 307
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