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The Intersection of ICT and Health Informatics Research
 

The Intersection of ICT and Health Informatics Research

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Theera-Ampornpunt N. The intersection of ICT and health informatics research. Presented at: Faculty of ICT, Mahidol University; 2012 Feb 24; Bangkok, Thailand.

Theera-Ampornpunt N. The intersection of ICT and health informatics research. Presented at: Faculty of ICT, Mahidol University; 2012 Feb 24; Bangkok, Thailand.

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    The Intersection of ICT and Health Informatics Research The Intersection of ICT and Health Informatics Research Presentation Transcript

    • The Intersection of ICT and Health Informatics Research February 24, 2012Nawanan Theera-Ampornpunt, MD, PhD
    • A Few Words About Me...2003 Doctor of Medicine (1st-Class Honors) Ramathibodi2009 M.S. (Health Informatics) University of Minnesota2012 Ph.D. (Health Informatics) University of MinnesotaCurrently• Medical Systems Analyst, Health Informatics Division,Faculty of Medicine Ramathibodi Hospital• Chair-Elect, Student Working Groups, American MedicalInformatics Association SlideShare.net/Nawanan www.tc.umn.edu/~theer002 groups.google.com/group/ThaiHealthIT
    • Outline• What Is Informatics?• Informatics vs. ICT• Some Research Areas in Informatics• The Road Ahead
    • Biomedical & Health Informatics• “[T]he field that is concerned with the optimal use of information, often aided by the use of technology, to improve individual health, health care, public health, and biomedical research” (Hersh, 2009)• “[T]he application of the science of information as data plus meaning to problems of biomedical interest” (Bernstam et al, 2010)
    • DIKW Pyramid Wisdom Knowledge Information Data
    • DIKW Pyramid Wisdom KnowledgeKnowledge ManagementInformation Informatics Data ICT
    • Task-Oriented View of Informatics Collection Processing Utilization Communication Storage /Dissemination/ Presentation
    • Informatics As A Field Shortliffe (2002)
    • Public Health Informatics Hersh (2009)
    • Informatics and Other Fields Social Sciences Statistics & (Psychology, Sociology, Research Linguistics, Methods Cognitive & Law & Ethics) Medical Decision Sciences & Science Public Health Engineering Management LibraryComputer & Biomedical/ Science,Information Health Information Science Informatics Retrieval, KM And More!
    • Why Informatics ≠ ICT People Techno- Process logy
    • Why Informatics ≠ ICTInformaticsInformation & Communications T echnology
    • Why We Need Informatics in Health Care?
    • Why We Need Informatics in Health Care?#1. Because information iseverywhere in health care
    • Manufacturing Source: Guardian.co.uk
    • Banking Source: Cablephet.com
    • Health care Source: nj.com
    • Why Healthcare Isn’t Like Any Others? • Life-or-Death • Many & varied stakeholders • Strong professional values • Evolving standards of care • Fragmented, poorly-coordinated systems • Large, ever-growing & changing body of knowledge • High volume, low resources, little time Source: nj.com
    • Why Healthcare Isn’t Like Any Others?• Large variations & contextual dependence Input Process Output Patient Decision- Biological Presentation Making Responses Source: nj.com
    • Why We Need Informatics in Health Care?#2. Because health care is complex and difficult to automate
    • Why Adopting Health IT?“Go paperless” “Computerize” “Get a HIS” “Digital Hospital”“Have EMRs” “Modernize” “Share data”
    • Some Quotes• “Don’t implement technology just for technology’s sake.”• “Don’t make use of excellent technology. Make excellent use of technology.” (Tangwongsan, Supachai. Personal communication, 2005.)• “Health care IT is not a panacea for all that ails medicine.” (Hersh, 2004)• “We worry, however, that [electronic records] are being touted as a panacea for nearly all the ills of modern medicine.” (Hartzband & Groopman, 2008)
    • Health IT: What’s In A Word?Health  GoalInformation Value-AddTechnology Tools
    • Why We Need Informatics in Health Care? #3. Because unlike other industries, the goal is HEALTH
    • To Err Is Human• Perception errors Source: interaction-dynamics.com
    • To Err Is Human• Lack of Attention Source: aafp.org
    • To Err Is Human• Cognitive Errors - Example: Decoy Pricing # ofThe Economist Purchase Options People• Economist.com subscription $59 16• Print subscription $125 0• Print & web subscription $125 84 # ofThe Economist Purchase Options People• Economist.com subscription $59 68 32 Ariely (2008)• Print & web subscription $125
    • Clinical Decision Support Systems (CDSSs) PATIENT Perception CLINICIAN Attention Long Term Memory External Memory Working Memory Knowledge Data Knowledge Data Inference DECISION From a teaching slide by Don Connelly, 2006
    • Clinical Decision Support Systems (CDSSs) PATIENT Perception CLINICIAN Abnormal Attention lab highlights Long Term Memory External Memory Working Memory Knowledge Data Knowledge Data Inference DECISION
    • Clinical Decision Support Systems (CDSSs) PATIENT Perception CLINICIAN Drug- Attention Allergy Checks Long Term Memory External Memory Working Memory Knowledge Data Knowledge Data Inference DECISION
    • Clinical Decision Support Systems (CDSSs) PATIENT Drug-Drug Perception Interaction CLINICIAN Checks Attention Long Term Memory External Memory Working Memory Knowledge Data Knowledge Data Inference DECISION
    • Clinical Decision Support Systems (CDSSs)• CDSS as a replacement or supplement of clinicians? – The demise of the “Greek Oracle” model (Miller & Masarie, 1990) The “Greek Oracle” Model The “Fundamental Theorem” Friedman (2009)
    • Why We Need Informatics in Health Care?#4. Because health care iserror-prone and technology can help
    • Some Research Areas in Informatics
    • Research Agenda for Thailand’s Informatics http://www.slideshare.net/nawanan/research- topics-for-informatics-in-the-context-of-thailand
    • Health IT Adoption & Use:Underlying Assumption ICT’s Focus Informatics FocusSystemsAnalysis, Adoption Use OutcomesDesign & Coding
    • Underlying Assumption • Better clinical outcomes • Improved patient satisfaction Individual • More provider productivity/satisfaction Adoption & use • Improved operational efficiency • More patients Organizational • Reduced costs/increased revenues Adoption & Use • Better individual health/quality of life • Better population health Societal • Long-term cost savings Adoption & Use
    • Areas of IT Adoption Research Adoption Use Outcomes• Describe the state of • Describe the state of • Determine if/when IT adoption in a specific health IT use in a adoption & use will lead setting specific setting to better outcomes (+ what outcomes?)• Compare adoption in 2 • Compare use in 2 settings settings • Compare impacts of same health IT in• Identify facilitators and • Identify facilitators and different settings barriers of IT adoption barriers of IT use • Reveal • Determine if/when mechanisms/pathways adoption will lead to use that translate adoption & use to outcomes
    • Example of Health IT Adoption Studies
    • Adoption Studies: Descriptive Aspect Unpublished contents on this slide were removed. Please contact the speaker at ranta@mahidol.ac.th for more information.
    • Adoption Studies: Theoretical Aspect Unpublished contents on this slide were removed. Please contact the speaker at ranta@mahidol.ac.th for more information.
    • Evaluation Studies of Health IT: Benefits of Health IT Kaushal et al. (2003)
    • Risks of Health IT• Alert fatigue
    • Workarounds
    • Evaluation Studies of Health IT: Risks of Health IT Koppel et al. (2005)
    • Evaluation Studies of Health IT: Risks of Health IT Han et al. (2005)
    • Evaluation Studies of Health IT: Risks of Health IT Ash et al. (2004)
    • Public Health Informatics Yasnoff et al. (2001)
    • Consumer Health Informatics Kaelber et al. (2008)
    • The Road Ahead for ICT & Informatics
    • IBM’s Watson Image Source: socialmediab2b.com
    • Rise of the Machines? Image Source: englishmoviez.com
    • Data Mining in Health Care Image Source: Dr. Kumar @ UMN
    • mHealth & Social Media
    • ICT in Emergencies & Disasters http://www.kromchol.com/
    • ICT in Emergencies & Disasters http://dds.bangkok.go.th/Canal/
    • ICT in Emergencies & Disasters http://www.thaiflood.com
    • ICT in Emergencies & Disasters http://www.youtube.com/user/roosuflood
    • ICT in Emergencies & Disasters https://www.facebook.com/groups/mophwarroomcoordination/
    • Biosurveillance
    • Google Flu Trends (Biosurveillance) Source: Google.org/FluTrends
    • Other Intersecting Areas• Natural Language Processing (NLP)• Knowledge Representation & Semantics• Standards, Vocabularies, Ontologies• Bioinformatics• Telemedicine/Telehealth, Bio-sensing• Information Retrieval• Ethical, Legal & Social Issues (ELSI) Image Source: Dr. Kumar @ UMN
    • What Will The Future Be for Health Care? HAL 9000 Data David NS-5 Intelligent & Machines with a Machines that Dangerous helpful human touch replace humanskiller machines machines
    • Let’s Shape the Future Together!