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IOM Report: Health IT and Patient Safety

Medical Informatics: Opportunities for Improving Patient Care Ben Shneiderman ben@cs.umd.edu @ benbendc Founding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies.

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IOM Report: Health IT and Patient Safety

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  1. Medical Informatics:Opportunities for Improving Patient CareBen Shneiderman ben@cs.umd.edu @benbendcFounding Director (1983-2000), Human-Computer Interaction LabProfessor, Department of Computer ScienceMember, Institute for Advanced Computer Studies

  2. IOM Report: Health IT and Patient Safety Problem - Poorly designed health IT can create new hazards in the already complex delivery of care. - Dosing errors, failure to detect life-threatening illnesses& delaying treatment due to poor HCI or loss of data have led to serious injury & death. Recommendations: - User-centered design & human factors applied to health IT www.iom.edu/Reports/2011/Health-IT-and-Patient-Safety-Building-Safer-Systems-for-Better-Care.aspx

  3. Strategic Health IT Advanced Research Projects (SHARP):Office of National Coordinator - Security of Health Information Technology - Patient-Centered Cognitive Support - Healthcare Application and Network Platform Architectures - Secondary Use of EHR Data Sharpc.org www.cs.umd.edu/hcil/sharp

  4. HCIL’s Research Initiatives Medical Lab Tests - Tracking Completion in Complex Workflows - Guidelines for Design of Tables & Actions - Retrospective Analysis Medication Reconciliation Patient Histories – Analysis & Search - Temporal Event Sequences - Point & Interval Events Wrong Patient Errors (BONUS)

  5. Medical Lab Tests Tracking Sharpc.org www.cs.umd.edu/hcil/sharp

  6. Medical Lab Tests Tracking & Retrospective Analysis www.cs.umd.edu/hcil/sharp

  7. Medication Reconciliation: Current Form Univ of Maryland HCIL tasks - Missing Laboratory Reports - Medication Reconciliation - Alarms and Alerts Management www.cs.umd.edu/hcil/sharp www.youtube.com/watch?v=ZGf1EiuIIIM

  8. Prototype by Tiffany ChaoVIDEO AVAILABLE AT www.cs.umd.edu/hcil/sharp Prototype by Tiffany Chao VIDEO: www.cs.umd.edu/hcil/sharp

  9. Prototype by Tiffany Chao VIDEO: www.cs.umd.edu/hcil/sharp

  10. Successful adoption efforts Example # 1: Twinlist running on Microsoft Amalga Platform Contact: Hank Rappaport Example #2: Twinlistadapted for problem list reconciliation in cancer risk assessment(Hughes riskApps™ - an EHR module) Contact: Kevin S. Hughes, Massachusetts General Hospital

  11. Patient Histories: LifeLines www.cs.umd.edu/hcil/lifelines2

  12. Patient Histories: LifeLines2 www.cs.umd.edu/hcil/lifelines2

  13. Patient Histories: LifeFlow www.cs.umd.edu/hcil/lifeflow

  14. Patient Histories: EventFlow www.cs.umd.edu/hcil/eventflow

  15. Patient Histories: PairFinder www.cs.umd.edu/hcil/pairfinder

  16. Temporal Event Sequences www.cs.umd.edu/hcil/lifelines2 /eventflow /pairfinder

  17. Reducing Wrong Patient Errors: Animated Transitions & Photos BONUS

  18. Reducing Wrong Patient Errors: Animated Transitions & Photos

  19. Reducing Wrong Patient Errors: Animated Transitions & Photos

  20. Reducing Wrong Patient Errors: Animated Transitions & Photos 63% 43% 36% 7% Photo Animation Control Combined The combination of animation & photo resulted in a significant increase in error recognition rate relative to the control & animation groups  Dramatic implications for commercial systems (Taieb-Maimon, Plaisant & Shneiderman, 2012)

  21. Take Away Messages Healthcare is fertile area for HCI & InfoVisPatient Safety is a national priorityWe have tools for analysts Tomorrow: Workshop on EHR Informatics Thanks to: Oracle Corporation NIH/National Cancer Institute grant RC1-CA147489, SHARP grant 10510592 – Office of National Coordinator www.cs.umd.edu/hcil/sharp www.cs.umd.edu/hcil/lifeflow /eventflow /pairfinder

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