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Download A Human-Centered Computing Agenda for Health IT Beth Mynatt
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A Human-Centered Computing Agenda for Health IT Beth Mynatt College of Computing Georgia Institute of Technology Sensing AI Semantic Modeling Image Analysis DATA Natural Language Data Mining Robotics Safety Critical Systems hospital administrators Policy Makers Payers Sensing AI Semantic Modeling Image Analysis DATA caregivers Natural Language Data Mining Patients services Robotics employers Safety Critical Systems Providers SYSTEM hospital administrators Policy Makers Payers Sensing AI Semantic Modeling Image Analysis DATA caregivers Natural Language Data Mining Patients services USERS Robotics employers Safety Critical Systems Providers Overarching Grand Challenge: Cognitive Support RESEARCH PATIENT CARE Transactions Raw data Medical Logic Where Health IT chains us Medical Knowledge Virtual Patient Decision Support Where clinicians want to stay Clinical research transactions Raw research data Workflow modeling and support, usability, cognitive support, computersupported cooperative work (CSCW), etc. Stead WW, Lin HS. 2009. Computational technology for effective health care: immediate steps and strategic directions. Comput Sci and Telecom Board, Nat Res Council. Washington: National Academies Press. Mismatch between Computational Technique & Scale of Problem Automation Connectivity Decision Support Data Mining How would you create a tool that would…. Detect indicators for autism from video records. Create models of surprise for physicians Support collaboration across a distributed care team Provide personalized health coaches Personalized medicine How would you create a tool that would…. Optimize resources across the system Align incentives to pay-for-outcome vs. pay-for-fee Understand health disparity and utilization data Predict overall economic losses due to poor healthcare Drive before buying Why now? Major national investment in basic Health IT, e.g. EMRs and HIEs New avenues for funding US at or near bottom for managing chronic and population health care needs despite massive spending Transforming Healthcare Exponential growth in chronic diseases, esp associated with nutrition Save $80B / yr through improving care of 7 most common chronic diseases
