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Lena Mamykina, Lauren Wilcox, David Vawdrey Daniel Stein, Sarah Collins, Stewin Camargo Matt Fred, George Hripcsak, Steven Feiner A Living Laboratory for Health IT
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Outline Background Innovation Cycle Project Overviews Insights to Share 2
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NewYork-Presbyterian Health Care System (NYP) NYP 2 Academic Medical Centers (Columbia & Cornell) Multiple inpatient and outpatient sites 2,242 patient beds 111,764 discharges annually Ranked among Americas Best Hospitals by U.S.News 3
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Health IT - HCI Engagement 4 Formative studies User-centered design Evaluation studies Prototype Commercial Product FixesFeatures Research and Development DeploymentEvaluation
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Living Laboratory 5 Academic Medical Center ResearchDevelopment Deployment Evaluation Research and Development DeploymentEvaluation
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Computerized Unified Patient Information Device (CUPID) Including cardiology patients and their loved ones as part of the inpatient care team Design and development of bedside technology facilitating patient views into the EHR, medications, care team info 6
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Computerized Unified Patient Information Device (CUPID) 7
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Medication Reconciliation Achieving effective medication reconciliation across care settings 8
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We implemented an electronic process using our commercial EHR and improved documentation of medication reconciliation at hospital admission (forthcoming paper) 9 Medication Reconciliation
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Next-Generation Electronic Documentation Improving electronic documentation tools and assessing their use SmartPaste 10
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Next-Generation Electronic Documentation Improving electronic documentation tools and assessing their use activeNotes 11
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Task management Supporting collaborative management of tasks and interdisciplinary patient care goals 12
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Push notification 13
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Design Challenges/Opportunities Ongoing access to domain experts Balancing innovation and familiarity Technological ecosystem 14
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Implementation Challenges Integration with outdates or proprietary technology Conforming to standards Protective overall ecosystem 15
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Evaluation Challenges/Opportunities Possibility to study long-term adoption Complex study designs Evaluation metrics 16
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T H A N K Y O U ! 17
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