Closing the Loop by Operationalizing Systems Engineering and Design (CLOSED)
Motivation:
Specific Aims :
Aim 1:Use systems engineering and patient engagement to design, develop, and refine a highly reliable “closed loop” system for diagnostic tests and referrals that ensures diagnostic orders and follow-up occur reliably within clinically- and patient-important time-frames.
Aim 2: Use systems engineering and patient engagement to design, develop, and refine a highly reliable “closed loop” system for symptoms that ensures clinicians receive and act on feedback about evolving symptoms and physical findings of concern to patients or clinicians.
Aim 3: Design for generalizability across health systems more broadly so that the processes created in Aims 1 and 2 are effective in (1) a practice in an underserved community, (2) a large tele-medicine system, and (3) a representative range of simulated other health system settings and populations.
Partners:
Sunday, June 2, 2019
Sunday, June 2, 2019
Approach:
Sunday, June 2, 2019
Results to Date:
Decision Support
Testing and Tracing Models
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School and workplace testing model - project abstract
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Model performance of contact tracing
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HSyE Journal Club summary of Hellewell paper
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Test selection (COVID-19 healthcare coalition tool)
Reopening
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Community-x-campus models
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Impact on student and community infections and mortality
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Contact tracing and isolation weekly needs
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Urban university, rural, and small college scenarios
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Full report here
Redesigned Workflows
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Hospital surge policy analysis - project abstract
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Workflow performance of a dedicated primary care COVID clinic (pre-print coming soon)
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Inequity in telehealth diagnostic processes
Clinical Decision Making
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Disease modelling
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Nursing homecare (IHI initiative)
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Vaccine distribution (NAS task force, Marc Lipsitch model)
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Adaptive access to urgent care queues
