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:
COVID-19 Modeling and Analytics Team
James Benneyan, PhD, team lead. Please use and distribute freely any content on this page.
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Estimates 1-30 day MedSurg, ICU, and ventilator demand
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Two versions: Simple (no macros), advanced (macro-enabled)
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Agent-based, differential equation, and statistical models
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Country, state, and regional one-month ahead trends
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Statistical signals of pattern changes
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Workplace and school re-opening impacts
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Testing and tracing effectiveness models
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Revised hospital workflows
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Simple through advanced methods (SPC, Scan, growth, change points)
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Detect increases, decreases, inflection points, patterns
Several great models and data sources have been developed by others:
About HSyE Institute
HSyE is a systems engineering institute focused on improving healthcare through research, application, and education via grants, industry partnerships, and learning programs. Please visit www.hsye.org for more information.