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
Sunday, June 2, 2019
Approach:
Results to Date:
Epidemic Models - United States
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Interpretation
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Dots are historical data on new and cumulative cases
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Color coded by date
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Lines are 30-day ahead predictions (corresponding color coding)
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Points consistently tracking along lines indicate natural epidemic behavior, and vice versa
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Greater scattering + variability of consecutive lines indicates greater unpredictability and less consistency in epidemic behavior
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Red markers indicate statistically significant epidemic changes (Upward triangles: rate increases; Downward triangles: rate decreases; Squares: variance increases)