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