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.
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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.
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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:
Research >> Surgical Site Infection Reduction >> SSI Simulation
SSI Simulation
About
Shewhart p-charts are one of the most common SPC methods, and the prototypical chart for binary attribute data. It is typically rare for other types of charts to be applied to this type of data, especially in the healthcare setting. However, extensive SPC optimization work conducted by HSyE indicated that, after appropriate data processing, exponentially weighted moving average (EWMA) and moving average (MA) charts substantially outperformed p-charts in the detection of surgical site infections (SSIs). EWMA and MA charts detect smaller changes faster than p-charts, which is an important characteristic for early detection of SSI outbreaks. Additionally, more sophisticated SPC methods that use rolling baselines and lags can substantially impact performance.
Aim
To develop a Monte Carlo simulation of moving window and lag sizes to determine the impact of these design parameters on SPC chart performance.
Partners and ResearchTeam
From the Healthcare Systems Engineering Institute:
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Postdoctoral Fellow: Iulian Ilies, PhD
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Undergraduate Students: Nathan Holler, Erin Joyce, Adam Schleis
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Project Manager: Margo Jacobsen
Results
Results are pending the completion of the project.