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A Quantitative Framework for Evaluating the Performance of Algorithm-Directed Whole-Population Remote Patient

Jamie Kurtzig1, Ananta Addala1,2, Franziska K Bishop1

  • 1Division of Endocrinology, Department of Pediatrics, Stanford Medicine, 291 Campus Drive, Stanford, CA, 94305, United States, 1 (650) 7211300.

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Summary
This summary is machine-generated.

A new framework quantifies the impact of algorithm-directed care using continuous glucose monitoring (CGM) data. This tool helps clinics track patient outcomes and clinical workload in remote patient monitoring for type 1 diabetes.

Keywords:
chronic diseasecontinuous glucose monitoringprecision medicinequality improvementremote patient monitoringtype 1 diabetes

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Area of Science:

  • Diabetes Technology
  • Health Informatics
  • Clinical Workflow Optimization

Background:

  • Clinics increasingly use continuous glucose monitoring (CGM) data for remote patient monitoring in type 1 diabetes.
  • Existing frameworks lack quantitative measures for algorithm-directed care's impact on patient outcomes and clinical workload.

Purpose of the Study:

  • To develop and operationalize a clinician-facing quantitative framework to track the impact of algorithm-enabled remote patient monitoring.
  • To provide data-driven insights into patient outcomes, clinical workload, and timeliness of care.

Main Methods:

  • Utilized CGM data from the Teamwork, Targets, Technology, and Tight Control (4T) Study (n=268).
  • Developed an interactive dashboard with key performance indicators for clinical workload, glucose management, and care timeliness.
  • Iteratively refined metrics through data analysis and stakeholder engagement.

Main Results:

  • The developed framework facilitated data-driven decision-making for program leadership.
  • Metrics successfully tracked clinical workload, patient glucose management, and timeliness of care.
  • The tool demonstrated reproducibility and operationalization for monitoring algorithm-enabled programs.

Conclusions:

  • The proposed framework offers a vital tool for clinics managing algorithm-enabled remote patient monitoring programs.
  • It supports the tracking of clinical workload, patient outcomes, and care timeliness.
  • This approach is crucial as algorithms play a growing role in directing clinical efforts.