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Population measurement for health systems.

Bruce R Schatz1

  • 1Department of Medical Information Science, Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, IL 61801 USA.

NPJ Digital Medicine
|July 16, 2019
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Summary

Digital medicine enhances health systems through continuous population measurement, enabling better case finding, risk stratification, and care routing for improved chronic disease management.

Keywords:
DiagnosisHealth servicesRespiratory tract diseasesRisk factorsSigns and symptoms

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Area of Science:

  • Digital Health
  • Health Systems Science
  • Population Health Management

Background:

  • Health systems face challenges in efficiently managing patient populations.
  • Digital medicine offers potential solutions for optimizing healthcare delivery.

Purpose of the Study:

  • To explore how health systems can leverage digital medicine for improved patient management.
  • To identify key applications of digital medicine in addressing health system challenges.

Main Methods:

  • Continuous monitoring of vital signs using passive digital devices, particularly mobile phones.
  • Utilizing population measurement data as input for predictive analytics.
  • Analyzing the application of digital medicine in case finding, risk stratification, and care routing.

Main Results:

  • Continuous monitoring enables effective tracking of gradual health status changes in chronic care.
  • Digital medicine facilitates population measurement for cohort clustering and stratification.
  • Predictive analytics identify clinical values for timely intervention within health systems.

Conclusions:

  • Digital medicine, through continuous passive monitoring and population measurement, can transform health systems.
  • This approach supports efficient case finding, risk stratification, and care routing across diverse populations and settings.
  • Implementation of digital medicine can lead to viable healthcare at acceptable quality and affordable cost.