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Identifying collaborative care teams through electronic medical record utilization patterns.

You Chen1, Nancy M Lorenzi1,2, Warren S Sandberg1,3

  • 1Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.

Journal of the American Medical Informatics Association : JAMIA
|August 30, 2016
PubMed
Summary
This summary is machine-generated.

Automated methods can identify plausible patient care teams using electronic medical record (EMR) data. This approach reveals collaborative patterns for optimizing healthcare delivery in complex medical centers.

Keywords:
collaborative networksdata miningelectronic medical recordshealth care organization modeling

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Area of Science:

  • Health Informatics
  • Computational Medicine
  • Network Science

Background:

  • Identifying effective patient care teams is crucial for optimizing healthcare delivery.
  • Traditional methods for team identification can be resource-intensive and may not capture dynamic collaborations.

Purpose of the Study:

  • To determine if automated approaches can identify patient-oriented care teams using electronic medical record (EMR) system data.
  • To develop and validate a data-mining framework for inferring collaborative team patterns.

Main Methods:

  • A data-mining framework combining latent topic modeling and network analysis was developed.
  • The framework was applied to EMR utilization records of over 10,000 employees and 17,000 inpatients.
  • Inferred teams were evaluated extrinsically through expert surveys and intrinsically via collaboration strength and clinical credibility.

Main Results:

  • The framework identified 34 collaborative care teams, with 79.4% confirmed as administratively plausible.
  • 26 teams demonstrated strong collaborations (cluster coefficient > 0.5).
  • 119 diagnostic conditions were associated with the identified care teams.

Conclusions:

  • Automated inference of collaborative care teams from EMR data is plausible.
  • Translating these patterns into optimized collaborative care requires administrative review and integration with management practices.
  • EMR utilization records offer a valuable resource for mining collaborative care patterns in large medical centers.