An electronic health record metadata-mining approach to identifying patient-level interprofessional clinician teams in the intensive care unit.

ABSTRACT:

Objectives

Advances in health informatics rapidly expanded use of big-data analytics and electronic health records (EHR) by clinical researchers seeking to optimize interprofessional ICU team care. This study developed and validated a program for extracting interprofessional teams assigned to each patient each shift from EHR event logs.

Materials and methods

A retrospective analysis of EHR event logs for mechanically-ventilated patients 18 and older from 5 ICUs in an academic medical center during 1/1/2018-12/31/2019. We defined interprofessional teams as all medical providers (physicians, physician assistants, and nurse practitioners), registered nurses, and respiratory therapists assigned to each patient each shift. We created an EHR event logs-mining program that extracts

SUBMITTER: Yakusheva O 

PROVIDER: S-EPMC11833494 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature