Unknown

Dataset Information

Development and usability testing of a patient digital twin for critical care education: a mixed methods study.


ABSTRACT:

Background

Digital twins are computerized patient replicas that allow clinical interventions testing in silico to minimize preventable patient harm. Our group has developed a novel application software utilizing a digital twin patient model based on electronic health record (EHR) variables to simulate clinical trajectories during the initial 6 h of critical illness. This study aimed to assess the usability, workload, and acceptance of the digital twin application as an educational tool in critical care.

Methods

A mixed methods study was conducted during seven user testing sessions of the digital twin application with thirty-five first-year internal medicine residents. Qualitative data were collected using a think-aloud and semi-structured interview format, while quant

SUBMITTER: Rovati L 

PROVIDER: S-EPMC10808677 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature