JMIR Publications

ABSTRACT

Background:

Artificial Intelligence (AI) is transforming healthcare by streamlining clinical documentation and enhancing physician workflow. AI-powered systems, such as CarePilot, have the potential to reduce administrative burdens and mitigate physician burnout by automating tasks like transcribing patient encounters and predicting medical coding.

Objective:

This study evaluated the experiences of medical students using the CarePilot system during a simulated clinical encounter, thereby providing insights into its usability and potential impact on clinical documentation practices.

Methods:

In this cross-sectional study conducted at the Burnett School of Medicine at Texas Christian University, 44 third- and fourth-year medical students participated in a standardized simulation featuring a patient with a chief complaint of headache. Participants were tasked with recording patient history, physical examination findings, clinical reasoning, and management decisions using CarePilot, which was configured to emulate a typical electronic health record workflow. Following the encounter, each participant completed a 27-question electronic survey based on a Likert scale, designed to assess aspects such as ease of use, documentation efficiency, and overall system functionality.

Results:

Survey results revealed that over 75% of respondents rated key features—including ease of use, learnability, interface likability, and documentation organization—positively. However, approximately 30% of participants expressed neutral or dissatisfied opinions regarding overall satisfaction, citing workflow disturbances and limitations in functionalities that could impact patient interaction time.

Conclusions:

These findings suggest that while CarePilot is generally effective and user-friendly, targeted refinements in workflow integration and feature set are needed to further optimize its clinical application and support improved physician-patient engagement.