Evaluating the Impact of Ambient AI on Documentation Efficiency and Clinician Burnout in Primary Care Settings

This pilot study aims to evaluate the effectiveness of an ambient listening AI product in improving clinical documentation efficiency and patient satisfaction, reducing clinician burnout in primary care settings, and improving operational implementation strategies by harnessing end-user psychology. Employing a randomized, prospective design, the study involved 25 clinicians who were given an ambient listening AI product (DAX CoPilot) after a 1 month baseline period and asked to use it for clinical documentation with a focus on problem-focused visits over a 3-month period, with a control group of 20 clinicians continuing traditional documentation methods. The primary outcomes include changes in documentation efficiency (measured through metrics such as time spent on documentation per patient) and clinician burnout (assessed using the validated Mini-Z 2.0 burnout inventory). Secondary outcomes involve patient satisfaction with clinicians' use of the AI tool and examining end-user technology acceptance among clinicians using a survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The study aims to provide insights into the potential of AI-assisted documentation tools in enhancing clinical workflow and addressing the growing concern of clinician burnout.