The STREAMLINE Pilot Study on Time Reduction and Efficiency in AI-Mediated Logging for Improved Note-Taking...

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Clinical Documentation

Background:

• Clinical documentation is a time-consuming task for healthcare providers.
• Ambient listening AI tools offer a potential solution to improve documentation efficiency.

Purpose of the Study:

• To evaluate the impact of an ambient listening AI tool, DAX CoPilot, on clinical documentation efficiency.
• To assess efficiency metrics in primary care providers within a community-based setting.

Main Methods:

• A randomized controlled trial was conducted over three months.
• Clinicians were assigned to use DAX CoPilot (N=25) or traditional methods (N=20).
• Documentation efficiency was measured using standard and custom Epic metrics for all and problem-focused visits.

Main Results:

• High-frequency DAX users (≥70% of visits) showed the most significant improvements.
• For problem-focused visits, DAX wrote a median of 50% of note characters among high-frequency users.
• A 1.4-minute decrease in time spent on notes per visit and a 35% decrease in characters per note were observed in this group.

Conclusions:

• DAX CoPilot can enhance documentation efficiency, especially with frequent use.
• Healthcare systems should consider AI tools like DAX, optimizing implementation and note templates.
• Further research is needed to explore implications for burnout and other outcomes.