SHM Converge Scientific Abstract ePoster Gallery-Utilizing Voice Recognition to Improve Practice Efficiency and Reduce Burnout

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This 18-month pilot study examined whether voice recognition (VR) software could reduce documentation burden and burnout among 34 hospitalists across three Mount Sinai hospitals. Using the M*Modal Fluency Direct system, the team evaluated adoption and impact through surveys on task load, burnout, system usability, and focus groups.<br /><br />VR was used for 4,845 notes overall, but adoption was uneven: about half of participants did not use it at all. Among users, 88% moderately or strongly agreed that VR improved productivity and note-writing efficiency, and 81% felt it reduced after-hours charting. Prior experience with VR was associated with better perceived note-writing efficiency. There was also a statistically significant improvement in perceived burnout after three months of use (p = 0.02).<br /><br />Use varied by note type, with higher adoption for discharge summaries and progress notes than for other note categories. Challenges to implementation included a learning curve, difficulty dictating in shared spaces, and limited software availability only at designated workstations.<br /><br />Overall, the study found that VR is feasible in hospital medicine and can reduce EHR burden and clinician burnout for those who adopt it successfully. The authors conclude that VR may be transformative for documentation efficiency, comprehensiveness, and ease of use.

Asset Subtitle

Krishna Chokshi

Meta Tag

Author List Andrew Dunn, Anne S. Linker, Beth Raucher, Krishna Chokshi, Patricia Dharapak, Sawant S. Ashwin MD, Vinh-Tung Nguyen

Category Innovations

Concept Voice Recognition Software

Concept Documentation efficiency

Concept Electronic Health Record

Concept Hospitalist

Concept Hospital Medicine

Distinguished Non-Finalist

Presenter Organization Mount Sinai

Presenting Author Krishna Chokshi

Track Technology in Hospital Medicine

Keywords

voice recognition

documentation burden

clinician burnout

hospitalists

electronic health record

note writing efficiency

adoption

usability

discharge summaries

pilot study

Voice Recognition Software

Documentation efficiency

Electronic Health Record

Hospitalist

Hospital Medicine