{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T19:08:48Z","timestamp":1778094528769,"version":"3.51.4"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>This prospective quality improvement study was conducted at Stanford Health Care with 48 physicians over a 3-month period. Outcome measures included burden, burnout, usability, and perceived time savings.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Paired survey analysis (n\u2009=\u200938) revealed large statistically significant reductions in task load (\u221224.42, p &amp;lt;.001) and burnout (\u22121.94, p &amp;lt;.001), and moderate statistically significant improvements in usability scores (+10.9, p &amp;lt;.001). Post-survey responses (n\u2009=\u200946) indicated favorable utility with improved perceptions of efficiency, documentation quality, and ease of use.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion<\/jats:title>\n                  <jats:p>In one of the first pilot implementations of ambient AI scribe technology, improvements in physician task load, burnout, and usability were demonstrated.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Ambient AI scribes like DAX Copilot may enhance clinical workflows. Further research is needed to optimize widespread implementation and evaluate long-term impacts.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocae295","type":"journal-article","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T21:19:47Z","timestamp":1733865587000},"page":"375-380","source":"Crossref","is-referenced-by-count":138,"title":["Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden"],"prefix":"10.1093","volume":"32","author":[{"given":"Shreya J","family":"Shah","sequence":"first","affiliation":[{"name":"Department of Medicine, Stanford University School of Medicine , Stanford, CA 94305,","place":["United States"]},{"name":"Stanford Healthcare AI Applied Research Team, Division of Primary Care and Population Health, Stanford University School of Medicine , Stanford, CA 94305,","place":["United 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