{"id":1167674,"date":"2026-04-03T15:16:55","date_gmt":"2026-04-03T22:16:55","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=1167674"},"modified":"2026-04-03T15:55:48","modified_gmt":"2026-04-03T22:55:48","slug":"not-another-ehr-reimagining-physician-information-needs-with-generative-ai-technology","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/not-another-ehr-reimagining-physician-information-needs-with-generative-ai-technology\/","title":{"rendered":"Not Another EHR: Reimagining Physician Information Needs with Generative AI Technology"},"content":{"rendered":"<p>This position paper explores how generative AI and dynamic user interfaces (UI) can reshape clinicians\u2019 interactions with patient data. Based on interviews with physician technologists, we frame clinical work as an investigative, sensemaking process and argue that dynamic UI enables more adaptive, clinician centered ways to surface and synthesize information in real time. We examine emerging mental models of AI in clinical practice and identify key design considerations around trust, safety, and human\u2013AI collaboration.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This position paper explores how generative AI and dynamic user interfaces (UI) can reshape clinicians\u2019 interactions with patient data. Based on interviews with physician technologists, we frame clinical work as an investigative, sensemaking process and argue that dynamic UI enables more adaptive, clinician centered ways to surface and synthesize information in real time. 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