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Enhancing Clinical Efficiency with AI to Prioritize Patient Care, with Ellen Gelles, MD
Gelles discussed AI tools that are becoming a part of clinician’s armamentariums and the impact they are having on the field.
Physician burnout remains a persistent threat to workforce sustainability and patient care—fueled in large part by administrative burden, particularly electronic health record (EHR) documentation. Artificial intelligence (AI) has emerged as a promising solution, offering tools that can reduce time spent on clinical notes, streamline patient communication, and summarize complex charts.
Ellen Gelles, MD, Internal Medicine Physician and Clinical Informaticist at the MetroHealth System and associate professor at Case Western Reserve University, along with Stephen Ma, MD, and Deepti Pandita, MD, participated in a panel at the American College of Physicians (ACP) Internal Medicine (IM) Meeting 2025, held April 3-5, in New Orleans, Louisiana, that focused on how these AI tools can help reduce clinician burden.
“[AI] is going to be one of those super exciting new tools that will help our patients. It's kind of like the GLP1 agonists of health information technologies. It's going to be one of those life changing things - like we finally have a drug to have drugs that help obesity, and we finally have solutions that help physician burden… I can think of just a few things along my road map of practice where that's been the case, and I think this is going to be one of them,” Gelles told HCPLive.
HCPLive sat down with Gelles during the meeting to learn more about some of these helpful AI applications and how they are transforming the field. She outlined some applications that clinicians are beginning to use, including ambient listening, automated message triage, and AI-generated draft responses, that are alleviating the pressure that once kept clinicians tethered to screens instead of patients. She also shared her excitement and positive outlook for AI’s continued use in assisting clincians.
Gelles had no disclosures to report.
