Healthcare providers say AI helps them focus on patients. But it also raises questions about privacy, security and the role of humans in medicine

Centra Health and Carilion Clinic in Virginia have adopted AI-powered digital scribes to automate clinical note-taking, allowing providers to focus more on patients and reducing after-hours documentation work. However, concerns about data security, patient privacy, and the evolving role of human professionals in medicine remain as AI adoption grows, according to healthcare leaders and experts.
Centra Health, a healthcare provider based in Lynchburg, Virginia, began using an AI-powered ambient digital scribe in July to automate clinical note-taking during patient visits. The software, installed on providers’ phones, listens to conversations and generates complete clinical notes shortly after appointments end, filtering out non-clinical topics. Robbie Price, a nurse practitioner and director of advanced practice provider operations at Centra, described the tool as transformational, shifting providers from note creators to editors and freeing up time for patient interaction. Carilion Clinic, based in Roanoke, Virginia, integrated similar AI documentation tools in 2023, expanding their use across care teams. Dr. Maruf Haider, associate chief medical information officer at Carilion, noted that the technology helps clinicians recall details more accurately and produces more thorough notes. Patients can also view notes during appointments if they choose. The tools reduce the time providers spend on documentation after hours, addressing clinician burnout. AI adoption in healthcare is accelerating, with 81% of physicians using AI for tasks like medical research, patient communication, and visit documentation, according to a 2026 American Medical Association survey. Beth Bortz, president and CEO of the Virginia Center for Health Innovation, highlighted AI’s potential to improve efficiency and reduce administrative burdens. However, concerns persist about data security and patient privacy, particularly regarding third-party vendors managing sensitive health information. Dr. Maxim Topaz, an AI researcher at Columbia School of Nursing, warned that AI accuracy varies widely and legal frameworks lag behind adoption, potentially limiting transparency. Gurkan Akalin, executive director of the University of Virginia’s Institute for Applied Data Analytics, emphasized the need for strong cybersecurity practices among vendors handling patient data. Younger patients, in particular, express hesitation about how their personal information is stored and used. Despite these challenges, healthcare leaders largely view AI as a positive development. The technology not only streamlines workflows but also supports clinicians in delivering more focused care. Yet, balancing innovation with ethical and security considerations remains critical as AI reshapes the future of medicine.
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