The U.S. healthcare system has officially entered the era of artificial intelligence (AI). Organizations, practitioners, and patients are no longer merely trying on a new fad, they are operationalizing the tool.
Consider these findings from KFF: about one-third of U.S. adults have used AI to find health information. More than 40% of health AI users say they have uploaded personal medical information into an AI tool.
In doctor's offices and hospitals, AI is used to write notes, triage messages, predict readmissions, summarize charts, suggest differential diagnoses, and even to make prescription decisions that, previously, a physician would have made. Ambient clinical intelligence has reduced the documentation burden and, in many cases, is improving the clinician experience.
While AI has the potential to improve patient outcomes, enhance healthcare access, reduce overall healthcare costs, and address clinician burnout, the industry also needs to ask some difficult questions about AI adoption. This applies not only to clinical settings, but also to insurance companies.
How Health Insurers Are Using AI
