Measuring the Return on Investment for Clinician-Facing Artificial Intelligence Technologies
Eran Tal-Or•AI•JAMA
Artificial intelligence (AI) is proliferating, and many clinician-facing AI technologies are being adopted in health care. Examples of these include AI-powered scribes, AI-drafted replies to patients’ electronic health record (EHR) messages, AI electronic medical record summarization, AI tools that read radiographs, and AI-enabled clinical decision support tools. Important aims of these technologies include decreasing administrative burdens, improving clinician workflows, and enhancing clinician decision-making.