Longevity & Healthy Aging Research Consortium
Longevity & Healthy Aging Research Center
Ruth O’Hara, Helena Kraemer, Jerome Yesavage,
Jean Thompson, Art Noda, Wendy Thanassi, Beatriz Hernandez, Joy Taylor, Jared Tinklenberg
Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Sierra Pacific MIRECC Veterans Affairs Palo Alto Health Care System
How to use the ROC Program:
Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD
Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).