The Transformation of Patient-Clinician Relationships with AI-based Medical Advice

Batia Wiesenfeld Headshot
By Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin Mann, Maurizio Porfiri, Mark Riedl, John-Ross Rizzo, Batia Wiesenfeld
One of the dramatic trends at the intersection of computing and healthcare has been patients' increased access to medical information, ranging from self-tracked physiological data to genetic data, tests, and scans. Increasingly however, patients and clinicians have access to advanced machine learning-based tools for diagnosis, prediction, and recommendation based on large amounts of data, some of it patient-generated. Consequently, just as organizations have had to deal with a "Bring Your Own Device" (BYOD) reality5 in which employees use their personal devices (phones and tablets) for some aspects of their work, a similar reality of "Bring Your Own Algorithm" (BYOA) is emerging in healthcare with its own challenges and support demands. BYOA is changing patient-clinician interactions and the technologies, skills and workflows related to them.

In this Viewpoint, we argue that BYOA is changing the patient-clinician relationship and the nature of expert work in healthcare, and better patient-clinician-information-interpretation relationships can be facilitated with solutions that integrate technological and organizational perspectives.

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Batia Wiesenfeld is the Andre J.L. Koo Professor of Management and Director of the Business & Society Program.