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One of the dramatic trends at the intersection of computing and healthcarehas been patients' increased access to medical information, ranging fromself-tracked physiological data to genetic data, tests, and scans. Increasinglyhowever, patients and clinicians have access to advanced machine learning-basedtools for diagnosis, prediction, and recommendation based on large amounts ofdata, some of it patient-generated. Consequently, just as organizations havehad to deal with a "Bring Your Own Device" (BYOD) reality in which employeesuse their personal devices (phones and tablets) for some aspects of their work,a similar reality of "Bring Your Own Algorithm" (BYOA) is emerging inhealthcare with its own challenges and support demands. BYOA is changingpatient-clinician interactions and the technologies, skills and workflowsrelated to them. In this paper we argue that: (1) BYOA is changing thepatient-clinician relationship and the nature of expert work in healthcare, and(2) better patient-clinician-information-interpretation relationships can befacilitated with solutions that integrate technological and organizationalperspectives.

The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare