  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) reality 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 paper we argue that: (1) BYOA is changing the
patient-clinician relationship and the nature of expert work in healthcare, and
(2) better patient-clinician-information-interpretation relationships can be
facilitated with solutions that integrate technological and organizational
perspectives.
