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

by   Oded Nov, et al.

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.


page 1

page 2

page 3

page 4


Language models are susceptible to incorrect patient self-diagnosis in medical applications

Large language models (LLMs) are becoming increasingly relevant as a pot...

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

The rapid progress in digitalization and automation have led to an accel...

ACIPS: A Framework for Evaluating Patient Perception in the Introduction of AI-Enabled Healthcare

In healthcare, the role of AI is continually evolving and understanding ...

Graph representation forecasting of patient's medical conditions: towards a digital twin

Objective: Modern medicine needs to shift from a wait and react, curativ...

Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire

Modern medical diagnosis relies on precise pain assessment tools in tran...

When Performance is not Enough – A Multidisciplinary View on Clinical Decision Support

Scientific publications about machine learning in healthcare are often a...

Please sign up or login with your details

Forgot password? Click here to reset