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Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Health Care: Qualitative Study.

Kristin M Kostick-Quenet¹, Meghan E Hurley¹, Syed Ayaz¹

¹Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, United States.

JMIR Mental Health

|January 6, 2026

Summary

Computer perception (CP) technologies offer personalized health care but raise privacy and bias concerns. Personalized road maps are proposed to balance technology with patient-centered care, ensuring ethical implementation.

Keywords:

affective computing artificial intelligence computer perception consent context digital phenotyping ethics humanistic care stakeholder engagement

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Area of Science:

Digital Health
Mental Healthcare Technology
Human-Computer Interaction

Background:

Computer perception (CP) technologies, including digital phenotyping and affective computing, present opportunities for personalized healthcare, particularly in mental health.
However, their implementation raises significant concerns regarding privacy, bias, and the potential erosion of empathic, relationship-centered care.

Purpose of the Study:

To explore diverse stakeholder perspectives on the benefits, risks, and concerns associated with integrating CP technologies into patient care.
To inform the development of design and implementation strategies that support patient-centered and humanistic care outcomes.

Main Methods:

Conducted in-depth, semistructured interviews with 102 stakeholders: patients, caregivers, clinicians, technology developers, and ethics scholars.
Employed thematic analysis on interview transcripts, with reliability enhanced through double coding and consensus adjudication.

Main Results:

Key concerns identified across 7 themes: data privacy (86.3%), technology trustworthiness (70.6%), patient harms (63.7%), and implementation challenges (58.8%).
A critical insight was the importance of context and subjective meaning for clinical validity, with risks of misclassification and dehumanization if ignored.

Conclusions:

Proposed "personalized road maps" as a framework for operationalizing humanistic safeguards in CP deployment.
These co-designed plans aim to align CP with patient autonomy, therapeutic alliance, and ethical transparency through dynamic consent and tailored feedback.