Understanding Perspectives of Patients, Caregivers and Clinicians towards Emerging Collaborative-decision Making Technologies

2026-05-20

AI Summary

This study addresses the frequent lack of effective collaboration among patients, caregivers, and clinicians in pediatric medical decision-making, which often undermines clinical outcomes. Through qualitative inquiry, it explores stakeholders’ perceptions of collaborative decision-support technologies—including interactive dashboards, virtual reality simulators, and AI-powered voice assistants—and reveals significant intergroup differences in trust toward these systems. The findings indicate that technology acceptance is strongly mediated by users’ levels of trust, underscoring the necessity of proactively embedding tailored trust-building mechanisms into system design. By elucidating how trust influences engagement with decision-support tools, this work offers critical design principles and practical guidance for developing intelligent systems that effectively facilitate multi-stakeholder collaboration in pediatric care contexts.

Abstract

In pediatrics, patients, caregivers, and clinicians share responsibility for health decisions, but limited collaboration can undermine outcomes. We conducted a qualitative study examining decision-makers perceptions toward collaborative decision-making technologies, including interactive dashboards, VR simulators, and AI voice assistants. Findings reveal differences in user opinions across groups and indicate technology acceptance is linked to users trust of these technologies. Technology developers and researchers need to explore design and implementation strategies that build and facilitate trust or appropriate distrust between users and these novel technologies before these tools can effectively support collaborative decision-making.

Problem

• collaborative decision-making
• trust
• pediatrics
• health technologies
• user perspectives

Innovation

• collaborative decision-making
• trust in technology
• qualitative study
• pediatric healthcare
• AI voice assistants