Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
November 8, 2025Open Access

A qualitative Interview Study Investigating Patient, Health Professional, and Developer Perspectives on Real-World Implementation of Patient-Centered AI Systems

View Full Paper
Ask AI
Bookmark
Share

Authors

NBNatalie C. BendaColumbia UniversityPDPooja DesaiColumbia University Irving Medical CenterZRZayan RezaColumbia University

Discussion

Loading...

Member takes

Overview

Qualitative interviews reveal critical insights from patients and professionals on AI's clinical benefits and risks.

Key Points

  • Implementation of patient-centered AI systems enhances engagement among health professionals and patients, improving clinical decisions.
  • Semi-structured interviews with 34 participants highlighted the importance of addressing AI risks, such as bias and anxiety.
  • Thematic analysis of discussions reveals a need for transparency in AI accuracy and understanding its predictors for postpartum depression.
  • Addressing data quality, privacy, and security concerns is crucial for the successful integration of AI tools in healthcare.

Cite This Study

Benda et al. (2025) studied this question.

synapsesocial.com/papers/690e8b6ca5b062d7a4e734behttps://doi.org/10.21203/rs.3.rs-7908218/v1
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study2021 · 44 citations
  2. 2Artificial Intelligence for Health Professions Educators2021 · 139 citations
  3. 3Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature2019 · 262 citations
  4. 4Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review2020 · 141 citations
  5. 5The illusion of safety: A report to the FDA on AI healthcare product approvals2025 · 41 citations