Narrative Medicine Forum
FA Cuiwen, DING Xi, YUAN Chaoxiang, QIN Sirui, WANG Yurong
Online available: 2026-10-21
Objective To examine how artificial intelligence (AI) tools affect the Attention-Representation-Affiliation framework of narrative medicine in rare disease care,with particular attention to changes in narrative and interpretive authority among patients,clinicians,patient organizations,and platforms.Methods An exploratory case study was conducted with the patient organization FDS (pseudonym) and its AI tool development practice as the case context.Eight key informants occupying different experiential positions were interviewed.The interviews were considered alongside 12 months of online observation and an analysis of publicly described functions of narrative-oriented AI tools.Thematic analysis was the primary method,supplemented by within-role analysis and cross-role comparison informed by the framework method.Results The materials suggest that AI may support information organization and patient expression,while its contribution is conditional.In Attention,AI may reduce documentation burdens,while clinicians remain responsible for questioning,examination,and verification.In Representation,AI may help patients organize their experiences,while predefined fields,prompts,and filtering rules may reshape what can be expressed.In Affiliation,digital platforms may strengthen informational and emotional connections among patients,whereas the present evidence does not show that they can replace trust grounded in clinical responsibility,empathy,and embodied presence.Conclusions The integration of AI and narrative medicine should be treated as an empirical proposition requiring continued examination.Narrative-oriented AI should remain assistive and should preserve original expression,enable patient review and revision,and specify responsibilities for human verification,interpretation,and clinical decisions,so that efficiency-driven approaches do not displace narrative practice itself.