Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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PAPERS: Practicing with Care: Context and Specificality Location: Appleton Tower, LT2 Zoom Link Accessibility: https://www.accessable.co.uk/the-university-of-edinburgh/central-area/access-guides/appleton-lecture-theatre-2-edinburgh Session Chair: John Vines, University of Edinburgh Session Chair: Sarah Kettley, University of Edinburgh | |
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Narrativizing Care: Exploring Narrative Medicine for Designing AI-Mediated Remote Patient Monitoring 1: University of Edinburgh, United Kingdom; 2: TU Delft, The Netherlands; 3: Department of Cardiology, Leiden University Medical Centre, The Netherlands; 4: Amsterdam University of Applied Sciences, The Netherlands; 5: University of Amsterdam, The Netherlands This paper examines how care is enacted and understood within Remote Patient Monitoring (RPM) systems, which promise efficiency and autonomy but fragment care into data flows. Drawing on ethnographic fieldwork in a Dutch hospital’s RPM program for myocardial infarction patients, we analyze how stories, reassurance, and contextual interpretation unfold alongside structured data, revealing the promise and limits of AI-mediated care. Using narrative medicine’s triad of attention, representation, and affiliation, we identify how extractive data models overlook patients’ lived realities and relational dimensions of care. We propose three design provocations for exploring the application of AI in RPM systems: narrative layers which situate data within evolving stories, shared story construction which supports co-authored records, and temporal storytelling which captures care as an ongoing narrative. We argue narrativization is central and not supplementary to relational care, and position narrative medicine as a design lens for creating AI infrastructures that sustain human connection. View Paper: https://doi.org/10.21606/drs.2026.1500
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