Data-informed healthcare service design for multiple long-term conditions using online patient stories
ABSTRACT: Conventional service design methods are valuable for improving healthcare experience, but are limited in scale and information capture. Based on a constructed database of 2,320 stories from patients and carers with multiple long-term conditions (MLTC), this paper shows how real-life experiences can be used to inform healthcare service redesign. By combining the richness of qualitative insight with the breadth and representativeness of large-scale data, it identifies “Continuity of care”, “Care coordination”, and “Temporal – Access to services” as the priority redesign opportunities for MLTC.
Authors
- Ji Han
- Saeema Ahmed-Kristensen
- Marta Staff
Institutions
- University of Exeter (GB)
Publication Details
- Journal
- Proceedings of the Design Society
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1017/pds.2026.10532
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00