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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.28145 |
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| _version_ | 1866910084895866880 |
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| author | Han, Ji Staff, Marta Ahmed-Kristensen, Saeema |
| author_facet | Han, Ji Staff, Marta Ahmed-Kristensen, Saeema |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_28145 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Data-informed healthcare service design for multiple long-term conditions using online patient stories Han, Ji Staff, Marta Ahmed-Kristensen, Saeema Databases J.3 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. |
| title | Data-informed healthcare service design for multiple long-term conditions using online patient stories |
| topic | Databases J.3 |
| url | https://arxiv.org/abs/2603.28145 |