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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Everyone Becomes a Patient: Why Patient-Led Pathfinding Is Essential for Clinically Stable AI and Digital Health Systems

Authors: Domargård, Anita;

Everyone Becomes a Patient: Why Patient-Led Pathfinding Is Essential for Clinically Stable AI and Digital Health Systems

Abstract

This paper presents a conceptual synthesis on why patient-led pathfinding is essential for the development of clinically stable digital health and AI-enabled systems. It argues that persistent failures in healthcare digitalisation are not primarily technical, but structural, arising from misaligned system incentives, disrupted clinical workflows, and insufficient legitimacy. Building on the Clinically-Grounded Systems (CGS) series, the paper positions patients as uniquely capable of leading early system pathfinding without institutional or professional conflicts of interest. It shows how patient-led grounding enables professional alignment, legitimate governance, and safer integration of AI as a downstream clinical tool rather than a primary driver of change. The paper is intended for clinicians, health system leaders, policymakers, patient organisations, and researchers working at the intersection of healthcare, digitalisation, and artificial intelligence.

Keywords

Artificial Intelligence in Medicine, Patient-led design, Health Policy, Clinically grounded systems, Patient engagement, Learning health systems, Health Informatics, Healthcare digitalisation, Artificial intelligence (AI), Clinical Decision Support, Health Systems Research, Health system architecture, Patient-Centered Care, Medical Sociology, Digital Health, Clinical workflows, System incentives, Digital health

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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