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Currently accepted at: JMIR Medical Informatics

Date Submitted: Sep 10, 2025
Open Peer Review Period: Oct 23, 2025 - Dec 18, 2025
Date Accepted: Feb 25, 2026
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/83894

The final accepted version (not copyedited yet) is in this tab.

Digital Health Interoperability: Stakeholder Insights on Affinity Domains from the Czech Republic

  • Petra Hospodková; 
  • Jan Bruthans; 
  • Ilona Fejfarová

ABSTRACT

Background:

Operational health data interoperability in post-transition health systems requires not only technical standards but enforceable governance arrangements. Affinity domains, as defined in the IHE XDS framework, represent a structured organisational-technical model for cross-enterprise document sharing. However, evidence from Central and Eastern Europe on their governance feasibility and implementation readiness remains limited, particularly in systems characterised by institutional fragmentation and evolving regulatory mandates.

Objective:

This study aimed to examine stakeholder perceptions of the prerequisites, risks, benefits, and governance conditions for implementing affinity domains in the Czech healthcare system. The study further sought to identify system-level readiness factors relevant to national interoperability initiatives in the context of the European Health Data Space (EHDS).

Methods:

We conducted 18 semi-structured interviews between January and April 2025 with policymakers, regional health authorities, healthcare providers, health insurance funds, health IT vendors, and independent experts. Participants were selected using purposive and snowball sampling to ensure institutional diversity. Interviews explored governance roles, legal accountability for shared data, enforcement of standards, financing models, and technical readiness. Data were analysed inductively using thematic analysis in MAXQDA 24, supported by dual coding, consensus discussions, and reflexive memoing. Inductively derived themes were subsequently interpreted against core governance dimensions of affinity domains (rule-making authority, membership and participation, accountability, enforcement, and trust).

Results:

Five major thematic categories emerged: (A) ambiguous roles and responsibilities marked by fragmented mandates and vendor influence; (B) perceived risks including institutional distrust, legal uncertainty regarding liability, technical inconsistency, and vendor lock-in; (C) system-level prerequisites such as the need for an empowered coordinating authority, binding interoperability standards (IHE XDS, HL7 FHIR), sustainable financing, and human resource capacity; (D) perceived benefits including improved continuity of care, reduced duplication, and enhanced transparency; and (E) structural implementation barriers including political discontinuity, weak enforcement mechanisms, and limited stakeholder engagement. Across stakeholder groups, feasibility was consistently linked to three actionable readiness conditions: clearly assigned responsibility and liability for shared data; enforceable technical requirements supported by certification or audit mechanisms rather than voluntary compliance; and financing models addressing both IT infrastructure and organisational change.

Conclusions:

Affinity domains are recognised as a viable interoperability model in Czechia, but their implementation is constrained primarily by governance deficits rather than technical immaturity. Establishing an empowered coordinating authority, piloting enforceable domain structures, and aligning national governance with EHDS requirements represent necessary steps toward operational interoperability. These findings provide empirically grounded insight into governance conditions required for scalable health information exchange in post-transition health systems.


 Citation

Please cite as:

Hospodková P, Bruthans J, Fejfarová I

Digital Health Interoperability: Stakeholder Insights on Affinity Domains from the Czech Republic

JMIR Medical Informatics. 25/02/2026:83894 (forthcoming/in press)

DOI: 10.2196/83894

URL: https://preprints.jmir.org/preprint/83894

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