D3.2 - Roadmap for the implementation of the new domain
The OurHealth@PT – Expansion of the Cross-border services in Portugal and implementation of the Laboratory Results service is an action co-funded by European Union’s (EU) EU4Health programme 2021 – 2027 that will further support Portugal’s objectives to enhance and improve its national cross-border services, with the aim of providing national and EU citizens with the opportunity to make full use of MyHealth@EU services and progress towards a wider range of services offered.Within OurHealth@PT project, Work Package (WP) 3 – Preparation, implementation and pre-production testing – is responsible to design a national deployment plan and to perform national preparatory and implementing activities towards the provision ofcross-border eHealth services according to the eHealth Digital Service Infrastructure (eHDSI) Operations Framework.In order to accomplish these goals, Deliverable (D) 3.2 presents a roadmap for the implementation of the new domains (Medical Test Results, including Laboratory Tests and related Reports; Medical Image Studies and related Imaging Reports; and DischargeReports) under the MyHealth@EU infrastructure. The roadmap of these new domains is outlined according to the timeline of the European Health Data Space (EHDS) Regulation (Regulation 2025/327), also considering the main EU co-financed actions wheredevelopment of the domains is occurring, and the timeline of the MyHealth@EU infrastructure for the implementation of new use cases.Furthermore, in this deliverable it is also presented the plan for the implementation of the Laboratory Results Reports (LRR) service. Through the OurHealth@PT project, Portugal will implement this service in the Wave 9 of MyHealth@EU timeline. Theroadmap for the implementation of this new domain provides an evaluation and timeline plan, as well as a risk and mitigation plan aimed to minimise the impact of the implementation of the cross-border sharing of laboratory results report service.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-11
- DOI
- https://doi.org/10.5281/zenodo.15378809
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00