
This document presents the IDERHA Project experience with HSBooster.eu services The IDERHA project, in collaboration with ASCAPE, iHELP, Bigpicture, EUCAIM, and HealthData@EU, formed a health project cluster to address shared standardisation challenges in health data. The cluster focused on harmonising data models, ontologies, and terminologies using key health standards such as HL7 FHIR, DICOM, OMOP, and ISO TC 215 Health Informatics. Their goal was to ensure interoperability and seamless data sharing across borders, particularly for cancer-related use cases. These efforts culminated in the publication of the paper “Synergies Among Health Data Projects with Cancer Use Cases Based on Health Standards” at the MIE 2024 conference. Additionally, the cluster is working on a European Health Data Space (EHDS) interoperability framework, aiming to facilitate cohesive data exchange and alignment with EU health policies. Discover all the HSbooster.eu Success Stories: https://hsbooster.eu/success-stories
data, AI, standardisation, health, interoperability, EHDS, health informatics, HL7FHIR
data, AI, standardisation, health, interoperability, EHDS, health informatics, HL7FHIR
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
