Common data models and data standards for tabular health data: a systematic review [PDF]
Background The use of health data supports knowledge-based decision-making in healthcare. Common Data Models (CDMs) and data standards facilitate the integration of diverse data sources and enable federated analysis by harmonizing data formats and ...
Melissa Finster +2 more
doaj +2 more sources
Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards [PDF]
Following the proposal by Tsafnat et al (2024) to converge on three open health data standards, this viewpoint offers a critical reflection on their proposed alignment of openEHR, Fast Health Interoperability Resources (FHIR), and ...
Daniel Kapitan +5 more
doaj +2 more sources
Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores [PDF]
Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources.
Kim K. Sommer +27 more
doaj +2 more sources
Use of openehr on mobile platforms [PDF]
Interoperability or ability to exchange information represents one of the key issues in exchange of information between healthcare information systems. Problem of interoperability is solved through definition of standards which unify the exchange of information. There are multiple standards currently available, one of them is also openEHR.
Kresnik, Klemen
openaire +3 more sources
Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review [PDF]
BackgroundThe aging global population and the rising prevalence of chronic disease and multimorbidity have strained health care systems, driving the need for expanded health care resources.
Mattias Seth +5 more
doaj +2 more sources
Cross-Standard Health Data Harmonization using Semantics of Data Elements [PDF]
Faced with heterogeneity of healthcare data, we propose a novel approach for harmonizing data elements (i.e., attributes) across health data standards. This approach focuses on the implicit concept that is represented by a data element.
Shuxin Zhang +2 more
doaj +2 more sources
openEHR is FAIR-Enabling by Design [PDF]
Abstract The FAIR Principles are a set of recommendations that aim to underpin knowledge discovery and integration by making the research outcomes Findable, Accessible, Interoperable and Reusable . These guidelines encourage the accurate recording
Francesca Frexia +7 more
openaire +3 more sources
openEHR Mapper – A Tool to Fuse Clinical and Genomic Data Using the openEHR Standard [PDF]
Precision medicine is an emerging and important field for health care. Molecular tumor boards use a combination of clinical and molecular data, such as somatic tumor mutations to decide on personalized therapies for patients who have run out of standard treatment options.
Niklas Reimer +4 more
openaire +2 more sources
openEHR-to-FHIR: Converting openEHR Compositions to Fast Healthcare Interoperability Resources (FHIR) for the German Corona Consensus Dataset (GECCO) [PDF]
The German Corona Consensus (GECCO) established a uniform dataset in FHIR format for exchanging and sharing interoperable COVID-19 patient specific data between health information systems (HIS) for universities.
Gietzelt, Matthias +8 more
core +1 more source
Beacon is a basic data discovery protocol issued by the Global Alliance for Genomics and Health (GA4GH). Beacon version 2 serves real world requirements and addresses the needs of clinical genomics research and healthcare, allowing implementing consortia to return matches in beacon responses and provide a handover to their preferred data exchange ...
Jordi Rambla +14 more
wiley +1 more source

