One of the main challenges in the field of Electronic Health Records (EHRs) is semantic interoperability. To utilise the full potential of interoperable EHR systems they have to be accepted by their users, the health care providers. Good Graphical User Interfaces (GUIs) that support customisation and data validation play a decisive role for user acceptance and data quality. This study investigates the use of openEHR archetypes to automatically generate coherent, customizable, data-validating GUIs. Using the Mozilla XML User Interface Language (XUL) a series of prototypes has been developed. The results show that the automatic generation of GUIs from openEHR archetypes is feasible in principle. Although XUL revealed some problems, the advantages of XML-based GUI languages are evident.
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Int J Med Inform
January 2025
The Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Objectives: Patient-Generated Health Data (PGHD) is increasingly influential in therapy and diagnostic decisions. PGHD should be integrated into electronic health records (EHR) to maximize its utility. This study evaluates the openEHR Reference Model (RM) compatibility with the DH-Convener initiative's modules (Data Collection Module and Data Connector Module) as a potential concept for standardizing PGHD across wearable health devices, focusing on achieving interoperability.
View Article and Find Full Text PDFJMIR Med Inform
September 2024
ALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.
Background: Corneal transplantation, also known as keratoplasty, is a widely performed surgical procedure that aims to restore vision in patients with corneal damage. The success of corneal transplantation relies on the accurate and timely management of patient information, which can be enhanced using electronic health records (EHRs). However, conventional EHRs are often fragmented and lack standardization, leading to difficulties in information access and sharing, increased medical errors, and decreased patient safety.
View Article and Find Full Text PDFInt J Med Inform
November 2024
CRS4: Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy.
J Biomed Inform
September 2024
CTI Renato Archer and UNIFACCAMP, Rod. D. Pedro I, km 143, Campinas, 13069-901, SP, Brazil.
Objective: The reuse of Electronic Health Records (EHR) information models (e.g., templates and archetypes) may bring various benefits, including higher standardization, integration, interoperability, increased productivity in developing EHR systems, and unlock potential Artificial Intelligence applications built on top of medical records.
View Article and Find Full Text PDFJ Biomed Inform
August 2023
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117 Berlin, Germany; Health Data Science Unit, Heidelberg University Hospital and BioQuant, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany. Electronic address:
Background: The reuse of data from electronic health records (EHRs) for research purposes promises to improve the data foundation for clinical trials and may even support to enable them. Nevertheless, EHRs are characterized by both, heterogeneous structure and semantics. To standardize this data for research, the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) standard has recently seen an increase in use.
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