• Experiences With Integrating M...

*Result*: Experiences With Integrating Medical Terminologies Into User Interfaces for a Decision Support System for Primary Care: Conceptual and Development Study.

Title:
Experiences With Integrating Medical Terminologies Into User Interfaces for a Decision Support System for Primary Care: Conceptual and Development Study.
Authors:
Neff MC; Institute of Medical Informatics, University Medicine, Goethe University Frankfurt, Frankfurt, Germany., Schaaf J; Institute of Medical Informatics, University Medicine, Goethe University Frankfurt, Frankfurt, Germany., Ahmadi N; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany., Zoch M; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technical University of Dresden, Dresden, Germany., Schütze D; Institute of General Practice, Goethe University Frankfurt, Frankfurt, Germany., Storf H; Institute of Medical Informatics, University Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Source:
JMIR medical informatics [JMIR Med Inform] 2026 Feb 20; Vol. 14, pp. e74934. Date of Electronic Publication: 2026 Feb 20.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Imprint Name(s):
Original Publication: Toronto : JMIR Publications, [2013]-
MeSH Terms:
Primary Health Care* , Decision Support Systems, Clinical* , User-Computer Interface*, Humans ; Germany ; Electronic Health Records ; Artificial Intelligence
Contributed Indexing:
Keywords: clinical decision support; controlled vocabulary; primary care; user computer interfaces
Entry Date(s):
Date Created: 20260220 Date Completed: 20260220 Latest Revision: 20260220
Update Code:
20260221
DOI:
10.2196/74934
PMID:
41719551
Database:
MEDLINE

*Further Information*

*Background: Clinical decision support systems (CDSSs) have shown promise in improving diagnosis in primary care, particularly for chronic diseases. The SATURN (Smart Physician Portal for Patients With Unclear Disease) project developed a CDSS prototype for primary care in Germany that uses artificial intelligence to reduce diagnostic uncertainty in unclear and rare diseases. It generates recommendations based on clinical data from university hospitals stored in a standardized common data model. However, integrating primary care data in Germany remains challenging due to the use of country-specific vocabularies and heterogeneous data structures. Therefore, integration of medical concepts into general practitioners' user interfaces (UIs) and improved workflow design is needed.
Objective: This study investigates how the UI of a CDSS for primary care should be designed to facilitate the user-friendly entry of medical concepts.
Methods: A structured, iterative user-centered design process of five steps was applied: (1) conceptualization, including analysis of requirements and objectives, (2) implementation of the CDSS UI, (3) analysis of user and expert feedback, (4) workshop with experts in the primary care electronic health record system, and (5) development of an extended concept for the system UI.
Results: This study identified requirements and options for supporting data entry in the UI of a CDSS for primary care, thus providing a framework for future implementation and prototype development. Usability testing revealed the need to refine input support, particularly the language used to make the system easy for general practitioners to use. Further effort is required to map this. In addition, we have identified a system interface to electronic patient records in primary care as essential for the system.
Conclusions: This paper demonstrates how standardized medical terminologies can be integrated into a CDSS UI for primary care. The user-centered design approach has been effective in developing CDSS UIs that align with clinicians' workflows and provide a user-friendly experience. Although the current technical infrastructure presents significant challenges when connecting to primary care electronic health record systems, collaborating with experts enabled us to identify potential interface solutions. Overall, the results indicate a need for optimized physician language input support and interoperability, including standardized data entry, automated tools, and artificial intelligence-based approaches to enhance data quality and usability.
(©Michaela Christina Neff, Jannik Schaaf, Najia Ahmadi, Michele Zoch, Dania Schütze, Holger Storf. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 20.02.2026.)*