Currently accepted at: JMIR Medical Informatics
Date Submitted: Sep 5, 2025
Open Peer Review Period: Sep 16, 2025 - Nov 11, 2025
Date Accepted: Mar 2, 2026
(closed for review but you can still tweet)
This paper has been accepted and is currently in production.
It will appear shortly on 10.2196/83608
The final accepted version (not copyedited yet) is in this tab.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Health Knowledge Management Platform: A Requirement-based Evaluation of a Data-centric Approach for Patient Care and Research
ABSTRACT
Background:
In the evolving landscape of healthcare, data utilization plays an ever-increasing role in health care IT. However, data are often siloed, and uncoded free-text, distributed across several IT systems. This paper introduces a Health Knowledge Management Platform, designed to integrate, harmonize and enable re-use of health care and medical research data. The platform aims to bridge the gap between research and patient care, showcased through real-world scenarios, emphasizing data harmonization and knowledge management within a healthcare institution. The study is based at University Hospital Schleswig-Holstein's (UKSH).
Objective:
The main objective of this project is to design, implement and evaluate a knowledge management platform that integrates health care and biomedical research to support use cases in both domains.
Methods:
The study describes the " health knowledge management platform" designed to access and gain knowledge from health care and medical research data. We performed several rounds of focus groups with stakeholders to elicit the platform requirements. In the process we identified key aspects of the platform. From the requirements we designed an architecture concept. The platform evaluation follows the Framework for Evaluation in Design Science Research (FEDS) and ISO/IEC 25000 standard with a focus on key aspects identified, and real-world scenarios. Two application scenarios – cardiology and radiology – are selected for a naturalistic, qualitative evaluation.
Results:
We show that our Open Health Knowledge Management Platform is capable of integrating diverse data formats like HL7® V2 messages, CSV exports, and DICOM® imaging data. The platform is also capable of supporting different scenarios based on its five-layer architecture including a clinical data repository and services like Master Patient Index and Consent Management. The evaluation showed our platform’s capability in certain real-world scenarios of cardiology and radiology. Our evaluation confirms the platform’s coverage of key points and requirements identified to support knowledge management in health care institutions.
Conclusions:
Our evaluation of the health knowledge management platform at UKSH reveals its capabilities which are possibly leading to better knowledge transfer between patient care and research. The platform's architecture and standardized data improve the quality of data and facilitates access to knowledge. Ongoing development and potential quantitative measures will further enhance its applicability and performance in dynamic health care landscapes. Clinical Trial: N/A
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.