Health Knowledge Management Platform: A Requirement-based Evaluation of a Data-centric Approach for Patient Care and Research (Preprint)

Abstract

<sec> <title>BACKGROUND</title> 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). </sec> <sec> <title>OBJECTIVE</title> 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. </sec> <sec> <title>METHODS</title> 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. </sec> <sec> <title>RESULTS</title> 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. </sec> <sec> <title>CONCLUSIONS</title> 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. </sec> <sec> <title>CLINICALTRIAL</title> N/A </sec>

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