Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record. In: Lenz R, Miksch S, Peleg M, Reichert M, Riaño D, ten Teije A, editors. Process Support and Knowledge Representation in Health Care. Berlin: Springer Berlin Heidelberg; 2013. pp. 71-84. [DOI: 10.1007/978-3-642-36438-9_5]

Design and Development of a Sharable Clinical Decision Support System Based on a Semantic Web Service Framework

Clinical decision support (CDS) systems provide clinicians and other health care stakeholders with patient-specific assessments or recommendations to aid in the clinical decision-making process. Despite their demonstrated potential for improving health care quality, the widespread availability of CDS systems has been limited mainly by the difficulty and cost of sharing CDS knowledge among heterogeneous healthcare information systems. The purpose of this study was to design and develop a sharable clinical decision support (S-CDS) system that meets this challenge. The fundamental knowledge base consists of independent and reusable knowledge modules (KMs) to meet core CDS needs, wherein each KM is semantically well defined based on the standard information model, terminologies, and representation formalisms. A semantic web service framework was developed to identify, access, and leverage these KMs across diverse CDS applications and care settings. The S-CDS system has been validated in two distinct client CDS applications. Model-level evaluation results confirmed coherent knowledge representation. Application-level evaluation results reached an overall accuracy of 98.66 % and a completeness of 96.98 %. The evaluation results demonstrated the technical feasibility and application prospect of our approach. Compared with other CDS engineering efforts, our approach facilitates system development and implementation and improves system maintainability, scalability and efficiency, which contribute to the widespread adoption of effective CDS within the healthcare domain.

It's time for health record banking!

This article is part of a Focus Theme of Methods of Information in Medicine on Health Record Banking. This Focus Theme aims at describing the Health Record Banking (HRB) paradigm, which offers an alternative constellation of health information exchange and integration through sustainability of health records over the lifetime of individuals by independent and trusted organizations. It also aims at describing various approaches to HRB and reporting on the state-of-the-art HRB through actual implementations and lessons learned, as described in articles of this Focus Theme.