Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.

Using HL7 FHIR to achieve interoperability in patient health record.

http://mis.hevra.haifa.ac.il/~morpeleg/pubs/D35_JAMIA.pdf

Solving the interoperability challenge of a distributed complex patient guidance system: a data integrator based on HL7's Virtual Medical Record standard.

Archetype-based data warehouse environment to enable the reuse of electronic health record data

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.

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

Clinical Decision Support Systems (CDSS) have gained relevance due to their potential to support patient-centric care, but their deployment still has to overcome barriers to become successful. One of these barriers is the integration of patient data with the CDSS engine, a tough challenge given the need to address interoperability with many different existing systems and medical devices. The MobiGuide project aims to build such a CDSS, providing guideline- based clinical decision support through a Personal Health Record (PHR). This PHR is the main component through which the CDSS could access patient data originating from hospital EMRs and wearable sensors, but it also contains the log of the recommendations provided by the CDSS. Using a case study, we compare data-representation standards through which the PHR could be developed, while considering expressiveness and usability requirements. We propose to develop the PHR by combining openEHR archetypes and the HL7 Virtual Medical Record standard, supported by a service oriented framework for data exchange. This proposal aims to close the gap between the HL7 and the ISO/CEN 13606 by using an openEHR-based approach.

/pdf/data-integration-for-clinical-decision-support-based-on-2ni253grrq.pdf

Bert Verhees

Papers

Data integration for clinical decision support based on openEHR archetypes and HL7 virtual medical record