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Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support

Bibliographic Data

ID15475285
AuthorsIlia Semenov (Xilinx (United States)), Roman Osenev (Xilinx (United States)), С А Герасимов (0000-0003-1273-3212, Xilinx (United States)), Sergey Gerasimov (Medlinx LLC, Saint-Petersburg 197101, Russia), Georgy Kopanitsa (0000-0002-6231-8036, ITMO University, corresponding author), Д Б Денисов (0000-0001-5403-5661, Xilinx (United States)), Dmitry Denisov (Medlinx LLC, Saint-Petersburg 197101, Russia), Yuriy Andreychuk (Xilinx (United States))
Year2019
Volume17
Issue1
Pages73-73
Publication date2019-12-20
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17010073
PMID31861851
OpenAlexW2996450033
LanguageEN
Citations received1
References cited29

This paper is an extension of work originally presented to pHealth 2019-16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. To provide an efficient decision support, it is necessary to integrate clinical decision support systems (CDSSs) in information systems routinely operated by healthcare professionals, such as hospital information systems (HISs), or by patients deploying their personal health records (PHR). CDSSs should be able to use the semantics and the clinical context of the data imported from other systems and data repositories. A CDSS platform was developed as a set of separate microservices. In this context, we implemented the core components of a CDSS platform, namely its communication services and logical inference components. A fast healthcare interoperability resources (FHIR)-based CDSS platform addresses the ease of access to clinical decision support services by providing standard-based interfaces and workflows. This type of CDSS may be able to improve the quality of care for doctors who are using HIS without CDSS features. The HL7 FHIR interoperability standards provide a platform usable by all HISs that are FHIR enabled. The platform has been implemented and is now productive, with a rule-based engine processing around 50,000 transactions a day with more than 400 decision support models and a Bayes Engine processing around 2000 transactions a day with 128 Bayesian diagnostics models

Clinical decision support system · Context (archaeology · Data mining · Data science · Database · Decision support system · Health care · Interoperability · Knowledge management · Semantic interoperability · Workflow · World Wide Web · Artificial Intelligence in Healthcare · Computer Science · Data Quality and Management · Electronic Health Records Systems · Health Informatics

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    Augustino Mwogosi, Cesilia Mambile•Information Technology and People•2025

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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