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

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 syst...

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Bibliographic Details
Published in:International journal of environmental research and public health 2019-12, Vol.17 (1), p.73
Main Authors: Semenov, Ilia, Osenev, Roman, Gerasimov, Sergey, Kopanitsa, Georgy, Denisov, Dmitry, Andreychuk, Yuriy
Format: Article
Language:English
Subjects:
Application programming interface
Artificial intelligence
Bayes Theorem
Bayesian analysis
Communication
Data management
Data Management - methods
Data transfer (computers)
Decision support systems
Decision Support Systems, Clinical
Electronic Health Records
Health care
Hospital Information Systems
Humans
Information systems
Interfaces
Interoperability
Laboratories
Logic
Mathematical models
Medical personnel
Patients
Personal health
Physicians
Records
Semantics
Software
Support services
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph17010073