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From guidelines to practice: improving clinical care through rule-based clinical decision support at the point of care
conference contribution
posted on 2023-06-08, 17:42 authored by Ayesha Aziz, Salvador Rodriguez Loya, Chris ChatwinChris ChatwinHealthcare Information Technology (HIT) is a dynamically evolving industry due to continuous advancements in healthcare technologies. This necessitates the availability of highly dynamic applications that accommodate frequent changes in business logic. The automation of Clinical Decision Support (CDS) in particular is most liable to changes in health business logic or rules. In terms of system’s architecture, there is a need to separate business logic and rules from the implementation/functionality of the Electronic Health Record (EHR) application, providing processes and rules as reusable components. We propose an architecture utilizing rule-based technologies to facilitate Decision Support to promptly adapt business logic changes, that are reflected immediately in application behavior. This allows real-time and robust CDS for the physician at point of care. Our rule-based implementation (Business Process Modelling Notation (BPMN)+Rules) was successfully used to emulate Clinical workflows, using as an example, the NICE Lung Cancer Clinical Guideline (CG121) as a test scenario.
History
Publication status
- Published
Journal
Proceedings of the 8th International Web Rule Symposium: rules on the web: from theory to applications; Prague, Czech Republic; 18-20 August 2014ISSN
0302-9743Publisher
Springer International PublishingExternal DOI
Volume
8620Page range
178-185ISBN
9783319098692Series
Lecture notes in computer scienceDepartment affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Industrial Informatics and Signal Processing Research Group Publications
Full text available
- No
Peer reviewed?
- Yes
Editors
Paul Fodor, Dumitru Roman, Antonis BikakisLegacy Posted Date
2014-07-02Usage metrics
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