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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 Chatwin
Healthcare 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 2014

ISSN

0302-9743

Publisher

Springer International Publishing

Volume

8620

Page range

178-185

ISBN

9783319098692

Series

Lecture notes in computer science

Department 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 Bikakis

Legacy Posted Date

2014-07-02

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