Paper Number

2388

Paper Type

Complete Research Paper

Abstract

Clinical Decision Support Systems (CDSS) intend to improve the quality of healthcare delivery and the management of daily tasks. However, the literature review shows a gap in the effectiveness of CDSS, as reaching the prestigious state of maturity is a hard and slow process. Open standards are a promising strategy to address this problem, promoting the extraction and representation of clinical knowledge in a machine-readable format that is structured and interoperable with other systems. Therefore, this research paper proposes a system based on a decision logic engine following the Decision Language specifications of the openEHR standard. A previously developed Maturity Staging Model was used to evaluate if the adoption of the openEHR contributed to achieving a more effective CDSS. The adopted approach promises to overcome the effectiveness gap in the CDSS literature.

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Jun 14th, 12:00 AM

EFFECTIVE CLINICAL DECISION SUPPORT BY MEANS OF THE ADOPTION OF OPENEHR STANDARD

Clinical Decision Support Systems (CDSS) intend to improve the quality of healthcare delivery and the management of daily tasks. However, the literature review shows a gap in the effectiveness of CDSS, as reaching the prestigious state of maturity is a hard and slow process. Open standards are a promising strategy to address this problem, promoting the extraction and representation of clinical knowledge in a machine-readable format that is structured and interoperable with other systems. Therefore, this research paper proposes a system based on a decision logic engine following the Decision Language specifications of the openEHR standard. A previously developed Maturity Staging Model was used to evaluate if the adoption of the openEHR contributed to achieving a more effective CDSS. The adopted approach promises to overcome the effectiveness gap in the CDSS literature.

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