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.
Recommended Citation
Hak, Francini and Santos, Manuel Filipe, "Effective Clinical Decision Support by Means of the Adoption of OPENEHR Standard" (2024). ECIS 2024 Proceedings. 13.
https://aisel.aisnet.org/ecis2024/track18_healthit/track18_healthit/13
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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