Farion, Ken, Michalowski, Wojtek, Wilk, Syzmon, O'Sullivan, Dympna, Rubin, Steven and Weiss, David (2009) Clinical Decision Support System for Point of Care Use. Methods of Information in Medicine, 48 (4). pp. 381-390. ISSN 0026-1270
Full text not available from this repository.Abstract
Objectives: The objective of this research was to design a clinical decision support system (CDSS) that supports heterogeneous clinical decision problems and runs on multiple computing platforms. Meeting this objective required a novel design to create an extendable and easy to maintain clinical CDSS for point of care support. The proposed solution was evaluated in a proof of concept implementation.
Methods: Based on our earlier research with the design of a mobile CDSS for emergency triage we used ontology-driven design to represent essential components of a CDSS. Models of clinical decision problems were derived from the ontology and they were processed into executable applications during runtime. This allowed scaling applications’ functionality to the capabilities of computing platforms. A prototype of the system was implemented using the extended client-server architecture and Web services to distribute the functions of the system and to make it operational in limited connectivity conditions.
Results: The proposed design provided a common framework that facilitated development of diversified clinical applications running seamlessly on a variety of computing platforms. It was prototyped for two clinical decision problems and settings (triage of acute pain in the emergency department and postoperative management of radical pros-tatectomy on the hospital ward) and implemented on two computing platforms – desktop and handheld computers.
Conclusions: The requirement of the CDSS heterogeneity was satisfied with ontology-driven design. Processing of application models described with the help of ontological models allowed having a complex system running on multiple computing platforms with different capabilities. Finally, separation of models and runtime components contributed to improved extensibility and maintainability of the system.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software R Medicine > Healthcare Industry |
Divisions: | School of Computing > Staff Research and Publications |
Depositing User: | Caoimhe Ní Mhaicín |
Date Deposited: | 22 Sep 2018 10:37 |
Last Modified: | 22 Sep 2018 10:37 |
URI: | https://norma.ncirl.ie/id/eprint/3176 |
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