About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
SeWeBMeDa 2019
Conference paper
Enabling trust in clinical decision support recommendations through semantics
Abstract
In an ideal world, the evidence presented in a clinical guideline would cover all aspects of patient care and would apply to all types of patients; however, in practice, this rarely is the case. Existing medical decision support systems are often simplistic, rule-based, and not easily-adaptable to changing literature or medical guidelines. We are exploring ways that we can enable clinical decision support systems with Semantic Web technologies that have the potential to support representation and linking to details in the related items in the scientific literature, and that can quickly adapt to changing information from the guidelines. In this paper, we present the ontologies and our semantic web-based tools aimed at trustworthy clinical decision support in three distinct areas: guideline representation and reasoning, guideline provenance, and study cohort modeling.