title: Case-based reasoning in Intelligent Health Decision Support Systems.
abstract: Decision-making is a crucial task for decision makers in healthcare, especially because decisions have to be made quickly, accurately and under uncertainty. Taking into account the importance of providing quality decisions, offering assistance in this complex process has been one of the main challenges of Artificial Intelligence throughout history. Decision Support Systems (DSS) have gained popularity in the medical field for their efficacy to assist decision-making. In this sense, many DSS have been developed, but only few of them consider processing and analysis of information contained in electronic health records, in order to identify individual or population health risk factors. This paper deals with Intelligent Decision Support Systems that are integrated into Electronic Health Records Systems (EHRS) or Public Health Information Systems (PHIS). It provides comprehensive support for a wide range of decisions with the purpose of improving quality of care delivered to patients or public health planning, respectively.
authors.affiliation: Computational Intelligence Research Group, University of Cauca, Colombia.
authors.forename: Carolina
authors.initials: C
authors.lastname: González
authors.forename: Diego M
authors.initials: DM
authors.lastname: López
authors.forename: Bernd
authors.initials: B
authors.lastname: Blobel
mesh_terms: D001185:Artificial Intelligence; D016022:Case-Control Studies; D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records; D055991:Health Records, Personal; D008498:Medical Record Linkage; D018511:Systems Integration