6ĬDSSs have been classified and subdivided into various categories and types, including intervention timing, and whether they have active or passive delivery.
These devices may or may not produce outputs directly on the device or be linked into EHR databases. They can be administered through desktop, tablet, smartphone, but also other devices such as biometric monitoring and wearable health technology. 5 Presently, CDSS often make use of web-applications or integration with electronic health records (EHR) and computerized provider order entry (CPOE) systems. 3, 4 There were also ethical and legal issues raised around the use of computers in medicine, physician autonomy, and who would be at fault when using the recommendation of a system with imperfect ‘explainability’. At the time, they had poor system integration, were time intensive and often limited to academic pursuits. Increasingly however, there are CDSS being developed with the capability to leverage data and observations otherwise unobtainable or uninterpretable by humans.Ĭomputer-based CDSSs can be traced to the 1970s. 2 CDSSs today are primarily used at the point-of-care, for the clinician to combine their knowledge with information or suggestions provided by the CDSS.
SPSS MODELER 18 IMPUTE MISSING SOFTWARE
1 A traditional CDSS is comprised of software designed to be a direct aid to clinical-decision making, in which the characteristics of an individual patient are matched to a computerized clinical knowledge base and patient-specific assessments or recommendations are then presented to the clinician for a decision. We conclude with evidence-based recommendations for minimizing risk in CDSS design, implementation, evaluation, and maintenance.Ī clinical decision support system (CDSS) is intended to improve healthcare delivery by enhancing medical decisions with targeted clinical knowledge, patient information, and other health information. In this paper, we provide a state-of-the-art overview on the use of clinical decision support systems in medicine, including the different types, current use cases with proven efficacy, common pitfalls, and potential harms. There have been numerous published examples in the past decade(s) of CDSS success stories, but notable setbacks have also shown us that CDSS are not without risks. Despite these advances, there remain unknowns regarding the effect CDSS have on the providers who use them, patient outcomes, and costs. They are now commonly administered through electronic medical records and other computerized clinical workflows, which has been facilitated by increasing global adoption of electronic medical records with advanced capabilities. Since their first use in the 1980s, CDSS have seen a rapid evolution. CDSS are used to augment clinicians in their complex decision-making processes. Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today.