An overview of clinical decision support systems
Benefits, risks, and strategies for success
Datos Bibliográficos
| ID | 23324463 |
|---|---|
| Autores | Reed T Sutton (0000-0002-3009-1914, University of Alberta), David Pincock (0000-0003-1163-2356, Alberta Health Services), Daniel C Baumgart (0000-0003-2146-507X, University of Alberta), Daniel Sadowski (0000-0001-6614-8866, University of Alberta), Daniel C Sadowski, Richard N Fedorak (0000-0002-7382-0080, University of Alberta), Karen I Kroeker (0000-0002-3886-4213, University of Alberta, autor de correspondencia) |
| Año | 2020 |
| Volumen | 3 |
| Número | 1 |
| Páginas | 17-17 |
| Fecha de publicación | 2020-02-06 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | npj Digital Medicine (JOURNAL) |
| Identificadores de la revista | ISSN: 2398-6352 • E-ISSN: 2398-6352 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41746-020-0221-y |
| PMID | 32047862 |
| OpenAlex | W3004612364 |
| Idioma | EN |
| Citas recibidas | 58 |
| Referencias citadas | 87 |
Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution. 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. Despite these advances, there remain unknowns regarding the effect CDSS have on the providers who use them, patient outcomes, and costs. 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. 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. We conclude with evidence-based recommendations for minimizing risk in CDSS design, implementation, evaluation, and maintenance.
Business · Decision support system · Management science · Risk analysis (engineering) · Artificial Intelligence · Artificial Intelligence in Healthcare · Computer Science · Electronic Health Records Systems · Engineering · Machine Learning in Healthcare
Report
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| Obras citantes distintas | 58 |
|---|---|
| Citas por año | 9,67 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 51 |