Abstract | ||
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Clinical decision making is non-trivial given the amounts of data and knowledge that needs to be considered. So far, medical knowledge, biological knowledge and patient data are separated from each other and need to be integrated mentally by a physician to form an overarching patient model. In this paper, we describe a vision for future decision support systems that link knowledge about organ functions, biological processes, treatment decisions and clinical data represented in repsective models. Requirements and challenges for realizing this vision will be collected. |
Year | DOI | Venue |
---|---|---|
2015 | 10.3233/978-1-61499-564-7-948 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Clinical decision support system,Digital patient model,Medical informatics applications,Health information system | Clinical decision making,Decision support system,Knowledge management,Medical knowledge,Clinical decision support system,R-CAST,Health informatics,Medicine | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kerstin Denecke | 1 | 140 | 23.57 |