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A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract
- Source :
- Artificial Intelligence in Medicine ISBN: 9783540661627, AIMDM
- Publication Year :
- 1999
- Publisher :
- Springer Berlin Heidelberg, 1999.
-
Abstract
- Empirical antibiotic treatment with broad-spectrum antibiotics provides a high probability of covering treatment, but is associated with unnecessary costs as high drug prices, side-effects, and facilitated development of antibiotic resistance. A decision support system (DSS) based upon a causal probabilistic network (CPN) was constructed from a database with 491 cases (1992-94) of urosepticaemia and validated on 426 cases (1995-96). The CPN uses decision theory to balance the gain in life-years due to therapy against the costs of the antibiotic therapy, i.e. price, side-effects and ecological cost. The DSS selected antibiotics of an overall lower price, higher coverage and less ecological cost than the antibiotics actually chosen for empirical treatment. Thus, a DSS incorporating the CPN could achieve a desirable antibiotic policy, and it holds promise for improving empirical antibiotic therapy.
- Subjects :
- Decision support system
Computer science
business.industry
medicine.drug_class
Decision theory
Antibiotics
Probabilistic logic
medicine.disease
Empirical treatment
Empirical antibiotic therapy
Antibiotic resistance
Bacteremia
Antibiotic therapy
medicine
Operations management
Artificial intelligence
business
health care economics and organizations
Subjects
Details
- ISBN :
- 978-3-540-66162-7
- ISBNs :
- 9783540661627
- Database :
- OpenAIRE
- Journal :
- Artificial Intelligence in Medicine ISBN: 9783540661627, AIMDM
- Accession number :
- edsair.doi...........e0b7f920278ce780676294cc16488b8b
- Full Text :
- https://doi.org/10.1007/3-540-48720-4_21