Introduction of a new laboratory test: an econometric approach with the use of neural network analysis
Language English Country Netherlands Media print
Document type Journal Article
PubMed
8740574
DOI
10.1016/0009-8981(95)06270-x
PII: 0009-8981(95)06270-X
Knihovny.cz E-resources
- MeSH
- Models, Econometric * MeSH
- Immunohistochemistry economics MeSH
- Chemistry, Clinical economics methods MeSH
- Humans MeSH
- Health Care Costs MeSH
- Neural Networks, Computer * MeSH
- Computer Simulation MeSH
- Reagent Kits, Diagnostic economics statistics & numerical data MeSH
- Risk Factors MeSH
- Medical Laboratory Science economics methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Reagent Kits, Diagnostic MeSH
We designed a simulation model for the assessment of the financial risks involved when a new diagnostic test is introduced in the laboratory. The model is based on a neural network consisting of ten neurons and assumes that input entities can have assigned appropriate uncertainty. Simulations are done on a 1-day interval basis. Risk analysis completes the model and the financial effects are evaluated for a selected time period. The basic output of the simulation consists of total expenses and income during the simulation time, net present value of the project at the end of simulation, total number of control samples during simulation, total number of patients evaluated and total number of used kits.
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