title: Introduction of a new laboratory test: an econometric approach with the use of neural network analysis.
abstract: 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.
authors: Department of Clinical Biochemistry, Hospital Kladno, Czech Republic.
authors: A
authors: A
authors: Jabor
authors: T
authors: T
authors: Vlk
authors: P
authors: P
authors: Boril
mesh_terms: D002624:Chemistry, Clinical / Q000191:economics / Q000379:methods; D003198:Computer Simulation; D017048:Health Care Costs; D006801:Humans; D007150:Immunohistochemistry / Q000191:economics; D013677:Medical Laboratory Science / Q000191:economics* / Q000379:methods*; D017059:Models, Econometric; D016571:Neural Networks, Computer; D011933:Reagent Kits, Diagnostic / Q000191:economics* / Q000706:statistics & numerical data; D012307:Risk Factors
chemical_list: D011933:Reagent Kits, Diagnostic