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Clinical biochemistry test eliminator providing cost-effectiveness with five algorithms
1Department of Medical Biochemistry, Harran University, Sanliurfa, Turkey.
Abstract:
Objectives: The purpose of this study is to investigate the elimination ratios of requested unnecessary tests and the cost-effectiveness to be achieved by means of 5 different algorithms with clinical validity defined in an artificial intelligence program.Methods: The clinician orders received from the hospital information management system were adapted to eliminate AST, direct bilirubin, chlorine, fPSA and fT3 tests using five different algorithms defined in the ALIN IQ software.Results: In this study, 18387 AST, 9500 direct bilirubin, 61 free PSA, 1127 FT3 and 11172 chlorine tests that were ordered within 45 days were eliminated using 5 different algorithms defined in the ALIN IQ software in the Laboratory of Harran University Faculty of Medicine. USD 5592.76 was saved in 45 days. The annual saving is expected to be 363710 tests and USD 45363.49.Conclusion: Five different tests were successfully eliminated with this study. Open-code smart softwares, which can create indefinite algorithms may be utilized as test eliminators in diagnostic clinical laboratories. Millions of dollars may be saved by means of such artificial intelligence softwares that can be adapted to any analyzer across the world.
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