Optimizing the MFlex monitoring system using Mahalanobis-Taguchi system

Abstract Methadone Flexi Dispensing Service (MFlex) has been officially re-branded from 1Malaysia (M1M) since 2nd January 2019. Patients under MFlex are frequently taking their methadone according to a plan provided by pharmacist at public clinic. From the dose monitoring taken annually, pharmacists can predict critical patients based on high monthly increases. However, current system is written documentation with total doses that cannot accurately measure addiction levels and slow down distribution process appropriate incentives as government. The main objective of this work develop new data evaluating all factors contributed level. Mahalanobis-Taguchi System (MTS) method predicting diagnosing performance using multivariate in order make quantitative decisions construction measurement scale an analytical method. results show minimum Mahalanobis Distance (MD) for healthy 0.2245 while maximum 2.3380. MD unhealthy 0.6077 24.5719 respectively. Thus, parameters blood, bilirubin, nitrite, specific gravity, leukocytes considered significant considering positive value signal-to-noise ratio (SNR) gain. Graphical user interface (GUI) developed analyzing normal abnormal detail. Meanwhile, mobile application decision-making tool classify either or abnormal.