National Chin-Yi University of Technology Reports Findings in Health Informatics (Reducing abnormal expenses in national health insurance based on a control chart and decision tree-driven define, measure, analyze, improve and control process): Information Technology – Health Informatics

2023 SEP 28 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Business Daily -- New research on Information Technology - Health Informatics is the subject of a report. According to news reporting originating from Taichung, Taiwan, by NewsRx correspondents, research stated, “This study examined the cost of medical insurance for ‘sepsis’ treatment in Taiwan. We applied statistical tests, cost control charts, and C5.0 decision trees using the define, measure, analyze, improve and control (DMAIC) process to mine data on Diagnosis-Related Groups (DRGs) and clinics that reported expense anomalies and disposal costs.”

Our news editors obtained a quote from the research from the National Chin-Yi University of Technology, “Analyzing 353 valid samples (application fees) from four DRGs, 70 clinics, and 15 input variables, abnormalities in application fees for adults (age 18 years old) with comorbidities or complications was significant (95% confidence interval) in one DRG and nine clinics. Four input variables (ward charge, treatment fee, laboratory fee, and pharmaceutical service charge) had a significant impact. Improvements or controls should be prioritized for three clinics (Nos. 49, 44, and 14) and two input variables (treatment and laboratory fees).”

According to the news editors, the research concluded: “This model can be replicated to ascertain excess medical expenditures and improve the efficiency of medical resource use.”

For more information on this research see: Reducing abnormal expenses in national health insurance based on a control chart and decision tree-driven define, measure, analyze, improve and control process. Health Informatics Journal, 2023;29(3):14604582231203757. Health Informatics Journal can be contacted at: Sage Publications Inc, 2455 Teller Rd, Thousand Oaks, CA 91320, USA. (Sage Publications - http://www.sagepub.com/; Health Informatics Journal - jhi.sagepub.com)

The news editors report that additional information may be obtained by contacting Shui-Chuan Chen, Dept. of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung, Taiwan. Additional authors for this research include Yen-Chang Chen and Ying-Sing Liu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1177/14604582231203757. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Publisher contact information for the Health Informatics Journal is: Sage Publications Inc, 2455 Teller Rd, Thousand Oaks, CA 91320, USA.

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