Yuan-Huei Huang

Construction a Big Data Predictive Model to Analysis the Production Planning and Control Plan of Hospital Organization

Production planning and control decisions are based mainly on the results of the analysis of big data as a basis for effective data analysis can provide the most appropriate decisions. This study used the decision tree analysis implants implanted. Taiwan Diagnosis Related Groups (TW-DRGS) surgery a medical professional impact on revenue. In Taiwan, over the past 10 years, the National Health Insurance database to a Microsoft Structured Query Language (SQL) database analysis software for analysis and simulation. Used the gray theory to simulation analysis and forecasting, TW-DRG surgery medical costs for future changes. The results show that in the past few years, production growth trends, studies may provide in the future will produce what kind of cost impact results: 1. The hospitals operating costs and budget planning of Reference 2. Patients in the health insurance budget planning. 3. DRG policy revision surgery hospital costs.

Constructing a Data Mining Sensor to Classify Tw-DRGs Medical Specialties

This work applies decision tree analysis to construct a classification sensor for Taiwan’s diagnosis related groups (Tw-DRGs) of medical specialties. Inpatient expenses of 2009 in a national health insurance database were transformed to the SQL database analytic software for analysis and classification. DRG code is selected by the principal diagnosis code with the operating room procedures code. Selecting the combinations in accordance with National Health Insurance inpatient diagnostic related groups TW-DRG Classification Manual, resulting in repeated DRG codes. The study analyzes three medical classifications of Tw-DRGs implementations on 2009 to solve the DRG code appropriate attribution issues. Appropriateness and accuracy of the DRG code is an important influence to the medical payments. The results found that decision tree can effectively and quickly establish the DRG classification process.