A Study on the Differential Diagnosis of Shoulder Arthrogram with the Application of Data Mining - Taking a Regional Hospital for an Example

• Main Authors: Hsieh hung chi, 謝宏其
• Other Authors: 黃維民
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/87315154608094897307

碩士 === 國立中正大學 === 資訊管理學系暨研究所 === 102 === Our implementation of the "National Health Insurance" in 1995, the medical needs of the people of this system for medical and health seeking behavior, the medical community ecology, socio-economic, as well as the overall development of the country have a profound impact. In order to improve the financial situation of health insurance, health care payment system department actively engaged in the reform, including the full implementation of the total payment system, expand the implementation of case payment, reasonable adjustments to payment standards and other policies, in order to reduce the financial burden on national health insurance. But the implementation of these policies in addition to limiting the development of the hospital also led to many problems. Under the 2002 regime began to use the total amount is limited, so the clinical implementation of medical business will generate crowding out effect, how to make more effective use of checks, making a limited amount of energy needed to take care of the patient will be more is the goal of each hospital efforts. The case study of hospital patients in outpatient orthopedic orthopedic patients in the average monthly amount of between about 1,500 to 2,000 people. And to make the shoulder of arthrography radiology patients about the average monthly number of patients 20-25. About 240-300 patients per year in this study statistical data 97 to 100 years, the number of patients studied in about 1,000 people.In this study, part of the data analysis is divided into two parts, the first part is to check the accuracy and differential diagnosis; second part was analyzed using logistic regression techniques, the use of information related (data association) model for data analysis to establish the prediction model. According to the first part of the examination of the negative rate of hospital accreditation threshold set at 50%, in the differential diagnostic accuracy studies to get consistent results for 57.7%, to reach the threshold of the set, and accompanied by the highest number is associated with spinal disease the diagnostic codes.In the second part of the logistic regression analysis to identify the most relevant results are analyzed by the diagnostic code is 727.61 and 715.9 and 715.9 and 840.4 the two groups, with the results obtained by analysis clinicians in clinical diagnostic logic is consistent . Keywords: Arthrography, logistic regression analysis, diagnostic codes