英文摘要 |
Taiwan's Bureau of National Health Insurance (BNHI) has planed to implement inpatient DRGs payment system scheduled effective in January of 2008. Many hospital managers urgently invent initiatives to decrease impacts of DRGs. Prediction of everyday medical fee in a hospital for a patient deserves more studies. Unexpected high fee should be submitted to attending physicians for possible deficits under DRGs. In this study, we proposed three alternatives of regression prediction models and examine their quality and accuracy using simulation data. Sensitivity and specificity with areas under the ROC curve (AUC) were used to determine the accuracy of these alternative models. A diagram that can be produced in ten seconds was shown to illustrate how a medical individual fee beyond expectation can be detected from Rasch (1960) model's residual analysis. Microsoft DOS and Windows shell commands that bridges Excel and BNHI DRG grouper and Rasch's WINSTEPS software were developed to facilitate efficacy and effectiveness in management of patient's hospitalization cares under DRGs. The effects on costs of medical care with computer-generated informational messages directed to physicians in hospitalization are foreseen and expected. The effect of Rasch residual analysis was as high as 76% in terms of reimbursement deduction with prompt onto any at least one item medical fee. The most prompt effect of residual analysis was medical examination, followed by drug consumption and medical materials. |