Accuracy and efficiency of computer-aided nursing diagnosis.

PURPOSE: This study aims to determine whether a computer-aided nursing (CAN) diagnosis system improves diagnostic accuracy and efficiency. METHODS: A randomized crossover trial was performed using two kinds of case studies with 42 nurses as subjects. The subjects were divided into a group using the CAN diagnosis system and a group using a handbook of nursing diagnosis. Degree of accuracy was judged by using Lunney's seven-point interval scale, while efficiency was evaluated by time required for diagnosis. FINDINGS: There was no significant difference between the two groups in terms of diagnostic accuracy; however, time required for diagnosis was significantly shorter for subjects who used the CAN diagnosis system than for those who did not. Multiple regression analysis showed that the use of the CAN diagnosis system was the only factor associated with the time required for making the nursing diagnosis. CONCLUSIONS: The use of the CAN diagnosis system improved the efficiency of the diagnostic process without reducing the level of accuracy of nursing diagnoses. PRACTICE IMPLICATIONS: The use of a computerized system should be a useful tool for implementation of standardized nursing terminologies.

Development of a simulation program for estimating hospital incomes under the prospective payment system.

A prospective payment system based on diagnosis procedure combination (DPC/PPS) was introduced to acute care hospitals in Japan in April 2003. In order to increase hospital income, hospitals must shorten the average length of stay (ALOS) and increase the number of patients. We constructed a simulation program for evaluating the relationships among ALOS, bed occupation rate (BOR) and hospital income of hospitals in which DPC/PPS has been introduced. This program can precisely evaluate the hospital income by regulating the ALOS and the number of patients for each DPC. By using this program, it is possible to predict the optimum ALOS and optimum number of inpatients for each DPC in order to increase hospital income.

Actual and estimated costs of disposable materials used during surgical procedures.

It is difficult to estimate precisely the costs of disposable materials used during surgical operations. To evaluate the actual costs of disposable materials, we calculated the actual costs of disposable materials used in 59 operations by taking account of costs of all disposable materials used for each operation. The costs of the disposable materials varied significantly from operation to operation (US$ 38-4230 per operation), and the median [25-percentile and 75-percentile] of the sum total of disposable material costs of a single operation was found to be US$ 686 [205 and 993]. Multiple regression analysis with a stepwise regression method showed that costs of disposable materials significantly correlated only with operation time (p<0.001). Based on the results, we propose a simple method for estimating costs of disposable materials by measuring operation time, and we found that the method gives reliable results. Since costs of disposable materials used during surgical operations are considerable, precise estimation of the costs is essential for hospital cost accounting. Our method should be useful for planning hospital administration strategies.