Outpatients receive medical treatment without being admitted to a hospital. They are not hospitalized for 24 hours or more but visit hospital, clinic or associated facility for diagnosis or treatment [1]. But the problems of keeping their records for quick access by the management and provision of confidential, secure medical report that facilitates planning and decision making and hence improves medical service delivery are vital issues. This paper explores the challenges of manual outpatient records system for General Hospital, Minna and infers solutions to the current challenges by designing an online outpatient's database system. The main method used for this research work is interview. Two (2) doctors, three (3) nurses on duty and two (2) staff at the record room were interviewed. Fifty (50) sampled outpatient records were collected. The combination of PHP, MYSQL and MACROMIDIA DREAMVEAVER was used to design the webpage and input data. The records were implemented on the designed outpatient management system and the outputs were produced. The finding shows these challenges facing the manual system of inventory management system. Distortion of patient's folder and difficulty in searching a patient's folder, difficulty in relating previous complaint with the new complains because of volume of the folder, slow access to patient diagnosis history during emergency, lack of back up when an information is lost, and preparation of accurate and prompt reports make it become a difficult task as information is difficult to collect from various register. Based on the findings, this paper highlights the possible solutions to the above problems. An online outpatient database system was designed to keep the outpatients records and improve medical service delivery.

This paper presents the failure and repair simulation for electric power house with N Turboalternator, where N may be up to 32. The program employs a pseudo-random number generator for individual power plant that can be described by exponential probability density functions. The resulting sequences of failure and repair events are then combined for the plants to give scenarios for different time horizons. The implementation in Excel ®-VBA includes an appropriately designed userform containing the macro Active-X control for input of relevant information. The result shows that as the number of samples increased the behavior of the random events better represented the desired form with a correlation of almost 99% for 25 trials. This corresponds to a confidence interval of better than 95% and hence should be used as the median for practical applications. The results were tested and the distributions of the events were found to be close approximation of the target exponential distributions.

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