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  DOI Prefix   10.20431


 

International Journal of Research Studies in Computer Science and Engineering
Volume 2, Issue 9, 2015, Page No: 29-37

Clinical Database Information System for Gbagada General Hospital

Gregory Onwodi

CIT Unit, School of Science and Technology, National Open University of Nigeria.

Citation : Gregory Onwodi, Clinical Database Information System for Gbagada General Hospital International Journal of Research Studies in Computer Science and Engineering 2015, 2(9) : 29-37

Abstract

There is a need for the development of an efficient information system in our hospitals. Inefficient medical information systems, over time, have often resulted in manual operations, which in turn require more employees, and reduce the profitability of medical practices. Clinical Database Information System is not a new technology in the medical industry. In recent years, Clinical Database Information System has been implemented all around the world - Nigeria inclusive. Gbagada general hospital is a foremost hospital in Lagos. Some of processes in the hospital have been automated, but sophisticated features of the Clinical Database Information System need be included. In this paper, we have identified the need to develop Clinical Database Information System for Gbagada General Hospital. Some of the problems identified during our analysis were the issue of consultation report. This is a very vital feature that a system should provide. This makes it easier for another medical practitioner to evaluate medical condition of the patient. This system also allows for the tracking of patients' response to treatment. The primary information used for this research was obtained from Gbagada General Hospital. Secondary information was obtained from literature review of past researchers. The Water Fall methodology was adopted for the research. This is because Water Fall Model is suitable for the development and delivery of a high quality system at a relatively low investment cost. The front end of this system was developed using Portable Hypertext Programming (PHP) language. The back end was developed using Structured Query Language (SQL). Our major challenge in this research was access to information.


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