Design and Implementation of Data Mining for Medical Record System. (a Case Study of Owerri General Hospital)
CHAPTER ONE
OBJECTIVE OF STUDY
Objectives of this research work are to:
- Create a data warehouse for storage of patient‟s information thereby eliminating manual file storage of patient‟s records.
- Design a good data mining tool that will help in easy retrieval of patient information thereby reducing time wastage and improve service delivery.
- The data mining tool will be able to discover hidden pattern in large volume of data which will help in good decision making.
CHAPTER TWO
LITERATURE REVIEW
INTRODUCTION
In the early 1990s some sectors of the computer science community were developing the idea of understanding as a discovery-driven, systematic and iterative process. This “Data Mining” Research and development area was expected to take advantage of the expansion of traditional statistical analysis and database management strategies. The main goal was to identify relevant, interesting and potentially novel information pattern and relationships, in large data to support system in areas such as finance (E.g. credit approval and fraud detection application), marketing and sales analysis (E.g. shopping patterns and sales prediction) were showing a great deal of enthusiasm about the business value of data mining applications. During the next few years international conferences, journals and books were more frequently reporting advances, tools and applications of other areas such as biomedical informatics, engineering, physics, law enforcement and agriculture.
Today, Data mining has become a fundamental research topic in the progression of computing applications in health care and biomedicine. Advances in data mining have applications and implications in areas ranging from information management in healthcare originations, consumer health informatics, public health and epidemiology, patient care and monitoring systems, large-scale image analysis to information extraction and classification of scientific literature. Approaches, techniques and applications associated with data mining has also significantly supported different data understanding and decision support tasks in bio-signal
processing, Such as the classifications, visualization and identification of complex relationships between diagnostic variables or groups of patients.
Data mining is an inter-disciplinary subject formed by the intersection of many different areas, researchers in knowledge acquisition, artificial intelligence, machine learning, statistics, spatial database, and data visualization have also shown great interest in data mining. Since data mining poses many challenging research issues, direct applications of methods and techniques developed in related studies of machine learning, statistics and database systems cannot solve these problems, it is necessary to perform dedicated studies to invent new data mining methods or to develop integrated techniques for efficient and effective data mining. In this sense, data mining itself has performed an independent new field. The database research community has observed that data mining, together with warehousing and data repositories, is a new use of database technology, which are considered as important areas in database research.
CHAPTER THREE
SYSTEM ANALYSIS AND DESIGN
INTRODUCTION
Although research into the study of the manual process of medical record system, which includes control record keeping, access to vital information and diagnosis; has shown some lapses, this project work attempts to minimize if not eradicate problems encountered by Doctors and other medical personnel being a tool of assistance to them. To achieve this standard, data mining for medical record system will be applied.
Before we proceed, we have to look into a system investigation.
System: This may be seen as a group of unit or as an arrangement of many parts. It could be in terms of machines that work together as a whole.
Investigation: It can be seen as a process of examining or inquiring facts into something carefully.
Therefore, from the above statement or definition given, system investigation can be define as a method of carrying out feasibility study of a particular organization or environment as to discover impediments on the already existing and militating against the existing system.
Since data mining for medical record system will be applied in other to get the collection of patient record for easy analysis, processing of data for admitting sick patient as at when needed within the shortest possible time in admission and records and to reduce the manual method of admitting patient as a result of this high demand of computer operators and analyst.
The equipment and facilities must be noted in a way that will portray their relation to the system. Investigation was carried out on some of the forms, manuals, folders, records and files in Owerri general hospital and necessary information was gathered they include hospital cards, hospital folders, registration form, and admission / discharge forms.
CHAPTER FOUR
SYSTEM DESIGN AND IMPLEMENTATION
OVERVIEW OF DESIGN
The prpose of this chapter is to produce specification by the researcher, which will enable the user to use the new system easily without going to the designer for more information.
The input of the new system for a complete and concise basis for medical record system while the output contains the relevant information needed by the recording unit.
The principle of GIGO is applied that in Garbage in Garbage out. What you input into the system is what the system will bring out as output. Then if you input wrong data, wrong output will be realized. The researcher stands on the favourable side of the GIGO‟S principle, so every input and output design in the research work is accurate and relevant.
CHAPTER FIVE
SUMMARY, RECOMMENDATION AND CONCLUSION
SUMMARY
This started with introducing the background of the study, statement of the problem, objective of the study, scope of study and the significant of the study. This project work went further to study the related literature review, the existing system was analyzed in order to discover the weakness that existed within the establishment. These include difficulties in retrieving patients information, duplication of patients number and solution was also made in order to curb this illness in the establishment. After all these, the justification for data mining was also suggested; the reasons why the existing system should be computerized were made known to the organization.
Infact, if implemented according to the given instructions would serve as an aid to eliminate all constraints in the manual system presently being faced in Owerri General Hospital.
Furthermore, there was a look into design of the new system, analysis made on how the new system will take care of the enumerated problems in the new system and these were taken care of.
Finally, documentation was also provided in case there is need for future changes. Above all, there was also user‟s documentation which will serve as a guide to anybody that wants to use the package.
REVIEW OF ACHIEVEMENT
This system has been tested and found to achieve the following:
- Creation of a data warehouse for storage of patient‟s information thereby eliminating manual file storage of patient‟s records.
- Design of a good data mining tool that helps in easy retrieval of patient information thereby reducing time wastage and improve service
- The data mining tool can discover hidden pattern in large volume of data which helps in good decision
AREAS OF APPLICATION
This work can be used in large different medical hospital and large database organization.
SUGGESTION FOR FURTHER STUDIES
A potential researcher who might be interested in this topic in the nearest future to use any of the following high level languages, example C++, Java.
The researcher urge the management of Owerri General Hospital, to do all it can to have staff computer literate; this will make it easy for the hospital management to switch over to the new system instead of the present out dated out-of-fashioned manual system.
Finally, it can be redesign for use in a networked environment, and can also be upgraded in areas such as the pharmacy section, online registration and payment scheme.
RECOMMENDATION
The system designed can be used by other organizations which have large volume of data that needs to be retrieved from time to time to aid in easy retrieval and also help in discovering of hidden pattern that can be used for informed and intelligent decision making by management.
CONCLUSION
The existing system had been studied and the new one has designed from the analysis drawn after the design of the new system. There is no doubt that to design a new system, it has a lot of advantages over the existing manual system. The new designed system has helped in achieving the following:
- Patient‟srecords and reports are now easily retrieved with increased data
- The contact time between a Doctor and a patient in the needed informationby the doctor starting from the registration and consultation is highly reduced to its barest minimum. This is as a result of high processing speed of the
- An easy access to clinical reports for decision making and research purposeis assured.
- The amount of resources such as materials and money is reduced,hence covering cost of Medical
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