Computerisation Of Medical Diagnosis Information System
ABSTRACT
This project is a computer-based application that can help medical practitioners in documenting diagnosis records and patients’ medical history in a well-protected and structured database-oriented program.
Among the objectives of this application is to solve the problems that are usually encountered in many hospitals and medical centers in relation to the diagnosis of diseases.
Therefore, some of the high cost and complex procedures that are formally used before in diagnostic mechanisms are hoped to be simplified and subsidized with the implementation of the computer-based system for medical diagnosis.
The program for this project was developed with visual basic 6.0 and Microsoft Access database used as a backend for keeping users’ input.
TABLE OF CONTENTS
Title page
Certification
Acknowledge
Abstract
Table of contents
CHAPTER ONE: GENERAL INTRODUCTION
- Introduction
- Aim and Objectives of the study
- Significance of the study
- Methodology
- Scope and limitation of the study
- Definition of some terms
- Organization of the report
CHAPTER TWO: LITERATURE REVIEW
- Computer-aided diagnosis
- Applications of computer-aided diagnosis system
- A basic program for clinical problem-solving
- Computerization current state of the art
CHAPTER THREE: ANALYSIS OF THE SYSTEM
- Method of data collection
- Description of the current procedure
- Problems of the existing system
- Description of the proposed system
- Advantages of the proposed system
- Design and implementation techniques
CHAPTER FOUR: DESIGN, IMPLEMENTATION, AND DOCUMENTATION OF THE OF THE SYSTEM
- Design of the system
- Output design
- Input design
- Database design
- Procedure design
- Implementation of the system
- Hardware requirements
- software requirements
- Documentation of the system
4.3.1 Program installation
4.3.2 Starting/running the program
4.3.3 Maintenance of the program
CHAPTER FIVE: SUMMARY AND CONCLUSION
- Summary
- Experienced gained
- Recommendations
- Conclusion
References
APPENDICES:
- Program flowchart
- Source program listings
- Computer sample outputs
INTRODUCTION
The diagnostic proficiency of general practitioners concerning convulsive and psychomotor disorders of epileptic origin is usually poor, particularly in developing countries. Thus, in order to provide a decision and learning tool for these cases, we have developed a computer program to automatically evaluate and classify patients with potentially epileptic episodes.
The program combines forward and backward-chaining techniques, first to present relevant questions about the patient to the attending physician; following this it tries to ascertain whether the episode is of epileptic origin. Later on, it proposes one or more feasible classifications for the episode, using uncertainty factors. (Wood, 1992)
In general, the medical diagnosis system promised to take in information and analyze it as a clinician would, making a diagnosis of syndromes, and deciding on treatment. Over time, these programs were more likely to be used in the context of training rather than daily clinician use.
The application of artificial intelligence will allow for rapid and automated detection and classification of abnormalities. (Kuutti, 1992) Recent developments in computer technology have raised expectations that fully automated diagnostic instruments will become available to diagnose diseases with little or without the need for human expertise.
REFERENCES
Blume W, Lüders H, Mizrahi E, Tassinari C, van Emde Boas W, Engel J (2001). “Glossary of descriptive terminology for ictal semiology: report of the ILAE task force on classification and terminology”. Epilepsia 42 (9): 1212–8..
Frazão L. U. M., Guerreiro L. C. and Renato M. E. Sabbatini (2011). An Expert System For Classification Of Epileptiform Episodes. Dept. of Neurology, Faculty of Medical Sciences, and Center for Biomedical Informatics, State University of Campinas, Brazil.
Fisher R, van Emde Boas W, Blume W, Elger C, Genton P, Lee P, Engel J (2005). “Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE)”. Epilepsia 46 (4): 470–2.
Kaptelinin, V. (1992a). Human computer interaction in context: The activity theory perspective. In J. Gornostaev, ed., Proceedings of EWHCI’92 Conference. Moscow: ICSTI.
Kaptelinin, V. (1992b). Can mental models be considered harmful? In Proceedings of CHI’92. Short talks and posters. Monterey, Calif.: CA: ACM.
Kuutti, K. (1992). HCI research debate and activity theory position. In J. Gornostaev (ed.), Proceedings of the EWHCI’92 Conference. Moscow: ICSTI.
Monk, A., Nardi, B., Gilbert, N., Mantei, M., and McCarthy, J. (1993). Mixing oil and water? Ethnography versus experimental psychology in the study of computer-mediated communication. In INTERCHI’93 Conference Proceedings. Amsterdam: ACM.
Trost LF, Wender RC, Suter CC, Von Worley AM, Brixner DI, Rosenberg JH, Gunter MJ (2005). “Management of epilepsy in adults. Treatment guidelines”. Postgraduate Medicine 118 (6): 29–33.
Wood, C. (1992). A cultural-cognitive approach to collaborative writing. In Human Computer Interaction: Tasks and Organizations. ECCE 6 Conference Proceedings. Balatonfured, Hungary: EACE.
