Clinical Decision Support System in Diagnosing Gynaecological Diseases

The purpose of the report is to explain the Clinical Decision Support System in Diagnosing
Gynaecological Diseases. Clinical Decision Support System (CDSS) in Diagnosing
Gynaecological Diseases. This CDSS can assistthe trainee doctors or medical in diagnosing types
of gynaecological diseases and treatment prescription for the patients who got problems with
gynaecology. The objective of the report is to give the overview about the background of the
system, problem statement, objectives and scope of study, methodology of work and also the
conclusion and recommendation.
As we know, throughout the evolution of medical technology the development of an efficient,
useful and practical clinical information system becomes a significant focus in health industry
today. The development of such system hopefully will help the intern to get the idea on
gynaecological disease and also can practise computerized clinical management. Therefore, the
clinical information system technology has become increasingly demand driven, in that the usage
of the systems will only increase as long as there is an acceptance of the new technology within the
environment..
Nowadays, the women health issues always highlighted because one of the major caused of
death is related to gynaecological diseases such as ovarian cancer, breast cancer and so forth. As
far as the health is concerned, the doctors or gynaecologist should play the main roles in
educating the women harmful of gynaecological diseases to their heath and giving good
treatment for them. This Clinical Decision Support System in Diagnosing Gynaecological
Diseases will become a "personal assistant' for the student in order to help them to traced and
diagnosed the diseases related to gynaecology. In other word, it helps to make better decision in
diagnosing.
The implementation of such Decision Support System(DSS) in medical fields gives lots of
advantages in order to manage the critical data and to get more information before making
decision especially related to human life. The author adopts the DSS concept in accomplishment
of this project. The output of the system perhaps can be a useful guide to the user to make
judgement and evaluation especially in diagnostic of diseases.