Development Of Medical Expert System Research Articles

Point-of-care-Recherche in der Hausarztpraxis – Ergebnisse einer Befragung von Fachärzt*innen und Ärzt*innen in Weiterbildung

BackgroundSpecific questions often arise in the context of consultations regarding, for example, diagnostics and therapeutic management. This case-specific search for information is referred to as point-of-care information. In recent years, it has been influenced by an increase in digitalization and by the development of medical expert systems providing information for medical professionals. Data on the search behavior of German general practitioners (GPs) using digital media for obtaining point-of-care information have so far not been available. The aims of this study were to describe occasion-related point-of-care information as a function of the continuing education status and to identify requirements for online research platforms. MethodsIn a cross-sectional survey, 829 GP specialists (FÄ) and 475 physicians in training (ÄiW) were invited to answer a self-developed, partially standardized questionnaire. ResultsIn total, 356 questionnaires were returned (response rate: 27%). Of these, 241 (68%) were answered by FÄ and 110 (31%) by ÄiW; five participants did not provide information on their specialist status. 66% of the FÄ and 89% of the ÄiW look up information every day. 46% of the FÄ and 73% of the ÄiW use their smartphone for this purpose. Both groups most often search for medical content (94%) and for information on medications (84%). Medical expert systems are more often used by ÄiW than by FÄ; 59% of the FÄ and 82% of the ÄiW are willing to pay a fee for these services. A quick overview and relevance of information were perceived as important criteria for good information sources. DiscussionGerman GPs frequently search for occasion-related information. There are generation-related differences regarding, among other things, the use of and the receptiveness to fee-based expert systems. The clarity of presentation and the relevance of the information provided are important requirements of effective information platforms. ConclusionThe quick search for evidence-based information relevant to clinical practice presents a challenge, particularly in broad-range specialties such as general medicine. Web-based sources are becoming increasingly popular in this regard – a trend likely to intensify in future generations of physicians. This offers great potential for medical expert systems and app-based access to best-practice guidelines. These formats should be further developed in collaboration with scientific professional societies.

Development of Medical Expert System for the Management of Tuberculosis [TBMEX

Abstract TBMEX is a prototype management expert system which is highly helpful for the management and treatment of tuberculosis patients. Tuberculosis cannot be cured in a short duration. It is a contagious disease. Close monitoring and follow-up of the patient is needed for the control of the disease. Taking all the above facts into consideration, a medical expert system is developed for the management of tuberculosis. This expert system is responsible for the follow-up of the patients and ensures that the disease is controlled. TBMEX is developed in object oriented approach in C++ and uses object windows library(OWL) to derive the application level and window level behaviours that a windows application usually requires. This makes the package more user friendly to doctors.

Recent Trends in Medical Expert Systems

An overview of medical expert systems with various configurations, classifications and the worldwide status are discussed in this paper with a view to make an assessment of the future. The assessment presented includes some specific areas for further research and development. Based on the application it has been classified into various categories. New trends in the methodology of development of medical expert systems have also been discussed.

Role of Medical Expert Systems in Health Care in the Indian Context

In this article, the authors introduce a medical expert system aimed at assisting physicians in the diagnosis, treatment and management of diseases. Some medical expert systems which can be used in hospitals in India are listed. The list has been compiled on the basis of an elaborate review of medical expert systems from literature covering the period 1975-95. The authors give suggestions for exploiting medical expert systems to improve the health care delivery system in the country. Need for the development of medical expert systems for exclusive use of defence personnel is discussed.

Using the algebraic sum method in medical expert systems

In the development of a medical expert system, the choice of algorithms is an important consideration. According to 1979 statistics, some 60% of medical expert systems were based on the Bayes method, 30% were based on a linear discriminant function, matching handle and criterion tree, and 10% were based on other algorithms. Overall diagnostic accuracy rates were generally about 90%. Although the Bayes method has been used very widely, it has some limitations. Its two assumptions are difficult to satisfy in computer-assisted diagnostic systems, and it does not do well in solving the contradiction between the low frequency of a disease manifestation and the high specificity of the manifestation. A weighted summation method can better solve this problem, since the diagnostic value can be adjusted according to the real importance of each item of diagnostic information. weighted summation method has been widely used in the development of many medical expert systems, such as the earliest expert system of traditional Chinese medicine: The Computer Program for the Diagnosis and Treatment of Liver Disease Based on the Principle of Dialectical Treatment. It is concluded that the algebraic sum method is an efficient, simple, and convenient mathematical model for the development of medical expert systems.