Expert System for Poisoning


Problem Statement

The doctor to patient ratio is 1:80000, as of 2005, when the recommended ratio by the World Health Organization is 1:20,000. This is due to continuous efflux of professional health workers to developed countries for more favorable working conditions. One of the main concerns of the health care service providers is the unavailability of these domain-expert personnels specially in rural areas. This, in turn, deteriorates the quality of health care service in our country. Medical attendees are often faced by humane limitation of memory thus, a supervision of an expert is still essential in diagnosing. The problem in rural areas is the limited number of experts, who in some way are still human prone to mistakes, some experts find the repetitive job uninteresting which may affect his efficiency.


With an electronic device that can simulate the experts expertise on certain domains, medical attendees can be helped making decisions while the experts are not available. Experts who find the mundane task of diagnosing can let the electronic device do the job but in the end, he will still assess the decision made by the system and the decision still relies on him. Of course, he is an expert so it is expected that he can judge whether the system came up with a correct solution.

Our Goal

The basic goal of this project is to develop a clinical decision support system to provide patient-specific diagnosis and recommended treatments for poisoning cases.

ESP, a CDSS implemented as an expert system, can extend the reach of medical expertise even to under-served regions in our country if we can develop it suct that it:

  • can produce initial diagnosis in the absence of professional doctors in a time-constrained situation.

  • can serve multiple patients at the same time which a human expert is not capable of