Crowding and Over crowding Detection Management in Emergency Department Using Expert System

Providing service for patients in a rapid and efficient manner is one of the main issues in concern to Emergency Department. Due to the imbalance between needs and the capacity of providing service, ED faces an emergency situation. In this paper, through the use of information gathered from related literature, an expert system has been designed in order to detect ED crowding and overcrowding and provide appropriate solutions in order to return to a normal situation. In relation to this matter, NEDOCS has been used as an indicator. According to the value of NEDOCS the status of ED can be categorized in six groups consisting of normal, crowded, overcrowded, dangerous and disaster classes. Furthermore, based on the situation of ED and in accordance to related literature, proper solutions are provided by the proposed expert system in order to overcome the adverse status. EDCD management system consisting of 30 rules provides the mentioned solutions based on interactions with users, referral to knowledge base and necessary inferences via user interface. Results indicate 81 percent compatibility between solutions provided by the proposed system and those proposed by experts

Keywords:

Emergency Department , Crowding and Overcrowding , NEDOCS , Solutions , Expert System