Development of an Expert System for Reducing Medical Errors

Abstract

Recent advances in patient safety have been hampered by the hard dealing with the development of a uniform classification of patient safety concepts in a systematic way. Therefore, many believe that medical expert systems have great potential to improve health care. A framework for computer-based medical errors diagnoses of primary systems' deficiencies is presented. Results of this research assisted in developing the hierarchical structure of the medical errors expert system which was written and complied in CLIPS. It has 225 rules, 52 parameters and 830 conditional paragraphs. The system prompts the user for response with suggested input formats. The system checks the user input for consistency within the given limits. In addition, the system was validated through numerous consultations with the experts in the field. The benefits that are gained from such types of expert systems are eliminating the fear from dealing with personal mistake, and providing the update information and helps medical staff as a learning tool.