Development of an Expert System for Outpatients

Abstract

Outpatient care plays a crucial role in modern health care, often involving diagnosis, treatment, and follow-up care outside of hospital settings. The complexity of outpatient care coupled with the need for efficient and accurate decision-making, makes expert system a valuable tool for healthcare providers. The system aimed at the development of an expert system that leverages in artificial intelligence and medical knowledge to assist healthcare professionals in diagnosis. Evaluating the system’s ability to provide timely and accurate treatment recommendations, analyzing the user-friendliness of the system’s interface for healthcare practitioners and optimizing workflow processes are also captured. A thorough system study and investigation were done and data collected via interview; analysis about the current system using document and data flow diagrams was carried out. The methodology adopted is Top Down Model approach. Data flow, Entity Relationship diagram, Laravel (which is a dynamic PhP frame work) were the tools used for the development of the software. This work’s finding underscores the potential of expert system to enhance outpatient healthcare by improving diagnostic accuracy and facilitating evidence-based treatment decision. Evaluation with target users depicted that the system is efficient and user friendly.