Development of an intelligent, knowledge-based hospital triaging system for desktop and mobile devices

• Main Author: Luta, Raphael Benedict G.
• Format: text
• Language: English
• Published: Animo Repository 2018
• Subjects: Triage (Medicine); Medical screening; Expert systems (Computer science); Knowledge acquisition (Expert systems)
• Online Access: https://animorepository.dlsu.edu.ph/etd_masteral/5435
• Institution: De La Salle University

This study developed a hospital triage system with machine learning algorithms and knowledge-based systems for desktop and mobile devices. Triaging is the process of determining the priority of the treatment of patients in a hospital. An intelligent system classifier was successfully trained using truth tables that were derived from the Emergency Severity Index. The knowledge-base of the system is able to store and allow access to the patients triage profiles. The profile consists of the patients name, age, gender, medical information, and triage category. A graphical user interface was created for the system, which includes several user experience features that make the system easier to use. The system was made into an application that can be used for desktop and mobile devices. The application was tried and tested out by registered nurses, who answered sets of questionnaires containing walk-in patient triage scenarios with the help of the application. From the analysis of the results of the testing of the triage application, it can be concluded that the triage application has a positive significant effect on the scores and the time that it took the nurses in answering the triage scenarios. The general feedback given by the nurses was that the application was easy to use, convenient, that the application made the triaging process faster and more continuous compared to the manual triaging process.