A Mobile Application Based Optimized Out-Patient Emergency Request Model
Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.13, No. 2)Publication Date: 2024-04-07
Authors : George E. Okereke Uchechukwu Agomuo Stephenson C. Echcezona George B. Akuchu Caroline N. Asogwa Joshua B. Agbogun;
Page : 44-52
Keywords : Health emergency; Hungarian algorithm; location tracking matching algorithm; mobile App;
Abstract
This paper developed a mobile APP called Health Emergency Request APP (HER-APP). The App sends out-patients‘ emergency request to any closest health personnel within a particular location and matches a patient to a particular health personnel for immediate attention. We observed that the process of responding to out-of-hospital emergencies after a crisis have faced a lot of communication challenges between patients and the nearest healthcare personnel especially in Nigeria. There is also a problem of assigning a patient to the most qualified health personal for better care. This has resulted in increased mortality even when such emergency could better be handled. It becomes compelling to develop a mobile APP that allows a seamless communication between patient under emergency and the nearest medical expert with medical facility to save lives prior to the full engagement of the attention of a medical doctor or ambulance. This emergency request service-oriented mobile application helps patients contact any closest health personnel within a particular location using a location tracking service. The mobile application implements a matching algorithm between patients and responders, and assists people in emergency to get quick pre-clinical treatment. It uses an optimized service-oriented architecture which reduces the communication process between a patient in an emergency and the doctor or responder using a Google global positioning system as a location tracking service to helps track a patient requesting for assistance as well as all available responders. The APP uses location factor to determine a model to enhance the system on a large scale basis to provide a dispatch method to allocate patients to responders. This paper enhanced the Hungarian model and determines the best patient-responder match. The mobile APP is available at www.github.com/magnifikuc
Other Latest Articles
- A Comparative Study of Transformer-based Models for Text Summarization of News Articles
- THE IMAGE OF RUSSIA IN THE LANGUAGE CONSCIOUSNESS OF RUSSIAN AND CHINESE STUDENTS ACCORDING TO THE DATA OF ASSOCIATIVE EXPERIMENTS (QUANTITATIVE ANALYSIS)
- INNOVATIVE DIGITAL TECHNOLOGIES IN MULTILINGUAL TEACHING OF FOREIGN STUDENTS
- A CASE STUDY OF A STUDENT PROJECT: USING ARTIFICIAL INTELLIGENCE TO DEVELOP AN INDIVIDUAL PROGRAM TO STUDY ENGLISH
Last modified: 2024-04-19 21:43:25