ETT Medic: An Application for Minimizing Service Times and Waiting Queues of Medical Services in Hospitals

DOI: 10.14416/j.ind.tech.2021.05.001

Authors

  • Inthawadee Chantaksinopas Department of Electronics Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
  • Tanadate Chokaumnuy Department of Electronics Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
  • Sahapol Sampaotong Department of Electronics Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
  • Anusorn Chungtragarn Department of Electronics Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok

Keywords:

medical service minimizing, waiting queue reducing, mobile phone app

Abstract

This project aims to reduce the service time of public health services at government hospitals. In big cities, it can be seen that patients need to stay in a long queue and wait for a long time before receiving medical treatments. Many studies show that this problem comes from patients who suffer common diseases and no need to see doctors. These patients lead to overcrowding hospitals and long health service time problems. In order to tackle the problem, an android based self-medical assessment application is used. The application contains sets of the questionnaire which are similar to question sets used by a doctor to discover sickness. Therefore, people can exploit the app to check on their symptoms for the need of seeing a doctor. This will filter out the unnecessary cases at the hospital. Hence, reducing the health service time. The application is tested at Ban Phaeo Hospital RAMA II branch, which found that it may reduce unnecessary cases by 60%. The relationship between dropping in unnecessary cases and the health service time reducing is indicated by using a queueing model of the hospital, which see the health service time decrease from 33 minutes/person to 6 minutes/person. Thus, it is possible to apply this application to improve the health services in the hospital where the queue model is similar to the Ban Phaeo Hospital.

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Published

2021-05-16

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Section

บทความวิจัย (Research article)