EFFECT OF ARTIFICIAL INTELLIGENCE FOR TRIAGE, EMERGENCY DEPARTMENT, NAKHON PATHOM HOSPITAL

Authors

  • Warangkana Saisit Faculty of Nursing, Nakhon Pathom Rajabhat University
  • Chisanupong Saisit Emergency Nursing Department, Nakhon Pathom Hospital
  • Wassana Saisema Emergency Nursing Department, Nakhon Pathom Hospital
  • Bodeepat Worathitianan Emergency Department, Nakhon Pathom Hospital
  • เดช ธรรมศิริ Faculty of Management science, Nakhon Pathom Rajabhat University
  • Supoj Hengpraprohm Faculty of Science and Technology, Nakhon Pathom Rajabhat University
  • Kairung Hengpraprohm Faculty of Science and Technology, Nakhon Pathom Rajabhat University
  • Anunya Soponnark Faculty of Nursing, Nakhon Pathom Rajabhat University

Keywords:

effect, artificial intelligence, triage

Abstract

Triage involves classifying illnesses and determining the urgency of appropriate treatment. This quasi- experimental research, a two-group design to evaluate pre- and post-experimental results, aims to compare the accuracy of the triage and to compare the duration of health service between the control and experimental groups. Samples consisted of a control group of 22 emergency patients receiving normal triage and an experimental group of 22 emergency patients were using triage artificial intelligence. The samples were divided into these two groups based on matching the criteria in order to control the intervening variables and to select a purposive sampling. Data collected the outcome record of triage accuracy and time utilization. The collected data was analyzed by percentage, mean, standard deviation and the Wilcoxon Signed Ranks Test.

The results of the study indicated that: 1) The triage accuracy in the experimental group was significantly higher than that of the control group (p = .003). 2) The period of service, i.e. duration of treatment, patient discharge period, and the waiting time for treatment, in the experimental group was significantly higher than that of the control group (p < .000, < .000, .001).

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References

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Published

2023-04-25

How to Cite

Saisit, W. ., Saisit, C. ., Saisema, W. ., Worathitianan, B. . ., ธรรมศิริ เ. ., Hengpraprohm, S. ., Hengpraprohm, . K. ., & Soponnark, A. . (2023). EFFECT OF ARTIFICIAL INTELLIGENCE FOR TRIAGE, EMERGENCY DEPARTMENT, NAKHON PATHOM HOSPITAL. Community Health Development Quarterly Khon Kaen University, 11(2), 133–145. retrieved from https://he05.tci-thaijo.org/index.php/CHDMD_KKU/article/view/6937

Issue

Vol. 11 No. 2 (2023): April - June 2023

Section

Original Article

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