THE DEVELOPMENT OF SCREENING SYSTEM TUBERCULOSIS DISEASE BY USING INNOVATIVE ARTIFICIAL INTELLIGENCE IN KHUANKHANUN HOSPITAL

Abstract

This study aimed to 1) assess patient satisfaction with an artificial intelligence–assisted tuberculosis screening service using a mobile chest X-ray unit in Khuan Khanun District, Phatthalung Province; 2) compare satisfaction levels among service areas; and 3) examine the relationship between service areas and satisfaction levels. This research employed an analytical cross-sectional design. The sample consisted of 307 participants who received tuberculosis screening services, selected using a convenience sampling method.

The research instrument was a structured satisfaction questionnaire. Satisfaction was initially measured on a five-point Likert scale and subsequently categorized into high satisfaction (scores 4–5) and low satisfaction (scores 1–3). Data were collected from six service areas: Channa, Ban Khao Thong, Ban Sai Yuan, Pantae, Medical Center, and Ton Duan. Descriptive statistics including frequency, percentage, and 95% confidence interval were used to summarize the data. The Chi-square test was applied to examine the association between service areas and satisfaction levels, and Cramer's V was calculated to determine the effect size. The results showed that most participants reported high satisfaction (287 individuals; 93.49%), while 20 participants (6.51%) reported low satisfaction. Most service areas demonstrated 100% high satisfaction, whereas the Medical Center had the highest proportion of low satisfaction (21.43%). The Chi-square analysis indicated a statistically significant association between service areas and satisfaction levels (χ²(5)=39.936, p<0.001). The effect size measured by Cramer's V (0.361) indicated a moderate association between the variables. These findings suggest that service location plays an important role in determining patient satisfaction with AI-assisted tuberculosis screening services delivered via mobile chest X-ray units.