The model for finding new tuberculosis patients in the community by X-Ray mobile with artificial intelligence; AI, Health Region 4
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Abstract
This study was a research and development approach and the objective was to study and present a model for detecting new tuberculosis patients in the community using a mobile X-Ray Artificial Intelligence (AI), Health Region 4. It also the issues problem and solutions associated. The sample groups included managers and staff involved in proactive tuberculosis screening activities. The study involved data collection, observing management patterns, repeated screening of new tuberculosis cases, responsibilities of those in charge, and in-depth interviews with managers and staff participating in the active case finding activities in the community. Tools were reviewed by three different experts with varying expertise. The research duration is from October 2022 to June 2023. The research area comprised of eight targeted locations in the Health Region 4, selected by the responsible tuberculosis personnel at the provincial health office. Quantitative data was described by descriptive statistics Qualitative data was analyzed via interpretation and content analysis. The study results show that the proactive tuberculosis patient detection model in the community using a mobile X-ray Artificial with an Intelligence (AI) system that can find two tuberculosis cases in the community. and help isolate people at risk of tuberculosis in the community. The community received 151 cases from 2,113 investigators within 8 days (average 264-265 cases per day). The recommendation is that public health agencies, along with local government organizations, should implement and expand the AI-driven proactive tuberculosis patient detection model to cover seven target groups that need to be screened for tuberculosis in the community.
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