Efficiency and effectiveness of real-world diabetic retinopathy screening by artificial intelligent (AI) are limited. Investigators will implement AI for diabetic retinopathy screening in 13 health districts in Thailand and investigate the efficiency, effectiveness as well as patients and health care personnel's satisfaction by an implementation research.
Study Type
OBSERVATIONAL
Enrollment
34,500
Screening diabetic patients' eyes with AI through digital health platform
Screening diabetic patients' eyes by conventional method (healthcare personnel)
Effectiveness of AI in diabetic retinopathy screening
Referral adherance of patients in AI group in percentage
Time frame: Throughout the whole period of screening, approximately 6 months
Efficiency of AI in diabetic retinopathy screening
Down time and failure rate of AI system
Time frame: Throughout the whole period of screening, approximately 6 months
Efficiency of AI in diabetic retinopathy screening
Cost in development and implement of AI system in Thai baht unit
Time frame: Throughout the whole period of screening, approximately 6 months
Satisfaction of patients and health care personnel in AI-based screening
Measurement of health care personnel's satisfaction by well-developed questionnaire
Time frame: At the end of the screening, approximately at Month 6
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