An observational study in Diabetic Retinopathy, sponsored by Department of Medical Services Ministry of Public Health of Thailand. Status unknown. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-09-02.
Sponsored by Department of Medical Services Ministry of Public Health of Thailand · Observational
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.
815 studies on the registry are indexed under Retinal Diseases; 105 are open to participants now.
This study's planned enrollment of 34,500 is above the median of 180 across 282 observational studies indexed under Retinal Diseases.
Browse Retinal Diseases studies →Department of Medical Services Ministry of Public Health of Thailand is the lead sponsor of 36 studies on the registry; 10 are open to participants now.
Counted across the registry records on this site, refreshed daily.
All diabetes mellitus patients who visit for diabetic retinopathy screening at selected primary care units and hospitals in 13 health districts in Thailand
Exclusion Criteria:
Diabetes mellitus patients undergo diabetic retinopathy screening by AI
Diagnostic Test: Diabetic retinopathy screening by artificial intelligence
Diabetes mellitus patients undergo diabetic retinopathy screening by health care personnel
Diagnostic Test: Diabetic retinopathy screening by healthcare personnel
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
No study locations are listed for this record.
Plan to share: No — Fear of inappropriate use of data
No publications or documents are linked to this record.
This study is status unknown, as verified in Aug 2022. You cannot join it, but the record below documents what was studied.
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Department of Medical Services Ministry of Public Health of Thailand