Cost-effectiveness analysis of an artificial intelligence-assisted diagnosis and treatment system for gastrointestinal endoscopy
10.3760/cma.j.cn321463-20210804-00480
- VernacularTitle:消化内镜人工智能辅助诊疗设备的成本效益分析
- Author:
Jia LI
1
;
Lianlian WU
;
Dairu DU
;
Jun LIU
;
Qing WANG
;
Zi LUO
;
Honggang YU
Author Information
1. 武汉大学人民医院消化内科，武汉 430060
- Keywords:
Artificial intelligence;
Gastrointestinal endoscopy;
Auxiliary diagnosis and treatment system;
Cost-effectiveness analysis
- From:
Chinese Journal of Digestive Endoscopy
2023;40(3):206-211
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the cost-effectiveness of a relatively mature artificial intelligence (AI)-assisted diagnosis and treatment system (ENDOANGEL) for gastrointestinal endoscopy in China, and to provide objective and effective data support for hospital acquisition decision.Methods:The number of gastrointestinal endoscopy procedures at the Endoscopy Center of Renmin Hospital of Wuhan University from January 2017 to December 2019 were collected to predict the procedures of gastrointestinal endoscopy during the service life (10 years) of ENDOANGEL. The net present value, payback period and average rate of return were used to analyze the cost-effectiveness of ENDOANGEL.Results:The net present value of an ENDOANGEL in the expected service life (10 years) was 6 724 100 yuan, the payback period was 1.10 years, and the average rate of return reached 147.84%.Conclusion:ENDOANGEL shows significant economic benefits, and it is reasonable for hospitals to acquire mature AI-assisted diagnosis and treatment system for gastrointestinal endoscopy.
