The big data diagnosis-intervention packet payment method: experience from Shanghai and Guangzhou
10.3760/cma.j.cn111325-20201009-02012
- VernacularTitle:基于大数据的病种分值付费研究：来自上海和广州经验
- Author:
Su XU
1
;
Jinglei WU
;
Hua XIE
;
Li LIN
;
Qian ZENG
;
Xin CUI
;
Jianwei XUAN
;
Xiaohua YING
;
Yujia YANG
;
Yazhen YING
Author Information
1. 上海市卫生健康委员会 200125
- Keywords:
Big data;
Diagnosis-intervention packet;
Market mechanism;
Prediction model;
Process control
- From:
Chinese Journal of Hospital Administration
2021;37(3):186-190
- CountryChina
- Language:Chinese
-
Abstract:
Medical insurance payment model is transforming from project-based purchases to service bundle-based strategic purchases. The new form of bundled purchases should found on a scientifically-led design process of such bundles. The core to bundled purchase would be the payment standard, and the key to its success would be process control. Establishment of such a foundation, a core, and a key, would promote the current price standards, and lead service providers to a standardized medical service standard, so as to ensure a precise rewarding system of payment and service. The big data diagnosis-intervention packet(DIP)is able to fulfill mentioned ambitions by integrating insurance payment and supervision into one management. DIP is a full-process payment mode that encompasses pre-service estimation, in-service process control, post-service grading, and resource allocation. It is an innovative practice in line with China′s national conditions for the modern governance of medical security and medical services.
