ABSTRACT
With the reform of medical insurance payment mode and the promotion of medical insurance policy, medical insurance management has become the core of public hospital operation and management. According to the business scenario of medical insurance management in public hospitals, medical insurance intelligent management can be divided into three levels: automatic medical insurance intelligent management engine based on rules, digital medical insurance management assistance based on dialogue user interface and hospital medical insurance management brain based on deep learning. In August 2020, under the requirements of hospital intelligent management standards, a tertiary hospital broke through the traditional medical insurance management mode to launch the practice of digital enabled panoramic scene intelligent management of medical insurance, which included medical insurance intelligent business audit, medical insurance intelligent reconciliation, medical insurance intelligent cost control and medical insurance intelligent management cockpit. These measures had realized the intellectualization and standardization of medical insurance management and improved the overall operation efficiency of the hospital.
ABSTRACT
Strengthening the supervision over the use of large-scale medical equipment is an effective means to improve the efficiency of equipment use and the quality of medical services, and it is an important part of promoting the construction of the Healthy China and the development of health undertakings. Through four stages of preliminary demand investigation, intelligent collection of data, intelligent analysis and evaluation, and continuous improvement, a large-scale medical equipment intelligent management platform was built in our hospital. Real-time data collection, interconnection, analysis and evaluation were achieved, which could help the use and supervision, improve efficiency and effectiveness, and optimize the evaluation system.