In contemporary society, the application of digital and intelligent technology in the field of medical and health continues to innovate, deriving applications such as Internet medical care, artificial intelligence-assisted diagnosis, health monitoring based on wearable devices, medical big data analysis, and data-driven smart management. The application of these technologies is profoundly changing the medical industry itself, as well as people's medical experience and health management methods.
While empowering the development of the digital health ecosystem, the innovation of digital intelligence technology has also brought severe challenges to medical institutions: First, with the rapid advancement of the construction of smart hospitals, a large number of originally isolated medical applications or equipment will realize extensive Interconnection, how to efficiently integrate and manage the data generated by these devices and applications through the business system will become the key to determining the effectiveness of the construction of the smart medical system. Medical institutions need to put the integration of business and data at the top-level design level. This means that medical institutions need to sort out the current medical information system and build a medical information architecture with sufficient scalability and agility.
Secondly, in the process of building a digital health ecosystem, medical institutions generally have the problem of weak foundations, which leads to the lack of a solid foundation for digital and intelligent transformation. cost. In addition, a large number of cumbersome systems rely on continuous "patching" to continue their lives, which can no longer meet the needs of innovation in the digital age of "Internet of Everything, Digital Twins, Intelligent Computing, and Open Sharing". Therefore, based on the same base, it is very important to open up internal management and external operations and realize an integrated digital and intelligent transformation.
Thirdly, the rapid innovation of digital intelligence technology means that medical institutions need to have a more forward-looking vision and actively adopt innovative technologies such as AIGC. For example, in the field of operations management, traditional post-event accounting has been replaced by real-time accounting based on data lake-based operational information processing, traditional value-based accounting has been replaced by multidimensional accounting, and traditional manual auditing and accounting have been replaced by intelligent auditing and automatic vouchers. replaced. Medical institutions need to strengthen the verification of these technologies to achieve high-quality development.
The digital health industry is an important field for the implementation of digital intelligence technology. Medical institutions need to explore a unique digital intelligence transformation model that combines their own advantages, reshape patient experience, deepen refined management, and drive sector linkage through cross-field data interaction to promote overall improvement. Medical institutions can promote digital and intelligent transformation through the following steps.
The first step is to rely on a unified base to build basic HIS, HOP and other information systems to realize smart medical care with electronic medical records as the core and smart management driven by data. The optimization of scientific research will eventually realize the rational allocation of medical resources and improve the experience of patients in medical treatment.
The second step is to increase the application of digital technology in medical business processes, realize regional interconnection, and expand the applications of smart emergency, smart clinical, smart nursing, and smart medical technology.
The third step is to build a strong foundation for the era of digital intelligence, strengthen investment in artificial intelligence, cloud technology, etc., use artificial intelligence technology, integrate medical big data and medical knowledge map construction, including cloud computing platform construction, smart operation management System, data disaster recovery backup and other construction.
The new generation of digital intelligence medical platform based on Yonyou BIP helps medical institutions to promote digital intelligence transformation. By optimizing core technologies and advanced concepts such as cloud-native, micro-services, middle-end concepts, and data-driven, we can provide large customers with better performance and customer experience, and are the first in the industry to cooperate with domestic mainstream chips, servers, operating systems, middleware, Domestic manufacturers such as databases have completed adaptation, and medical institutions have been accelerated to complete domestic value replacement. In addition, UFIDA has also attracted more ISVs and developers to join the digital intelligence medical ecology to jointly serve the digital intelligence transformation of medical institutions and promote the high-quality development of medical institutions.