IDC released a report: the application of clinical decision support system shows the trend of multi-point flowering

On May 3th, 222, IDC recently released the report "Market Insight of Clinical Decision Support System in China" (IDC#CHC48581722), which summarized the product development and market development of China Clinical Decision Support System (CDSS), analyzed the development power and application status of CDSS, and made a prospect for the future trend of CDSS.

The report shows that the clinical decision support system (CDSS) has basically established the data management ability based on AI technology and an increasingly rich professional medical knowledge base, and has the production capacity of large-scale medical insight. The functions and functions of the clinical decision support system (CDSS) are expanding from basic auxiliary diagnosis and auxiliary treatment to medical quality control, medical risk management, standardized treatment of diseases and other fields, showing a multi-point flowering trend, and showing application potential in many aspects.

The development prospect of CDSS attracts more manufacturers. From the perspective of technology and medical specialty, CDSS is forming a certain entry threshold. First of all, CDSS needs to use professional big data technology and cutting-edge artificial intelligence technology, and needs to establish a team with professional skills, with a relatively large initial investment; In addition, CDSS is also a medical professional system, which also needs professional medical knowledge and medical talents, and needs a long period of accumulation. Therefore, the advantages established by manufacturers in the above two aspects are forming barriers to some extent.

The report analyzes the mainstream CDSS manufacturers, including those who focus on CDSS, such as Baidu Lingyi Zhihui, Huimei Technology, Ping An Smart Medical, etc., as well as medical big data manufacturers such as Jiameikang, Senyi Intelligent, Yiduyun, etc., and hospital core system (HIS) manufacturers such as Weining Health.

CDSS-focused vendors usually establish data governance platforms, deeply apply AI technologies such as natural language processing, establish CDSS technical architecture and development capabilities, support various CDSS application development, and establish a certain first-Mover advantage.

medical big data vendors have the technology and practice of big data, and have the ability of system integration, data governance and CDR construction. On this basis, they have developed CDSS, which has advantages in the integrated solution of big data and CDSS.

Hospital core system manufacturers have the practice of information system construction for clinical application and a large number of hospital customers, have the ability to develop medical big data and CDSS, and have established CDSS applications. Such manufacturers have advantages in the application of CDSS applications.

IDC suggests that manufacturers should take the application level rating of electronic medical records and the evaluation of hospital information interconnection as a breakthrough to promote CDSS products to hospitals. At the same time, based on the knowledge base and clinical knowledge production capacity of CDSS, they should explore more fields of CDSS application, build a CDSS application system that is more suitable for clinical operation, organically integrate with hospital core management system (HIS) and electronic medical records (EMR), and develop medical institutions, specialist alliances and regional medical centers.

At the same time, the report also analyzes the case of CDSS in Peking University Third Hospital and a single-disease CDSS case in a 3A cancer hospital, and analyzes the construction and application of CDSS in hospitals, hoping to provide reference for the construction and application of CDSS in medical institutions.

Xiao Hongliang, senior research manager of IDC China, said: "In the future development, those vendors with comprehensive CDSS technology architecture development capabilities will gradually highlight their advantages, and those vendors who are good at exploring and developing innovative applications of CDSS will seize greater growth opportunities. It is suggested that medical informatization manufacturers establish a solid technical framework for CDSS system development, establish data governance technology platforms such as natural language processing and machine learning, continuously improve the technical level of data governance, build a professional medical knowledge base and continuously improve the enrichment and specialization of medical knowledge base, establish the leading ability in the professional and technical field of CDSS, and provide more and better clinical decision support for more hospitals. "

(Liu Liqing)