May 30, 2022 IDC recently released the report, "China Clinical Decision Support Systems Market Insights" (IDC#CHC48581722), which summarizes the product development and market development of China's Clinical Decision Support Systems (CDSS), analyzes the dynamics of the CDSS system and the application status, analyzes the development dynamics and application status of CDSS systems, and gives an outlook on the future trends of CDSS.
The report shows that clinical decision support systems (CDSS) have basically established data governance capabilities based on AI technology and an increasingly rich professional medical knowledge base, and have the production capacity of scaled medical insights, and the functions and roles of clinical decision support systems (CDSS) are expanding from the basic areas of assisted diagnosis and assisted treatment to medical quality control, medical risk management, Disease standardized treatment and other fields, showing a multi-point blossoming trend, and in many aspects show the potential for application, is expanding to a wider and more professional medical field, to the direction of predictive medicine.
The development prospects of CDSS have attracted more vendors to enter, and from the perspective of technology and medical specialization, CDSS is forming a certain barrier to entry. First of all, CDSS is the need to use professional big data technology and cutting-edge artificial intelligence technology, the need to establish a team to master the professional skills, the initial investment is relatively large; in addition, CDSS is also a system of medical specialization, but also need to specialize in medical knowledge and medical personnel, and need a relatively long period of accumulation. Therefore, the advantages established by vendors in the above two aspects are forming barriers to a certain extent.
The report analyzes the mainstream CDSS vendors, including vendors that focus on CDSS, such as Baidu Ling Medical Intelligence, Huiji Technology, Ping An Intelligent Healthcare, etc., as well as medical big data vendors, such as Jiahe Meikang, Senyi Intelligence, Medical Cloud, etc., as well as hospital core system (HIS) vendors, such as Weining Health.
Vendors that specialize in CDSS usually establish a data governance platform, y apply natural language processing and other AI technologies, establish a CDSS technical architecture and development capabilities, support a variety of CDSS application development, and establish a certain first-mover advantage.
Medical big data vendors have big data technology and practice, with system integration, data governance and CDR construction capabilities, on the basis of which the CDSS was developed, this type of vendors have an advantage in big data and CDSS holistic solutions.
Hospital core system vendors have clinical application of information system construction practice and a large number of hospital customer base, with medical big data and CDSS development capabilities, the establishment of the CDSS application, this kind of vendors have the advantage of CDSS application of the landing application.
IDC recommends that vendors take the electronic medical record application level rating and hospital information interoperability assessment as a breakthrough to promote CDSS products to hospitals, and at the same time, based on the knowledge base and clinical knowledge production capacity of CDSS, explore more areas of CDSS applications, build CDSS applications that are more suitable for clinical operations, and do organic integration with the core management systems of hospitals, such as HIS and EMR. It can be organically integrated with core hospital management systems (HIS) and electronic medical records (EMR), and develop CDSS systems that are suitable for the processes and operations of healthcare organizations, specialty alliances, and regional medical centers, so as to enhance the market competitiveness of CDSS applications.
At the same time, the report also analyzes the CDSS case of the Third Hospital of Peking University and the single disease CDSS case of a tertiary specialized oncology hospital, analyzes the construction and application of CDSS in hospitals, and expects to be able to provide references and lessons for the construction and application of CDSS in medical institutions.
Hongliang Xiao, Senior Research Manager at IDC China, said, "In the future, vendors with comprehensive CDSS technology architecture development capabilities will gradually highlight their strengths, and vendors who are good at exploring and developing innovative CDSS applications will seize greater growth opportunities. It is recommended that healthcare information technology vendors establish a solid technical architecture for CDSS system development, set up data governance technology platforms such as natural language processing, machine learning, etc., continue to improve the level of data governance technology, build a professional medical knowledge base and continue to improve the enrichment and specialization of the medical knowledge base, establish the leading capability in the field of CDSS expertise, and provide more hospitals with more and better support for clinical decision-making.
(Li-Qing Liu)