Yaoli Tech Files IPO Prospectus: Empowering Physicians with Intelligent Data Services to Streamline Clinical Workflows
With the improvement of the medical innovation environment, domestic hospitals have witnessed a surge in demand for medical efficiency and healthcare data. However, in their daily work settings, hospital staff still manually perform a large volume of tasks such as data organization, entry, querying, and statistical analysis, while simultaneously shouldering responsibilities in clinical care, scientific research, teaching, and administration. Industry insiders note that there are over a hundred types of medical documents requiring physicians’ input, with documentation time accounting for a significant portion of their working hours.60%, and the duplication of patient records has imposed a heavy burden of repetitive tasks, which to some extent hinders the efficient development of China's healthcare industry.
Breaking through the bottlenecks in physicians’ career development and helping to “reduce their burden” are critical steps in advancing the development of China’s healthcare industry. Yaoli Technology is a technology innovation company dedicated to leveraging cutting-edge intelligent technologies to enable physicians to “complete complex tasks in a single step,” freeing them from routine, tedious, and cumbersome clinical work, and improving the efficiency of medical data utilization.
Yaoli Technology was established in July 2015 as China’s first medical technology service company specializing in the integration of clinical pathway data and data services for cardiology and obstetrics/gynecology. Its business spans multiple sectors, including intelligent systems, data services, supply chain transactions, and postoperative patient management. Xu Junjie, CEO of Yaoli Technology, told VCBeat: “As a former physician, I am well aware of the pressure that cumbersome and repetitive clinical tasks place on doctors. All of these challenges can now be addressed through professional, intelligent solutions.”
Yaoli Technology CEO Xu Junjie (Photo from the interviewee)
“Liberating physicians from mundane and complex daily clinical tasks, applying big data and artificial intelligence technologies to healthcare services, integrating them into everyday clinical workflows, unlocking the value of data, and improving medical efficiency—this is the goal of Yaoli Technology,” Xu Junjie told VCBeat.
McKinsey’s “Survey of the Best Employers in Chinese Medical Institutions (2016–2018)” shows that, compared with the 2016 and 2018 survey results, physicians have increased the time devoted to clinical care, while the time allocated to teaching and scientific research has slightly decreased. This indicates that clinical work continues to consume a substantial portion of physicians’ energy, thereby limiting their potential to engage in teaching and research. Although physicians at tertiary hospitals and those with senior professional titles are able to devote more time to teaching and research, the average remains less than one day per week.
Xu Junjie introduced that there are numerous application scenarios for medical big data, and due to the uniqueness and complexity of medical data, vast amounts of such data remain scattered across various business systems within the industry. This has resulted in many intra-hospital and inter-hospital data silos. The fragmented storage of information directly leads to greater time and effort expenditure by physicians during manual data collection, making it difficult to achieve a qualitative improvement in work efficiency.
Building on this foundation, Yaoli Technology focuses on single-disease medical data from specialties such as cardiology and obstetrics & gynecology to provide physicians with intelligent software tools. By leveraging big data technologies to enable efficient and intelligent analysis and processing of data for clinicians, the company enhances the utilization efficiency of medical data, thereby promoting the long-term development of cardiology and obstetrics & gynecology in China in areas including discipline construction, medical research, departmental management, and patient services.
When asked why he chose to start with the cardiology department, Xu Junjie stated, “My clinical and research work has been focused on cardiovascular interventional therapy and informatization, so I have a deep understanding of the pain points in cardiology.” After completing his undergraduate and master’s degrees in biomechanics in the United States, Xu Junjie went on to study clinical medicine and internal medicine (cardiovascular) at Peking University Health Science Center and Peking Union Medical College Hospital. During this period, he also ventured into multiple fields, including neurology, rehabilitation medicine, and finance, becoming a multidisciplinary professional. Cross-disciplinary expertise also became the standard for talent acquisition during the early stages of Yaoli Technology’s establishment.
According to reports, the team at Yaoli Technology comprises professionals from diverse fields including clinical medicine, telecommunications, computer science, finance, and mechanical engineering. The company has accumulated extensive practical experience in artificial intelligence and big data, along with substantial resources in vertical sectors and cross-industry collaborations. Over the past four years, Yaoli Technology has established a robust commercial loop encompassing data acquisition, data platform development, application scenario research, product and service refinement, and customer needs analysis. Currently, Yaoli Technology’s medical data terminal services have been effectively deployed in nearly 100 renowned Grade A tertiary hospitals across China, particularly in departments such as cardiology and obstetrics and gynecology.
Xu Junjie told VCBeat that Yaoli Technology has established a mature closed-loop service system in the field of single-disease management, encompassing data integration, data processing, and data insights. In this system, massive volumes of standardized structured data serve as the foundation for all subsequent extended services, primarily manifested in two aspects: standardized structure and large-scale data integration.
Standardized structure is a fundamental requirement. In building its database, Yaoli Technology adheres to international standard database architecture models and complies with global data standards, such as ICD, SNOMED, UMLS, LOINC, and NCDR. By designing specialized medical informatics dictionaries based on clinical pathways, the company has created millions of standardized structured data variables, achieving comprehensive coverage of clinical pathway data and full integration of standardized data. This enables hospital data to seamlessly interface with domestic and international medical data standards.
Three Major Pathways to Achieve Massive Data Integration. First, Yaoli Technology establishes a data center that interfaces with traditional information systems and specialized diagnostic and therapeutic equipment, extracting text information into standardized structured data through natural language processing. Second, it enables real-time collection and entry of specialized clinical diagnosis and treatment data for single diseases, such as surgical procedures, operative courses, and surgical reasoning; the angiography interventional surgery reporting system alone has created thousands of standardized structured data dimensions. Third, through multi-center collaboration, it achieves unified data entry, standardized storage, and shared application across multiple centers.
If these two major aspects are likened to the product foundation of Yaoli Technology, then medical data terminal services represent the already-constructed high-rise building.
In the current medical ecosystem, significant challenges persist in the interactions among pharmaceutical and medical consumable manufacturers, hospitals, and patients, including information asymmetry, high labor costs, and limited communication channels. “The ultimate goal of medical big data is to optimize the service structure of the medical industry within the single-disease ecosystem through data analysis and application. Given the professionalism and uniqueness of single-disease data, the industrial value of massive standardized and structured data will be maximized under the premise of developing single-disease industries. This will facilitate information sharing and optimization within the single-disease industrial ecosystem.”
Xu Junjie introduced that, at present, the healthcare industry has received varying degrees of policy guidance and promotion in areas such as transparent procurement, medical consortiums, and smart healthcare. The aim is to strengthen the informatization of the healthcare system, optimize the distribution of medical resources, and improve the efficiency and quality of medical services. This inevitably requires integrated and synchronized advancement across the entire industry chain. With the pilot implementation of Diagnosis-Related Groups (DRGs) in China, there are higher requirements for the professionalism and specificity of data. Supported by professional medical data, substantial improvements will be achieved in departmental management, medical quality control, risk modeling, and health insurance cost containment.
Supported by a robust “data foundation” and bolstered by a professional team, Yaoli Technology has established an intelligent medical service system integrating clinical research management and quality control within just a few years. The company’s next step is to devote full efforts to developing intelligent technology services for single-disease industry ecosystems.