Lead Medical Secures Tens of Millions in Series A Funding to Advance Healthcare AI Technology

Recently, medical technology service company Lida Rongyi announced the completion of its tens-of-millions-yuan Series A financing round, with investors undisclosed. In September this year, Yaoli announced a strategic brand upgrade and changed its name to Lida Rongyi. Building on its existing, relatively mature business operations, the company will accelerate market expansion in the healthcare data storage and application layers. The proceeds from this financing round will be primarily invested in the innovative research and development of foundational medical intelligence technologies.

In recent years, big data has gained momentum across various industries, with the value application of data becoming increasingly significant—from data aggregation to data fission. However, in the healthcare sector, which possesses vast amounts of data, most information resources remain “dormant” in databases. On one hand, non-standardized practices in data collection, storage, integration, and management have led to low data utilization rates. On the other hand, inconsistent data standards across departments and institutions have prevented effective matching of data supply and demand, creating entrenched “information silos.” This dormancy of medical data has directly impacted clinical diagnosis and treatment, scientific research projects, hospital management, and other areas to varying degrees.

According to incomplete statistics, 80% of medical data currently remains underutilized, directly forcing physicians to devote substantial manual effort and time to data organization in their daily clinical practice and research management. As highlighted in DXY’s report, “Survey: Physicians’ Workload Is Staggering, with Severe Levels of Fatigue,” in addition to spending 55% of their time on outpatient consultations, physicians dedicate over 40% of their time to numerous non-clinical tasks, such as administrative duties, continuing education, and attendance at forums and conferences. In fact, data, as the core empirical foundation for theoretical work, constitutes the most fragmented, incomplete, and urgently needed component amid these myriad complex responsibilities.

In 2015, Lida Rongyi was established, initially focusing on medical data to address data integration challenges in healthcare workflows and the industry-wide burden of operational complexity stemming from fragmented data systems.

Lida Rongyi pioneered the first specialized medical dictionary database, integrating three core domains—medical knowledge graphs, healthcare knowledge graphs, and clinical pathways. It seamlessly aligns with international data standards, gold-standard medical guidelines, and physicians’ clinical expertise, while adjusting data granularity based on actual clinical workflows. This unified system delivers comprehensive, standardized, and structured data integration across all clinical pathways, enabling one-time completion of all data collection tasks.

According to a McKinsey healthcare survey report, doctors average only one day off per week, and this situation has not improved over the past two years. Therefore, leveraging intelligent technology to enhance doctors’ daily work efficiency and reduce repetitive and trivial tasks is key to unlocking healthcare productivity. User testing feedback indicates that the system launched by Lida Rongyi can boost work efficiency by up to 90%, saving medical staff significant time in data collection.

Technology serves as an auxiliary tool for healthcare services; the core of medical technology lies in enabling technology to comprehend the professional language of medicine and clinical practice, and then integrating it into clinical care.

Lida Rongyi leverages cutting-edge technologies such as big data, artificial intelligence, and machine learning, integrating standards and expertise from medical knowledge graphs, healthcare knowledge graphs, and clinical pathways. It has independently developed Willow, a domestically leading intelligent medical processing technology that pioneers a suite of intelligent services—including intelligent text information processing, intelligent clinical data analysis, and intelligent management of the industrial ecosystem—all of which comply with domestic and international medical standards and meet the clinical needs of single-disease management.

In terms of data integration, Lida Rongyi further refines artificial intelligence technologies based on clinical pathways. It has separately designed and developed distinct intelligent operating systems for diagnosis and treatment, surgery, follow-up, and postoperative management. These systems include the Angiography Interventional Surgery Reporting System, the Clinical Diagnosis and Treatment Follow-up Record System, the Postoperative Patient Management System, and the Medical Data Analysis Service System. They cover the full cycle of medical data from patient admission through discharge to out-of-hospital rehabilitation. Furthermore, all system backends are interconnected, significantly ensuring data integrity in storage, retrieval, and usage.

In terms of data storage, Lida Rongyi has invested two years in researching and building a standardized data storage platform for single diseases within individual departments. Based on international standard database architecture models and adhering to international data standards such as ICD, SNOMED, UMLS, LOINC, NCDR, ACC/AHA, and ESC, the company designed medical specialty dictionaries according to clinical pathways and created millions of standardized structured data variables. This achieves full coverage of clinical pathway data and complete interconnection of standardized data, enabling seamless integration of hospital data with domestic and international medical data standards. It is currently the only structured data platform in China that provides comprehensive coverage of clinical medical data for single diseases in cardiology and obstetrics/gynecology.

Regarding medical data terminal services, Xu Junjie, CEO of Lida Rongyi, believes that the ultimate goal of healthcare big data is to optimize the service structure of the medical industry within the ecosystem of specific diseases through data analysis and application. By designing independent storage, analysis, and application mechanisms for disease-specific data, the professionalism of the data can be ensured, thereby integrating the upstream and downstream sectors of the supply chain for disease-specific information services. Currently, medical data is delivering greater value in multiple application scenarios, including operating room quality control, disease risk modeling, refined departmental management analysis, clinical decision support, and clinical trials for pharmaceuticals and medical consumables.

In Xu Junjie’s view, artificial intelligence and big data are highly specialized disciplines with their own distinct languages. The same holds true for medicine, which not only features strong specialization and a unique terminology but also encompasses a broader ecosystem spanning scientific research, management, clinical practice, quality control, and more. This demands that technology not only serve medicine and healthcare but also deeply understand their actual needs, supported by extensive theoretical knowledge and practical experience. In reality, however, the integration of these two “languages” is inherently challenging. Consequently, cross-disciplinary expertise became the primary criterion for talent acquisition during the early stages of Lida Rongyi’s establishment.

According to reports, the Lida Rongyi team comprises professionals from diverse fields including clinical medicine, telecommunications, computer science, and finance. The team has accumulated extensive practical experience in artificial intelligence and big data, along with long-term, stable resources in vertical sectors and cross-industry collaborations. After four years of development, Lida Rongyi has established a viable commercial loop encompassing data source acquisition, data platform construction, application scenarios, product refinement, and customer acquisition. Currently, Lida Rongyi’s medical data terminal services have been effectively implemented in departments such as cardiology and obstetrics and gynecology.

As the state continues to explore and foster the new model of “Internet + Healthcare” services and advance the construction of healthcare big data platforms, medical big data, as a vital component of internet-based healthcare, will play a significant role in clinical care, medical research, and personal health management. Among these, breaking through the bottlenecks in physicians’ professional development and helping to “reduce their burden” are key factors currently driving the development of China’s healthcare industry.

“Lida Rongyi aims to liberate physicians from the mundane and complex tasks of daily clinical practice by transforming big data and artificial intelligence technologies into services embedded in everyday clinical workflows, thereby realizing the value of data and enhancing medical efficiency,” stated Xu Junjie.

In the future, Lida Rongyi will continue to focus on liberating medical data and unlocking the substantial value of its utilization, fundamentally addressing the industry pain points of cumbersome workflows for healthcare professionals and the inefficient application of siloed data.