As a critical component of the national big data strategy, healthcare big data occupies an extremely important position. However, health and medical big data in China currently exist as isolated silos, lacking interconnectivity and standardization; such fragmented and non-standardized data hold little value. With the massive accumulation of medical data generated by hospitals, pharmaceutical companies, and other institutions, along with various genomics datasets, challenges such as diverse data sources, complex data structures, and inconsistent standards have become increasingly apparent. For the entire health and medical big data industry, the establishment of standards is therefore urgent.
To facilitate in-depth discussions on the application of medical big data and the development of its standardization system, the “Advanced Symposium on Medical Big Data Application and Standardization System Development,” hosted by the Wu Jieping Medical Foundation and the Beijing-Tianjin-Hebei Medical Big Data Promotion Association, and supported by the People’s Government of Binhai New Area, Tianjin, and the Tianjin Municipal Health and Family Planning Commission, will be held in Binhai, Tianjin, on December 22. The symposium aims to further improve health and medical services for the public through the continuous refinement of medical big data standards, promote the formation of a health and medical big data product ecosystem, and stimulate the motivation and vitality of market entities to participate in innovative development.
At the recently held National Big Data Strategy Study Session, leveraging big data to safeguard and improve people’s livelihoods, adhering to the people-centered development philosophy, and advancing “Internet + Education,” “Internet + Healthcare,” and “Internet + Culture” were identified as key priorities of the national big data development strategy. On one hand, health has assumed an increasingly pivotal role in people’s livelihoods across countries worldwide. On the other hand, the widespread adoption of mobile/internet healthcare, automated analytical testing instruments, and wearable devices has turned patients, physicians, enterprises, and governments into direct creators of data, generating vast volumes of medical data every day.
The sources of big data in healthcare are diverse, and the content is vast and complex. Therefore, establishing data standards is a top priority for “Internet + Healthcare.” This symposium will address key topics such as the development of future medical big data standards, specialty-specific medical big data, platform construction, data management, and tiered diagnosis and treatment. Government leaders, medical industry experts from various fields, scholars from social organizations, and executives from renowned domestic and international pharmaceutical and medical enterprises will interpret critical issues in the construction of medical big data infrastructure and jointly explore the future direction of medical big data applications and the development of standardization systems in China.
Symposium Highlights
Topic 1: Reflections on the Establishment and Application of a Standard System for Medical Big Data
The National Health and Family Planning Commission is developing and refining relevant standards and regulations, including the Measures for the Management of Data Resource Services of the National Health and Family Planning Commission, the Measures for the Administration of Internet Medical Services, the Measures for the Management of Health and Medical Big Data Services, the Measures for the Security Management of Health and Medical Big Data, and the Measures for the Standardization Management of Health and Medical Big Data. These efforts aim to advance big data governance in the population health informatization sector, as well as the application of clinical and research big data in health and medicine, and risk warning and decision-making applications for population health information. The seminar will provide a detailed interpretation of the establishment and application of the standard system for medical big data.
Topic 2: Innovative Payment Methods and Health Insurance Design Considerations
With the advancement of new technologies, financial service models based on mobile internet and big data computing have created numerous opportunities for investors and entrepreneurs. China’s insurance industry is currently experiencing a phase of exponential growth, characterized by continuously rising customer awareness of insurance and an expanding range and scale of insurable assets. This topic will explore future payment mechanisms and health insurance product design in China through the lens of healthcare big data.
Topic 3: Construction of a Standard Data Platform for Thoracic Surgery
The development and application of medical big data has become an inevitable trend. A prerequisite for vigorously advancing medical big data is the establishment of robust databases, which undoubtedly relies on the structuring of medical records and the standardization of terminology. However, the reality is that medical terminology across various specialties lacks standardization; even the most basic medical terms remain inconsistent, with different clinical terms used for the same disease. The problem of information silos is prominent, with some medical procedures even lacking corresponding names for medical insurance reimbursement. How to achieve the structuring of medical records and the standardization of terminology is an urgent issue that needs to be addressed in the era of big data.
Topic 4: Standard Data Management from the Patient Perspective
Over the past three years, LinkDoc Technology has collaborated with 500 Grade A tertiary general and specialized hospitals across China, aggregating real-world data from over 2 million Chinese cancer patient cases. By analyzing these cases and accumulating and replicating clinical expertise, LinkDoc aims to assist in the treatment of more cancer patients. Furthermore, leveraging healthcare big data in oncology as its core engine, the company drives precision management throughout the entire patient journey, including diagnosis and treatment, medication safety, medical insurance, and rehabilitation. At this symposium, LinkDoc Technology will provide an in-depth interpretation of standardized data management at the patient level.
Topic 5: Building a Tiered Diagnosis and Treatment Platform Powered by Big Data
In the future, China’s healthcare data will be comprehensively recorded, enabling the creation of an integrated electronic cloud service that combines treatment and prevention, as well as rehabilitation and self-care management. When seeking medical attention, citizens will be able to address common health issues at their local community centers, receive treatment for other conditions at nearby medical institutions, and manage complex or severe cases through remote consultations, thereby realizing a tiered diagnosis and treatment system. So, how can big data facilitate the development of such a tiered healthcare platform? How can we prioritize security and protect privacy? And how can we establish comprehensive laws, regulations, and standards, along with foundational databases such as electronic health records? This article explores these key issues surrounding the construction of a big data-enabled tiered diagnosis and treatment system.