Holding a large number of physical examination data, the United States opened a healthy ＂volume＂ of generative artificial intelligence.
Domestic medical giants are actively embracing the trend of generative artificial intelligence, not only mentioning the planning and application of generative AI (artificial intelligence) in the annual report, but also the cooperation between them has become a trend, especially some cooperation with early layout has gradually reached the landing stage.
At the end of January, Mei Nianda Health Industry (Group) Co., Ltd. (hereinafter referred to as "Mei Nian Health"), Huawei Cloud Computing Technology Co., Ltd. and Shanghai Runda Medical Technology Co., Ltd. announced that they had reached a cooperation to jointly develop the first digital intelligence health manager based on generative AI in China-"Healthy Xiaomei". On April 15th, it started the internal trial operation, marking that the medical examination industry is accelerating into the era of generative AI.
Physical examination institutions embrace AI to find the way.
The history of commercial physical examination in China is not long. Before entering this century, most physical examinations in China are social mandatory physical examinations, which are mandatory to check whether the physical condition of the examinee can meet the requirements of the corresponding post. With the improvement of social and economic level, people’s health awareness is gradually awakening, and health check-ups have gradually turned into preventive and health-care commercial check-ups, with the main purpose of early detection and early treatment of potential diseases.
Once this huge demand was released, it immediately promoted the rapid growth of the medical examination industry. The data shows that from 2012 to 2021, the scale of China’s medical examination market increased from 46.8 billion yuan to 189 billion yuan, with a compound growth rate of 16.78%. It is estimated that the scale of China’s medical examination market will reach 390 billion yuan in 2025.
Under the dual promotion of market and policy, private medical institutions have mushroomed. Among them, Meinian Health came from behind, braving all the way, and officially landed in A shares in July 2015, and has become a leading enterprise in the medical examination industry. By the end of June, 2023, Mei Nian Health included four brands: Mei Nian Da Health, Ciming Physical Examination, Ciming Aoya and Meizhao Health, and the total number of medical examinations in 608 medical examination centers covering cities, stores and years was at the forefront of the industry.
Some insiders said that even though private medical institutions have grown rapidly in the past ten years, public medical institutions, especially public 3A hospitals, still occupy the main share of the medical examination market with their strong medical service capabilities and brand appeal, and want to compete with them continuously. Private medical institutions need to make more efforts and invest in technology and services.
In recent years, AI has begun to enter the vision of the managers of medical institutions. Yu Rong, chairman of Meinian Health, said: "AI can greatly improve the efficiency, stability and quality of professional health checkups. Its application in the health examination industry can improve screening accuracy, improve customer experience, improve operational efficiency, reduce costs and help doctors improve their clinical level rapidly, thus promoting the innovation and development of health examination and health management business. "
It has become the consensus of the whole industry to use AI to realize the innovation of physical examination and promote the innovation and development of health examination and health management business.
Yu Rongxiang introduced the exploration of American health in AI in recent years. Since 2017, Mei Nian Health has launched a number of specialized and special series products incorporating AI technology, including lung nodule AI, cardiovascular AI, fundus AI, ultrasound AI and brain health AI projects, all of which have brought about an increase in performance. In the past two years, Mei Nian Health has made bold innovations and practices in AI physical examination products and closed-loop services. The company empowers the medical examination scene with AI, and benefits AI to the daily medical examination. At present, the application of healthy AI in the United States is very common. The launch of these products not only greatly improves the accuracy and efficiency of physical examination, but also brings unprecedented experience to the subjects.
These practices have achieved good results, and the industry is increasingly optimistic about the application and landing of AI in the field of preventive medicine, especially in the field of health examination. On the one hand, the application of AI can help accurate screening, improve screening accuracy, reduce human error, improve customer experience and improve customer satisfaction; On the other hand, AI helps to further improve the efficiency of disease screening and expert reading, and reduce costs. Moreover, based on the high-quality health big data brought by the medical examination traffic, the empowerment AI algorithm will be further optimized to open more application scenarios in the segmentation field.
With the blessing of AI, the physical examination industry is also kicking off a new era, from the previous physical examination 1.0 (routine screening), physical examination 2.0 (in-depth screening) and physical examination 3.0 (all-round and full-cycle health management) to the physical examination 4.0 (personalized and intelligent health management) era, and began to move towards the sea of stars.
Breakthrough: AI "roll" physical examination track
The industry believes that AI has great potential to completely subvert the cost, efficiency and user experience optimization of the whole process of pre-examination, mid-examination, diagnosis, post-examination and management in the medical examination industry.
Yu Rong introduced the exploration of Meinian Health in these processes: "At present, we have fully realized the application of AI and big data before, during and after inspection. For example, before the examination, we provide professional and targeted medical examination programs through intelligent add-ons and intelligent customization of personal medical examination packages. In the inspection, whether it is auxiliary medical care, innovative products or time-sharing appointment AI technology to enhance customers’ feelings, it has been fully applied. After the check-up, the intelligent main check-up and AI-MDT multidisciplinary expert consultation health assessment can greatly improve the efficiency and accuracy of diagnosis and treatment, and provide detailed data basis and personalized health management plan for health intervention. In the health intervention stage, on the basis of providing services such as medical access, expert docking and insurance products, we are gradually exploring solutions for different chronic disease management through AI and big data. "
He added, "Since 2022, personalized medical examination service driven by AI algorithm model has been provided. Individual customers and group customers can use AI to customize medical examination packages based on historical data and simple questionnaires. We are still studying the use of AI and large models for intelligent general inspection. This will lead the health examination industry into the medical examination 4.0 era of personalized and intelligent health management. "
With the popularity of AI, Mei Nian Health is also committed to further exploring the value of healthy big data through big model technology and giving full play to its data advantages. "Healthy Xiaomei" is an attempt to productize this strategy.
Multi-party layout Become an ecological co-builder of AI terminals
After several years of rapid development, medical AI has entered the second half, and the competition of AI commercialization ability is becoming more and more important. Unfortunately, due to various reasons, it is not easy for AI Medical to make a breakthrough in public medical institutions in the short term. Relatively speaking, relying mainly on self-funded commercial medical examinations has become the export of AI business.
Meinian Health has always been an active practitioner of AI commercialization. On the one hand, it accelerates the incubation of start-up AI companies in the form of entrepreneurial competitions. On the other hand, Meinian Health has also consciously and actively developed the AI physical examination program to help it apply as soon as possible.
During the implementation of the project, Meinian Health gave full play to its own advantages and efficiently completed the collection and management of 130 million people’s health examination data, including 4.34 million people’s data for five consecutive years and 1.88 million people’s related gene test results, which laid a solid foundation for data resources.
Based on this ability of data mining and utilization, the cooperation between Mei Nian Health and Huawei and Runda Medical naturally comes naturally.
In this cooperation, Meinian Health will provide massive, accurate and high-quality health check-up big data, combining Huawei Cloud’s leading technologies in cloud computing, big data and Pangu Big Model, and Runda Medical’s deep industry experience in the field of smart medical services. The three parties complement each other, hoping to provide a more intelligent overall solution for the health examination industry.
The role of the ecological co-builder of the American Health AI terminal has also been further clarified through this cooperation, and "All-in-AI" will also bear fruitful results in the future. "I believe that through extensive cross-border cooperation and collaborative innovation, and making full use of digital technology and accurate data-driven services, we can accelerate the construction of the technical base and industrial ecology of smart health management, and strive to build a leading domestic’ AI+health management’ benchmarking platform." Yu Rong is very optimistic about the future of the "All-in-AI" strategy.
Established 20 years ago, Mei Nian Health provides health check-ups for about 30 million people every year, and has provided health check-ups for about 230 million people since its listing. It has become a large-scale personal health data center in China, and has built a wealth of health data covering social demography, health history, lifestyle, physical examination, laboratory examination and imaging examination. These data are not only of great significance to the AI ecology, but also will generate great value in the coming era of "data elements".