On May 17, 2018, the "2018 China Health Information Technology/Health Medical Big Data Application Exchange Conference" hosted by the China Health Information and Health Big Data Society was held in Jinan. The leaders of the relevant departments and departments of the National Health and Health Commission, the leaders of the provincial and municipal health and family planning committees, the China Health Information and Health Medical Big Data Society and related fields of experts and scholars, medical and health institutions and IT enterprise representatives attended more than 15,000 people. The meeting held an in-depth discussion on topics such as the application development of health care big data, deep integration of industry, and open data sharing.
Jin Xiaotao, the deputy director of the former National Health and Family Planning Commission and the president of the China Health Information and Health Medical Big Data Society (second from left)
Deputy Director/Researcher of the Statistical Information Center of the National Health and Family Planning Commission and Hu Jianping, Deputy Secretary General of the China Health Information and Health Medical Big Data Society (first from left)
Ni Hao (second from right), President of Yitu Medical, Wang Wei, Director of Medical Products, Yitu (first right)
The China Health Information Technology Exchange Conference is the largest, most informative, authoritative and influential high-level information technology and academic exchange event in China. As the only artificial intelligence company in the medical artificial intelligence industry that proposes a matrix of medical full-link AI products, Wang Hao, director of Yitu Medical Products, was invited to participate in the conference and published the topic entitled "The Road to Medical Big Data Based on Artificial Intelligence". Speech. He pointed out that artificial intelligence is the basis of medical big data. Only medical data that has been analyzed and processed by artificial intelligence can be called medical big data in real sense. Only by using artificial intelligence technology can we develop intelligence. More top-level applications such as scientific research, clinical quality control, and telemedicine.
For a long time, the AI ​​industry has always regarded medical big data as the basis of artificial intelligence, and expects to “feed†artificial intelligence with massive clinical data, but in fact, under the current level of medical informatization, most medical data in China still In the non-standard, unstructured state, the massive text medical data is still in a state of sleep, the noise in the clinical data is extremely large, and regardless of "feeding" artificial intelligence, sharing and intercommunication has not been realized, and the deep analysis and utilization is even more difficult to talk about.
"If you want to fully exploit the advantages of China's massive medical data, you must use artificial intelligence as the basis to promote the analysis, cleaning, and structuring of clinical data, awaken the sleeping text data, open up the image data under the information island, and build a true medical sense. Big data networks, and through artificial intelligence, fully exploit the potential value of medical big data, and ultimately benefit patients." Wang Wei said.
The application of artificial intelligence to clinical products has become commonplace and has gradually become the trend of the Red Sea. However, what can artificial intelligence do in terms of data processing and scene application construction? Wang Wei revealed that for complex health data, such as clinical data, population health data, and public health data, artificial intelligence can give full play to its powerful analytical capabilities for complex text data, dimensionality and structuralization of medical image data, The ability to purify quality analysis and control, the data standardization ability of diversified governance, extract the sand from rice, wash the dust on the leaves, and mix the disorganized data materials into a table with appropriate temperature and superb cooking skills. Preface, a pleasing medical big data feast, and a dining table.
After the completion of the analysis and processing of the data, artificial intelligence also has powerful scenario application construction capabilities, such as the full-scale preparation of clinical research data, the improvement of the standardization of diagnosis and treatment, the expansion of the supply of primary care, etc., and continuously improve the medical institutions. The clinical services and research capabilities eventually became a smart hospital.
As an artificial intelligence enterprise that has been involved in medical big data intelligent solutions earlier in China, based on its advanced AI algorithm, semantic analysis technology, text structuring technology, and self-built medical terminology database, medical big data intelligence developed by Vision Medical The solution has been able to open HIS, LIS, PACS, RIS and other systems, establish a multi-modal, full-cycle research database, the research data preparation efficiency has doubled, and the full-scale extraction workload of thousands of patients has been compressed from the annual level to the month. level. At the same time, the system also realized a complete quality control system from the performance evaluation plan of the model to the data sampling and evaluation system, which greatly improved the quality of scientific research data on the whole platform, and made it measurable and optimizable.
"In the future, AI will inevitably become the infrastructure of medical institutions and become a good helper for doctors' clinical diagnosis and scientific research. It will help the value of massive medical data in a state of sleep in Chinese medical institutions to really break out." Wang Wei said.
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