"Using computer vision to understand medical records and images; to judge the condition through medical record structure, knowledge base and knowledge map; use natural language processing to communicate with patients." Fudan University Affiliated Tumor Hospital (hereinafter referred to as Cancer Hospital) held on February 27 At the press conference of the AI ​​Big Data Joint Lab jointly established with Tencent, Wu Hao, deputy dean of the Affiliated Tumor Hospital of Fudan University and director of the AI ​​Big Data Joint Lab, presented the core technology of the lab to the Science and Technology Daily reporter. It is reported that the laboratory is the first AI big data joint laboratory for oncology specialists in China, Fudan University, Microsoft (Medical Li Jie), Philips Medical, Yunzhisheng, Lianzhong, Colin Bray and other domestic and foreign technology companies and research. The organization will be involved in creating a modern, intelligent, cancer prevention, treatment and research center with international reach.

"The laboratory will focus on computer artificial intelligence and big data technology, targeting the big data platform and natural language processing, precision medicine, computer vision, tumor knowledge base, AI intelligent assistant and other five 'targets', including the construction of clinical research platforms. The specific application of the top ten scenes such as structured medical records and quality control management, high-risk population tumor screening, precise appointment, and patient follow-up management.” According to Wang Wei, director of Fudan University Cancer Hospital Information Center, natural language processing, AI intelligent assistant The development can realize direct voice dialogue between human and system, facilitate patient medical treatment and medical information collection, and the construction of tumor big data platform is the basis of research and application of oncology artificial intelligence.

AI medical convenience for patients to seek medical advice

“What can artificial intelligence do in cancer hospitals? Cancer Hospital and Tencent have a good research and application basis in the field of medical AI and big data. In 2017, the hospital was the first in the country to scan the entire process based on the electronic medical card. Service mode. Patients only need to apply for an electronic medical card on WeChat, and they can achieve precise reservations, online registration, online payment, report inquiry and other functions in the 'hands'." Wu Hao said that this move is greatly Reduced patient waiting time. According to the data, as of October 2018, more than 150,000 patients have passed the hospital's official WeChat public account for electronic consultation cards, covering 159 cities in 32 provinces, autonomous regions and municipalities across the country; now the daily registration of WeChat is close to the hospital clinic. 30% of the total number of registrations.

Based on the hospital's “Electronic Medical Card” platform, Tencent uses artificial intelligence, big data and other capabilities to provide accurate appointments, medication assistants, and oncology Q&A solutions for cancer hospitals, helping Internet + medical development, facilitating patient and benefiting patients. The effect is extremely significant.

Accurate matching of medical resources on demand

In the past, it was difficult to solve the problem of how to match the high-quality medical resources and intractable diseases. Now artificial intelligence gives the answer and becomes an effective exploration of hospital outpatient management. Tumor hospitals try to use artificial intelligence to achieve accurate appointments. At present, 15 common tumor diseases have been covered, and patients with severe and severe diseases can find the most suitable experts with the help of artificial intelligence. This practice has effectively cracked down on “smugglers” and achieved “precise matching” between patients and experts, so that patients who really need expert treatment do not need to wait for several weeks, get treatment in the first time, and make the ideal of “on-demand treatment” reality.

Up to now, accurate appointments have saved an average of 2.5 hours of visit time per patient. The waiting time for patients hanging experts has been reduced by an average of 7.4 days, and the visit rate has increased by 7%. The efficiency of expert clinics has increased by an average of about 3.5 times.

In addition to accurate reservations, with the support of AI big data provided by Tencent, the oncology hospital has successively launched online drug assistants, tumor intelligence questions and answers and other services. Among them, the medication assistant has 42 kinds of common tumor drug knowledge bases, providing intelligent consultation of oncology drugs and intelligent drug guidance services under the supervision of pharmacists for returning patients, which improves the compliance of patients taking drugs and achieves good therapeutic effects.

In the future, the hospital will use AI big data joint laboratory as a new starting point, in-depth research in the field of tumor precision medicine, integrate clinical and multi-group big data, use AI engine to build tumor intelligent diagnosis and treatment system, and provide individualized precision for cancer patients. medical service.

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