"Whether it is medical big data or artificial intelligence, it must eventually land. And the important application field of medical big data should be treatment." In the first session hosted by Chongqing Medical Association, Chongqing Medical University - Medical Duyun Medical Data Research Institute At the 2018 Academic Annual Meeting of the "Two Rivers Smart Medical Summit Forum" and the Information Committee of the Chongqing Medical Association, Li Kun, deputy dean of the Affiliated Hospital of Guizhou Medical University, said that the medical big data said.
In recent years, with the support of structured medical big data, artificial intelligence applications have gradually penetrated into hospitals, which is the most difficult to be intelligently transformed. From informatization to intelligence, from unstructured to structured, medical macro data taken from the clinic is ultimately used in the clinic.
To improve the medical experience, improve the efficacy rate, and assist clinical research, every medical participant has benefited from the structured results of the medical data.
However, in the eyes of the deans, the reach of medical big data should be extended to the development of standardized treatment plans for specialist diseases, and medical big data companies with top talents and rich experience need to play a more dominant role.
In the interview session after the annual meeting, Peng Yuzhu, Party Secretary of the Affiliated Drum Tower Hospital of Nanjing University Medical College (referred to as "Drum Tower Hospital"), and Associate Dean of Guizhou Medical University (referred to as "Affiliated Hospital of Guizhou Medical University") Li Kun and Zhejiang University Medicine Qiao Kai, deputy secretary of the Xiasha District of Shaoyifu Hospital affiliated to the hospital, introduced the results of the construction of smart hospitals to the arterial network and shared the idea of ​​future application of medical big data.
Review of results: Big data helps clinical research is a bright spot
At this stage, the results of the construction of smart hospitals reflect the application value in the patient and hospital respectively.
On the patient side, the intelligent hospital optimizes the patient's medical experience, and uniformly collects the patient data to connect the APP to the hospital and outside the hospital. The benefits of hospital digitalization for patients have become familiar with the implementation of the national Internet hospital policy.
Drum Tower Hospital has set up more than 100 self-service devices. The patients need only bar code for the whole process of the consultation, without queuing, relying on the APP to extend the original follow-up system, and establish a telemedicine center to realize the remote diagnosis and treatment guidance for the primary hospital. The affiliated hospital of Guizhou Medical University also realized the automatic appointment and artificial intelligence diagnosis through digitalization, saving diagnosis time and improving accuracy.
Vice President Li Kun told the arterial network. In the past, patients waited for 1-2 hours for medical treatment. In the digital scene, patients only need to arrive at the hospital for treatment 10 minutes in advance. "After arriving at the hospital, the doctor will arrange the patients to a special one. Waiting area." In addition, the patient's prescription and test results will flow in the hospital in real time.
At the hospital end, the three hospital administrators emphasized that structured medical big data will greatly help doctors in clinical research. Deputy Secretary Qiao Kai pointed out that structured medical big data is really useful data. Shao Yifu Hospital has not been established for a long time, and the scientific research foundation is relatively weak. Doctors have a deep feeling for applying medical big data to clinical research. Not long ago, Drum Tower Hospital has structured nearly 100,000 healthy physical examination data in the past 10 years, greatly improving the efficiency of clinical research output. Secretary Peng Yuzhu believes that there are still a large number of data resources in the hospital that need to be developed and utilized.
At the same time, the realization of graded diagnosis and treatment is also inseparable from medical big data. The Medical Association of Drum Tower Hospital covers more than 100 hospitals, and most of the patient management matters are conducted via the Internet.
In addition, artificial intelligence landing is a topic that cannot be avoided by medical big data applications. Drum Tower Hospital was the first in the urology department, using machine-depth learning of pathological images for early screening of prostate cancer. At present, it has been able to achieve higher accuracy and specificity than manual surgery. The sensitivity of early screening for prostate cancer is 99.3%, and it is improved. Work efficiency.
According to Peng Yuzhu’s secretary, Drum Tower Hospital is actively promoting the extension of clinical pharmacy services. Through artificial intelligence software, it helps pharmacists to review the prescriptions. The coverage of prescriptions has increased from 10%-20% in the past to 100%.
Hospital intelligent, need professional medical big data enterprise support
Informatization is the foundation of hospital smart hospitals. In China, hospital information construction has been more than 20 years old, from informationization to intelligence, but it is a more open process.
Drum Tower Hospital: Remodeling Hospital Information System
Drum Tower Hospital has a history of 100 years and has a strong brand presence. It has a certain brand influence in large-scale comprehensive public hospitals across the country. During the “Thirteenth Five-Year Planâ€, Drum Tower proposed reshaping the hospital information system and began to build smart hospitals based on HIMSS level 7, interconnection and JCR requirements.
In terms of function realization, Drum Tower Hospital operates mainly from three levels.
First, the interoperability of the operational level, launched in 2016, has been basically in place in early February 2018. At present, the Drum Tower Hospital has passed the HIMSS Level 6 certification to realize the interconnection and intercommunication of daily medical treatment and inspection.
Second, the structured database was successfully completed in June 2018.
Third, with the help of structured databases to achieve intelligent applications, some disciplines have formed a sub-structured database of single diseases, such as general surgery for gastric cancer and colorectal cancer, endocrine diabetes. In the next step, Drum Tower Hospital will encourage various specialists and departments to conduct in-depth exploration of structured databases.
Secretary Peng Yuzhu pointed out that the intelligent and effective use of medical big data is difficult to achieve by the hospital alone. Medical big data is very large, manual methods can not be collected and processed, and must rely on professionals to establish algorithms through computer language to classify. “Medical Big Data has the talent advantage and is responsible for the advancement of specific work content.â€
Medical Duyun and other medical big data companies are involved in the path of intelligent construction of hospitals, generally from large projects to specialist single diseases. The data structure of Drum Tower Hospital has entered the stage of specialist single disease. Peng Yuzhu told the arterial network that the data micro-planning scheme was designed by Big Data Company. After clinical communication and adjustment, the implementation was carried out. Big Data's job is to use big data to turn clinical needs into computer languages.
Affiliated Hospital of Guizhou Medical University: Taking big data as a starting point, struggling to catch up
When Vice President Li Kun shared his experience in the intelligent construction of the affiliated hospital of the University of Medical Sciences, he emphasized the landing. “What is the landing? It is to let the managers feel the convenience of management and let the users of our doctors feel that he is convenient to use. â€
Guizhou Province is an important base for big data in the country. In the cooperation with Medical Duyun, the most wanted of Guizhou Provincial People's Hospital is prevention. Through big data combing, it is found that some common diseases and endemic diseases in Guizhou Province have pathogenesis, and there are potential predisposing factors in living habits and living environment.
There are many high blood pressures in rural areas of Guizhou. I plan to develop cardiovascular disease software in medical and medical clouds. On the one hand, I found out how to standardize treatment in the future, on the other hand, I found its predisposing factors and his living environment and his eating habits and his Whether other hobbies have anything to do with it. On this basis, try to kill the disease in the stage where it did not happen.
Run Run Shaw Hospital: From "No. 1" to Intelligent
Shao Yifu Hospital implemented the No. 1 system from the beginning of the establishment of the hospital in 1994. Based on the computer system, all the historical medical information of the patients was completely retained. The continuity and integrity of the data is characteristic of Run Run Shaw Hospital, which guarantees the quality of medical care and clinical research needs, and provides a good foundation for the construction of big data platform.
In 2016, Shao Yifu Hospital cooperated with Medical Duyun to set up a scientific research big data platform for the whole hospital, and collected patient data to achieve standardization and structure. Shao Yifu Hospital has independently established a medical cloud platform, pooling the resources of tens of thousands of doctors in more than 1,000 hospitals to better serve and attract patients.
In addition, Shao Yifu Hospital established a cognitive medical center, engaged in artificial intelligence application research based on structured medical big data, developed a community general practitioner assistant, and was recognized by the National Health and Health Commission, designated as Shaoyifu Hospital's national poverty alleviation. project.
Medical Big Data Application: Intensify treatment function based on clinical needs
Talking about the application prospects of medical big data, the three deans emphasized that the future design of medical big data model should be promoted to the therapeutic side.
Vice President Li Kun pointed out that it is recommended that Zhidu Cloud put prevention design at the forefront. With the help of top medical experts in the country, this work can be done by medical big data companies. "But this work is not accomplished by medical doctors alone, and needs to be linked to the informationization of the whole society."
At present, Medical Duyun has assisted the Guizhou Provincial People's Hospital to sort out the data before 2007. On the basis of improving the legal norms, it will further introduce practical functions, including prevention and control of general diseases and cardiovascular diseases.
In addition, the Affiliated Hospital of Guizhou Medical University has reached a preliminary intention with the Chinese Academy of Sciences Cancer Hospital and Medical Duyun on the standard treatment plan for liver disease, and initiated a new cooperation from January 2019. “Medical Cloud can form a team with the academicians of the Cancer Hospital of the Chinese Academy of Sciences. Taking lung cancer as an example, formulate the case collection requirements for specific lung cancer classification, transfer it to the academician guidance team through the medical cloud, and the guiding team will develop a standard treatment plan. For treatment guidance, this is a clinical path of evidence-based medicine.†Li Kun, deputy dean pointed out, “At present, there is no unified treatment plan in the country, and there is some debate in the scientific community. But if the academician team can work out a set The complete plan will be transmitted through the medical cloud."
Deputy Secretary Qiao Kai also pointed out that the specific idea of ​​clinical research is to be generated from the hospital. Medical big data enterprises have the technical leadership talents, can cut through the technical level, provide professional services for the construction of smart hospitals, "hope medical big data enterprises From the service-oriented enterprise of data to the leading enterprise of data, some leapfrog changes have been made in this regard."
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