How does the medical cloud provide specialized medical records and research platforms for 500 top three hospitals?

How does the medical cloud provide specialized medical records and research platforms for 500 top three hospitals?

Founded in 2014, Bozhi Medical Cloud is the industry's leading specialized disease-based electronic medical record and research platform. The company team independently developed a set of underlying data architecture and core technology, guided by the needs of doctors, customized electronic medical records for specific diseases, and can complete the construction of all structured fields of medical records in 6-8 hours. Based on structured electronic forms for clinicians to customize disease information, the system can be updated in real time. When new guidelines and research directions emerge, the team can update in minutes based on the doctor's needs.

Previously, in June 2017, Bozhi Medical Cloud completed a round of financing of tens of millions of yuan, and the investor was Jingwei China.

After more than four years of development, Bozhi Medical Cloud products have entered 500 top three hospitals nationwide, covering 50 sub-categories and 5,000 departments, mainly in the fields of cancer, blood, orthopedics, nerves, etc. Hundreds of multi-center clinical research projects led by top domestic hospitals.

Recently, at the "2018 Medical Technology World Forum" hosted by the Arterial Network and Eggshell Research Institute, Fan Xiaolei, co-founder and national sales director of Bozhi Medical Cloud, shared the development history of Bozhi Medical Cloud in the past few years, as well as the high quality The disease data platform is a reflection of the value brought by clinical research and pharmaceutical companies.

博识医疗云如何为500家三甲医院提供专病结构化电子病历及科研平台

Fan Xiaolei, co-founder of National Medical Cloud, national sales director Fan Xiaolei, photo of arterial network

The following content is based on Fan Xiaolei's sharing of shorthand finishing, and has been revised.

Team formed by alumni of China's "two universities with the best truss"

Introducing the company, we are a start-up company, the technical team comes from Tsinghua University, the medical team comes from Peking University, and the alumni of China's “two universities with the best truss” set up our team.

We hope to serve the most advanced experts in China and become their first choice. Because our data management system, scientific research management system, and patient management platform have been recognized by more experts, we have the opportunity to cover more than 500 top three hospitals nationwide in more than four years, and cooperate in more than 50 sub-species. 5000 clinical departments.

博识医疗云如何为500家三甲医院提供专病结构化电子病历及科研平台

Bozhi Medical Cloud's main products and services, from the guests to share PPT

These diseases include diseases with very high mortality rates such as cancer, blood, and neurology. One person has a great impact on the family and a heavy social burden. We hope to make more contributions in such fields. .

We have a lot of patents and software copyrights, and passed the third-level filing of the Ministry of Public Security and the first-level certification of national information system security. In 2017, we established a joint lab dedicated to medical big data with the Data Science Center of the Chinese Academy of Sciences. In the future, we will have in-depth cooperation in artificial intelligence, data analysis, and modeling.

In the past few years, we have done a number of national key projects in the field of diseases, including the National Dialysis Registration System of the Health Care Commission, the Neurological Cohort Study of the 13th Five-Year National Key Research and Development Program, and the National Key Research and Development Program. And the community comprehensive prevention and control appropriate technology research, etc., at the same time we also support clinical experts in the field of cancer, blood, orthopedics and other special disease cooperation groups covering the top three hospitals nationwide.

Addressing the issue of high quality medical data sources

The past decade of medical treatment has been the innovation and differentiation of products such as drugs and equipment. From the perspective of data, what we have seen is more retrospective research, which is based on past data and evidence.

In the current decade, the development of computing devices, the explosion of data, companies are often oriented to real-time results, providing data-based diagnostic decisions, smart reading, real-world research, and differentiated services for patients. In the next decade, the era of disease-oriented smart solutions will win the market.

Consumers' attitudes toward big data and artificial intelligence are also more open. Our research shows that more than half of consumers are willing to accept data-based, artificial intelligence technology for their medical treatment. The younger the population, the higher the acceptance of new technologies and new methods. It can also be seen from the acceptance of the treatment process that patients are able to accept more in-depth diagnosis and treatment decisions involving artificial intelligence, rather than being limited to some basic examinations in the past.

Whether it is big data or artificial intelligence, high quality data is clearly the most important starting point.

It is well known that the highest quality medical data has always been scientifically graded data recorded by pre-structured methods. We have also consistently provided the best scientific research data services for the top clinical experts in China.

博识医疗云如何为500家三甲医院提供专病结构化电子病历及科研平台

The dimension of medical data, from the guests sharing PPT

At present, most of the high-quality hospitals in China are the key top three hospitals in the core cities. The current widespread problem is that the writing of medical records lacks uniform norms. Doctors have greater freedom of writing and greater heterogeneity. At the same time, they lack key information such as biomacromolecules detection, evaluation scales, and follow-up. The cost of structured processing of this part of the data is also high, so we say that even the value of data deposited by high-quality hospitals is relatively low.

And we have been focusing on the service of clinical experts to customize the development of disease-specific data platform in the past, while realizing the standardization of data records, and highly satisfying the individualized needs of different hospitals in research and patient management, so as to better meet the upper right corner. The generation of high quality data in the quadrant. Let's look at a real case:

We work with a top three hospital in Beijing to provide data solutions. Before the cooperation, the top three hospitals have very little description data for a type of disease. If applied, it also requires a lot of data management such as natural text recognition and manual review. Citing the director of the department, the data recorded and retained by the hospital system is more for the purpose of preserving the evidence. It is used for qualitative and litigation in the case of doctor-patient disputes, and the support for scientific research is too weak.

After cooperating with Boss Medical Cloud, we customized and developed a professional pre-structured form according to the single disease requirements of the department, solved the problem of non-standard data inconsistency, and solved the problem of need to re-process after data generation. Data generation is available. Now the ward rounds of the department and the quality control of the data are all completed on this special disease platform, which greatly improves the efficiency of doctors' research.

Mining the value of data for medical and drug development

As we can sum up, we can see that compared with traditional electronic medical records or traditional department database, based on high-quality pre-structured disease-specific data platform, it has the characteristics of flexible information, flexible adjustment, and high data quality. % of the content can be structured; it can also be applied to clinical trials, real-world research, adverse event tracking, patient management follow-up, etc. It greatly improves the efficiency of clinical management data and reduces the implementation cost of the research.

How to use it specifically, we also have some exploration. The first is to provide services for the clinical research of pharmaceutical companies to help companies conduct clinical research feasibility analysis. The results of the assessment are combined with the results of various dimensions, such as patient potential, central influence, clinical trial recruitment cycle, number of patients required, and so on. With our channel, we can also help companies quickly choose PI and participating units.

The second is to expand the coverage of patient recruitment information through online and offline dual channels. At the same time, the initial screening of existing patient resources and the positioning of new patients can be achieved, and rapid patient enrollment can be achieved, and the clinical research can be accelerated.

As well as the national KOL service for the disease, help them form a collaborative alliance, start from the real world research, form academic achievements, and can be combined with the enterprise to achieve academic and commercial value sharing.

For the drugs that have already been marketed, the real-world research can be used to track and remind patients to complete the treatment plan on time, foot dose, and foot treatment, thus helping the patient's prognosis and increasing the reasonable sales volume for the company.

Here we also have a case about the haemophilic syndrome. The Hemophagocytic Syndrome Alliance was initiated by Director Wang Zhao of the Department of Hematology, Beijing Friendship Hospital. It was originally the Beijing Hemophagocytic Syndrome Collaboration Group, covering 22 key departments of Beijing's top three hospitals. In 2016, it expanded to nearly 200 top three hospitals nationwide and created. The China Association of Hemophagocytic Syndrome, Boss Medical Cloud created the Chinese hemophagocytic syndrome registration platform for the Alliance, and is now the world's largest pool of patients with hemophagocytic syndrome.

Based on the principle of mutual assistance, sharing and win-win, all the departments that have contributed cases and passed the quality inspection can apply to the platform and use the data of the whole platform for scientific research. Director Wang Zhao also used the platform to explore innovative chemotherapy regimens for Chinese hemophagocytic syndrome and achieved excellent results. The specific article has also been published in the blood journal's top journal Blood.

During the trial, many pharmaceutical companies also participated actively, confirming the excellent efficacy of related drugs in the Chinese population. The platform is still in use.

In short, big data and artificial intelligence technologies are reshaping the face of the health care industry and deeply affecting every aspect of the industry chain. In the past few years, products such as Medical Healthcare Cloud have created the “infrastructure” of data intelligence from serving top domestic doctors. Big data and artificial intelligence applications based on high-quality medical data have begun to be in medical services, clinical research, and drugs. Research and other aspects of the landing, high-quality data and commercial applications complement each other, the future development potential is huge.

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