How can information barriers between hospitals and families get through? Building a closed loop of medical big data is key

Since 2015, the health care big data from the initial definition, to the State Council to incorporate its application development into the national big data strategic layout, is becoming a new growth pole for the future development of the health care industry.

The problems of low standardization, fragmentation of management, and fragmentation of technology in the health care big data have been put on the table. The standardization of hospital health medical big data and the policy formulation of interconnection have become the main direction of current development.

The “Guiding Opinions of the General Office of the State Council on Promoting and Regulating the Development of Big Data Applications for Health Care” officially promulgated in June 2016 set the tone for the development of health care big data.

In 2017, the three major groups of big data “national team” were established one after another, initially forming the three major group companies led by the National Health and Family Planning Commission, and undertaking the construction of national health medical big data centers, regional centers, application development centers and industrial parks. task.

Signing ceremony site (Source: Corporate Photo)

In May 2018, Beijing Miao Medical Information Technology Co., Ltd. ("Miao Health") and Inspur Software Group Co., Ltd. ("Inspur Group") formally signed a strategic cooperation agreement, the two sides will operate in Internet application services, based on health care In-depth cooperation in data health intervention management, artificial intelligence-based health care programs, and other fields. The signing of the contract also became the first key strategic cooperation project after the April 12 executive meeting of the State Council decided to develop the “Internet + medical health” measures.

As a member of the national health medical big data national team, Inspur Group will combine with the wonderful health of the mobile health management platform to create a "spark"? In what ways will the two sides work together? In response to this cooperation, the arterial network interviewed the wonderful health CEO Kong Fei.

>>>> Outside hospital health data is scattered, there is a gap in human body data monitoring between the second visits

The health care field is capable of generating massive amounts of data and is extremely complex in type. Each patient's personalized treatment plan will produce a variety of information such as imaging, pathological sections, biochemical analysis. There is a lack of data sharing interfaces between software and hardware among various medical institutions, resulting in the collection of health care big data is not smooth, there is also a disconnect between collection and application. Information silos have become the biggest problem in medical big data applications in medical institutions.

In fact, in addition to the structured data generated by patients during the visit, the larger big data does not exist in the hospital, but instead exists in the home environment after the end of the treatment. The human physiological data outside the hospital reflects daily life, living habits, physiological changes, potential lesions, disease development, frequency of medication, rehabilitation status, etc., and also has medical clinical value.

However, it has always been more difficult to obtain out-of-hospital health and health behavior big data than in-hospital medical big data stored in the HIS system.

With the popularization of products such as smart phones and wearable devices, non-medical health monitoring products are welcoming, and various people including health, sub-health, and patients can easily monitor their own data.

We can often see that the iphone-based Health Kit can record the walking steps, running mileage, weight and other indicators of the human body. The new version of iwatch can even accurately monitor heart rate and other data. The popularity of wearable devices quantifies the daily behavior of the human body, but after several fragmented behavioral data is collected, its value is used for prevention, that is, to develop a health management plan.

In fact, the barriers to information between hospitals and families are not limited to “pre-hospitality”, and a lot of effort is spent on “post-hospitality”. The mining of health big data medical value is more from the monitoring of physiological indicators in the period from the diagnosis and treatment to the second review.

Kong Fei said that the difficulty in collecting health data outside the hospital is: "In the past, after the domestic patients left the hospital, health monitoring and management were seriously lacking, and doctors and hospitals could not track the behavior and health data of patients."

Admittedly, hospital data is a core part of the clinic, but when the patient is discharged from the hospital, his medical information collection and feedback usually leaves the hospital. At present, the “post-hospital” physical recovery data is mainly based on feedback from follow-up or follow-up information collection.

The requirements for health big data are large and continuous, and the gap between diagnosis and treatment is a result of the inconsistency of in-hospital-out-of-hospital health care big data. The experience of developed countries proves that the data link of many rehabilitation links can be extended from the hospital to the home. . Therefore, the concept of "bed" is not only the "bed" of the hospital, but also the "bed" of the home.

Therefore, in the application of big data, using the Internet of Things and wearable devices to continuously observe and collect data from patients during and after diagnosis, filling in the data gap between diagnosis and treatment has become an important part of building a big data closed loop. Means, this has also become the focus of this wonderful health and Inspur Group cooperation.

>>>>In- hospital medical data + out-of-hospital health behavior data to create a closed loop of health care big data

According to data from the Liberation Daily and Shanghai Watch, there are 290 million cardiovascular patients in China, but more than 95% of medical information has not been applied. These big data that has been emptied have brought greater medical costs and family burdens. The “disability-free access” for standardizing big data in the hospital and outside the hospital can reduce the medical cost and economic burden by at least 20%.

It is said that the out-of-hospital data is like a "distributed soldier", in a collective divergence state, but in the collection of off-campus data, it seems "not so difficult" for wonderful health.

Since its inception in 2014, Miao Health has focused on the interconnection of various health data and services. In early 2016, it has created an open platform for health data and services, which is now connected to major brands. More than 300 types of smart device data, in addition to access to health checks, genetics, insurance and other health-related data, can provide users with complete health data monitoring and management.

"Miao+" platform has access to more than 300 smart device data of major brands (Source: Enterprise for photo)

The other side of the cooperation, Inspur Group, as a member of the big data national team, has four resources: basic resource information, full population information, resident electronic health records and electronic medical record summary. The accumulated data is nearly 5 billion. Its advantage lies in its mature in-hospital health care big data database, and it is also the only information technology specialized enterprise in China that has the advantages of cloud data center, cloud computing and big data integrated business.

Based on the advantages of both the in-house and out-of-hospital data, the cooperation between Miao Health and Inspur can effectively combine the in-hospital medical data with the out-of-hospital health behavior data. Once the platform is interoperable, the doctor can quickly understand that the patient is discharged after the patient is discharged. Health and health behavior data during the follow-up period, so that the next stage of treatment can be formulated more accurately.

Kong Fei believes: "The cooperation between the two sides has realized the combination of in-hospital medical data + out-of-hospital health behavior data, which is conducive to exploring the construction of a closed loop model of health care big data."

Miao Health and Inspur Group will jointly build a health management model supported by a mobile health platform, provide accurate and healthy portraits for users, rely on the health knowledge map as the core, and provide users with health warning, physical examination, insurance, medical care, and genetics through artificial intelligence technology. Health needs such as screening provide intelligent and precise services, resulting in value-added health closed-loop solutions and application services.

In addition, the two sides will give full play to their respective advantages and characteristics in industry, platform, technology, data and solutions in the future, in the field of Internet application service operations, health intervention management based on health medical data, and health care projects based on artificial intelligence. In-depth cooperation to strengthen the complementary advantages of their respective business development, information resources, application services, technology development, data resources and other aspects.

>>>> Multi-party cooperation, exerting health big data, artificial intelligence, exploring and practicing new health management mode

After cooperating with Inspur Group, Miao Health will further enhance the health data storage capacity and health data of more dimensions, in order to accelerate the development of artificial intelligence and create more scientific and effective health management methods and methods.

At present, only the wonderful health APP has more than 35 million registered users and 4 million monthly users. All kinds of intelligent hardware and intelligent health screening robots and intelligent medical check-in machines can be collected and covered. Hundreds of health data and health behavior data from more than ten systems including systems, respiratory systems, endocrine systems, skeletal systems, immune systems, reproductive systems, and skin systems.

To deal with massive amounts of healthy big data and achieve more accurate model predictions is not something that can be done alone. Therefore, the wonderful health choices cooperate with the dominant institutions in various fields to achieve the effect of 1+1>2.

With the rapid development of technologies such as Internet of Things, big data, and artificial intelligence, the mobile Internet model has become a large-scale application in the field of healthy living. Kong Fei said: "In the future, Miao Health will continue to integrate health behavior data and medical data analysis to make health management more scientific and precise."

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