Continue to increase investment in medical intelligence technology research and development.

Learn that the medical technology service company “Rida Rong Medical” has been completed tens of millions of yuan A round of financing, the investor has not disclosed, the financing Jin will focus on innovative research and development and product market expansion of basic medical intelligence technologies. At the beginning of last year, it had received tens of millions of Pre-A rounds of financing from Yuanxiao Capital.

“Lida Rong Medical” was formerly known as “Shengli Technology” and has been reported in detail by , which was established in 2015 to address the needs of medical research and clinical practice, provides a software and hardware integration tool that efficiently and intelligently analyzes and processes data through big data technology; The product has been commercialized in 2017;September , “Silicon Technology” conducted brand strategy upgrade, changed its name to “Rida Pharma” will accelerate the market expansion of the medical data storage and application layers based on the development of more mature existing businesses.

With the single step of collecting data and cleaning data in the market, the company that builds the “Medical Big Data Platform” is different from the single disease type. Based on the data integration of the scene, and complete the subsequent data analysis and back-end data processing, and then go to the front-end application.

Starting|Helping doctors to reduce burdens with intelligent data services,

The current diseases targeted by Rieter Rongzhi are mainly cardiology and gynecology. Xu Lijie, CEO of Lida Rongji, said that on the one hand, this is related to his personal experience. Previously, he focused on cardiovascular intervention and informationization in clinical and scientific research, and understood the pain points of cardiology. On the other hand, the population groups facing the above two departments have a large population base and relatively standardized clinical treatment routes.According to the relatively uniform, plus the time of treatment and treatment is relatively concentrated and the effect is obvious, it is convenient for follow-up training data; in addition, the scale of surgery is large, from the management level, the demand for data quality control is more urgent.

First talk about the status quo of the industry, the long-term application value of medical big data is not to be rumored. But the problem is that most of the massive medical data “ doesn’t work“: on the one hand, due to existing data collection, storage, collection and management Irregular, resulting in low data utilization; on the other hand, data standards across departments and organizations are not uniform, data supply and demand are not effectively matched, and there is an “information island”.

Having many years of clinical work experienceXu Yujie is deeply painful. “Because of the existence of information islands, as well as data standardization and low degree of structure, in the domestic medical industry, writing medical records Medical staff should do a lot of repetitive work, especially the manual entry and sorting of data, which takes up a lot of time.”

According to the report “Investigation: Doctors’ Severe Fatigue in Workloads” issued by Lilac Garden, doctors pointed out that in addition to 55% of the time for doctors to sit in the clinic, there are still more than 40% of the time being a large number of non-clinical matters. Occupy, such as administrative management, advanced study, forum meetings, etc. In fact, data as the core of theory is the most scattered, missing and much-needed part of many complicated work.

Using smart technology to improve the daily work efficiency of doctors, reducing duplication and triviality has become the core goal of Rieter. According to Xu Weijie, the specific technical path includes three levels:

  • First, in data integration, according to the clinical path – diagnosis, surgery, follow-up to post-operative management, respectively develop different intelligent operating systems, including angiographic intervention reporting system, clinical diagnosis and treatment Follow-up recording system, post-operative patient management system, and medical data analysis service system, covering the patient’s full-cycle medical data from admission to discharge and out-of-hospital rehabilitation, and all systems are interconnected in the background;

  • Secondly, on the data storage, build a standard database, that is, according to the international standard database architecture model, follow international data standards and guidelines, such as ICD, SNOMED, ​​UMLS, LOINC, NCDR, ACC/ AHA, ESC, etc., design professional medical information dictionary based on clinical path, create millions of standardized structural data variables, and achieve full coverage of clinical path data;

  • Third, in the data processing, using data such as big data, artificial intelligence, machine learning, comprehensive medical knowledge map, medical knowledge map and clinical path, develop medical intelligent processing technology products – —Willow, it can cover a series of functions such as text information processing, clinical data analysis, and industrial ecological management.

Xu Jiejie introduced that the core of the above services lies in the fact that medical staff can use the data in the process of using data to make data granularity allocation, so that all data collection work is completed once. save time. He revealed that the current system introduced by the company can increase the efficiency of the system by 90% during use.

However, In the long run, the capabilities of these tools will not be limited to saving labor costs. Xu Yujie believes that “data integration and processing is only a foundation, and how to follow up on these medical big data to assist clinical or service decisions is worth exploring.”

He said , the ultimate goal of medical big data is to optimize the medical industry service structure through data analysis and application, through independent storage, analysis and application of single disease data. The design makes the professionalism of the data guaranteed, and opens up the industry upstream and downstream of the single disease supply information service.

At this stage, medical data is playing an important role in many application scenarios such as operating room quality control, disease risk model, departmental medical fine management analysis, and clinical research assistance. This is also the important value of Rieter Health. The direction of commercialization; in the future, it can also assist clinical decision-making and drug consumable clinical trials, and assist in optimizing the medical insurance system.

The marketization path of “Rida Rongji” is also starting from the head. Xu Weijie said that at present, the coverage of its products in single department surgery is close to 10% of the total annual domestic surgery; Xu Weijie revealed that in order to ensure data security, its product deployment is a combination of software and hardware, that is, the server is directly installed in the hospital to ensure The data is “not discharged”.

Talking about industry barriers, in Xu Weijie’s view, medical big data to serve medicine and medical treatment, you have to understand the entire ecological environment of the medical needs, such as scientific research, management, clinical, quality control, etc., this is a set Professional language system; combined with artificial intelligence, big data, and another set of independent languages, it is not easy to integrate the two well, it needs theory, practical, and true. Clinical appeal.