Wake up medical big data drive medical new model

Since the opening of the hospital, OFweek Medical Network has helped doctors diagnose the disease and record the patient's medical history. Especially since the 1990s, with the advancement of medical information , the national hospitals have accumulated a large amount of electronic medical data. With the advent of the "big data" era, data sleeping in hospitals will be able to build medical models of disease and provide new services to medical and scientific researchers with the help of technologies such as artificial intelligence.

Medical Duyun is committed to “waking up data, innovating medical care”, and integrating its comprehensive medical data through auxiliary hospitals to create a new multi-center scientific research platform, clinical assistant decision-making platform and patient management platform.

The co-founders of Zhiduyun (Beijing) Technology Co., Ltd. are all from the medical and professional technology fields. Co-founder Gong Ruzhen, CEO Sun Wei, CTO Xu Jiming, CPO He Zhi and CDO Zhu Xi have worked in well-known financial institutions in the world or well-known Internet companies such as Baidu, Ali, and Gaode.

Wake up medical big data

(Doctor Cloud Service Schematic)

Wake up data and mine data value

With the continuous improvement of information technology, the hospital has completed the construction of electronic medical record system, laboratory inspection system, imaging system, etc., resulting in very large and complicated medical data, but from the current situation, the hospital's use of existing data Very low. CEO Sun Wei pointed out that the hospital's data is very valuable for medical diagnosis and has a very high reference value. Medical Duyun hopes that the auxiliary hospital will integrate and clean the hospital data, help the hospital to establish a “big data platform”, build a new medical data model, and fully exploit the value of the data.

Artificial intelligence to increase data value

Due to the different instruments, diagnostic criteria and even terms used in various hospitals, the standardization of medical data is a major pain point in the application of medical data. CTO Xu Jiming told the shell society to fold, in order to overcome and even solve this problem, Zhidu cloud defines a very complete set of terms from top to bottom, using specialized knowledge base technology to learn and mine for different medical scenarios. Data mapping, mapping data from different hospitals to relatively standard data descriptions, cleaning, screening, and categorizing the differentiated data to play the role of the platform and enhance the value of medical big data .

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