Introduction to medical information big data

  Birth, aging, illness and death are phenomena that accompany everyone throughout their lives. Health issues involve the vital interests of every citizen. Medical care plays an important role in people's daily lives. Medical security is a priority area related to people's livelihood and well-being. A series of social and public health issues such as the aging of society and the 2019 COVID-19 epidemic have caused more local governments and residents to greatly increase their attention to medical resources. In the foreseeable future, the supply and acquisition of medical resources will play an increasingly important role in improving urban service levels and competitiveness, and in helping people settle and choose careers. ˆ However, the problem of insufficient and uneven distribution of medical resources in my country has not yet been well solved. For many years, the public voice of "seeking a doctor is difficult and expensive" has always existed. The distribution of medical resources is seriously unbalanced, and medical resources vary greatly in different provinces and cities. In response to these problems, my country has implemented a series of medical system reform measures, such as social medical insurance system reform, hospital property rights reform, drug production and distribution system reform, and promotion of hierarchical diagnosis and treatment. The effects of relevant policies have yet to be tested. ˆ ˆ  Whether it is to understand the supply and distribution of medical resources or to evaluate the effect of medical reform policies, it is inseparable from the microscopic big data of the distribution of medical resources in reality. Given that the medical industry is a highly capital- and technology-intensive public welfare undertaking, quantity cannot fully describe the distribution characteristics of medical resources. It is also necessary to pay attention to hospital levels, distribution of medical talents, etc.  

 Based on this, the CnOpenData data team launched medical information big data. This data contains two versions of medical information. Each version contains three sub-tables of hospital information, department information and doctor information, covering the detailed location and hospital level of the hospital; The name of the department, the hospital to which it is affiliated, and the number of doctors; as well as the doctors' resumes, areas of expertise, physician levels and other information provide high-quality big data samples for related research. Each version differs in terms of fields and data volume, and scholars can freely choose according to their own research needs.

Time interval

• A source: 2019 version, April 30, 2022 version
• BSource: Version on April 30, 2022

Release Notes

• Source A and source B come from different information sources. Although their table settings are the same, their coverage content is different;
• In terms of covered subjects, source A covers hospital information at all levels across the country, source B mainly covers hospital information at level 3A and above across the country, and source A has a larger amount of data;
• In terms of fields, the fields covered by source A and source B are different. The field information width of source B is better than that of source A, such as new fields such as hospital type, department introduction, doctor education/professional/school label, etc.;

Data scale

Field display

Sample data

Hospital Information Form-A Source

Hospital Information Form-B Source

Department Information Table-A Source

Department Information Table-B Source

Doctor Information Form-A Source

Doctor Information Form-B Source

Data update frequency

Annual Update

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