Analysis on the Regional Application and Development Policies of Healthcare Big Data Based on Policy Text Measurement

Corresponding author: MU Yan, muyan081012@163.com

DOI: 10.12201/bmr.202011.00010

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  Abstract: Purpose/Significance To analyse the priorities and regional characteristics of regional healthcare big data policies. Methods/Process Using NVivo12 software to perform word frequency analysis and text encoding processing on 13 regional health and medical big data application development policies, aiming at consolidating the foundation of healthcare big data application, comprehensively deepening the application of healthcare big data, standardizing and promoting Internet + healthcare services and strengthening the healthcare big data support system. Commonalities and characteristics of different regions in the process of policy formulation and implementation was also analyzed. Results/Conclusions Regional policies are generally in accordance with national policies. The foundation of healthcare big data application is the basic task. The construction of healthcare big data support system still needs to be strengthened. The application and service of healthcare big data show regional characteristics.

  Key words: healthcare big data; policy text analysis; quantitative analysis

  Submit time: 11 December 2020

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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