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Improving Perfect Electronic Health Records and Integrated Health Information in China: A Case on Disease Management of Diabetes

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Health Information Science (HIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7798))

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Abstract

To examine the role of EHRs in disease management diabetes and other favorable factors, explore feasible strategy for improving the developing EHRs by perfecting top-designing and integration.

The study adopt literature review method, reviews the research literature on EHRs systems. Data of three provinces come from the China Fourth National Health Survey 2008.

Data analysis reveals the gap in diabetes management and the limitation use of data for intervention. Diabetes management has been incorporated into the national package of basic public health service, but not high proportion of EHRs for diabetic patients. It suggest that the effort for establishing links between use of EHRs and disease management is needed for moving forward the integration, due to EHR play unique role for evidence-based on chronic disease management. To accelerate making progress, it not only need to build the implement framework, but the top-designing framework and targeted guidelines.

EHRs’ standardization and quality is a key to form good practice. Developing of EHRs’ is beneficial chronic disease management and intervention, but need to formulate right policy and practice in perfecting EHRs’ system itself and integration with disease management system current.

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Ran, R., Zhao, C., Xu, X., Yao, G. (2013). Improving Perfect Electronic Health Records and Integrated Health Information in China: A Case on Disease Management of Diabetes. In: Huang, G., Liu, X., He, J., Klawonn, F., Yao, G. (eds) Health Information Science. HIS 2013. Lecture Notes in Computer Science, vol 7798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37899-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-37899-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37898-0

  • Online ISBN: 978-3-642-37899-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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