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The Accuracy of Diagnostic Codes in Electronic Medical Records in Japan

  • Systems-Level Quality Improvement
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References

  1. Kullo, I.J., Fan, J., Pathak, J., Savova, G.K., Ali, Z., Chute, C.G. (2010) Leveraging informatics for genetic studies: Use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease. J Am Med Inform Assoc 17:568–574. https://doi.org/10.1136/jamia.2010.004366

  2. Williams, R., Kontopantelis, E., Buchan, I., Peek, N. (2017) Clinical code set engineering for reusing EHR data for research: A review. J Biomed Inform 70:1–13. https://doi.org/10.1016/j.jbi.2017.04.010

  3. Gon, Y., Kabata, D., Yamamoto, K., Shintani, A., Todo, K., Mochizuki, H., Sakaguchi, M. (2017) Validation of an algorithm that determines stroke diagnostic code accuracy in a Japanese hospital-based Cancer registry using electronic medical records. BMC Med Inform Decis Mak 17:157. https://doi.org/10.1186/s12911-017-0554-x

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Acknowledgements

We would like to thank Mr. Taizo Murata for his assistance of data acquisition.

Funding

This study was funded by JSPS KAKENHI (grant number JP15K08915).

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Authors and Affiliations

  1. Department of Neurology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan

    Yasufumi Gon & Hideki Mochizuki

  2. Department of Medical Informatics, Wakayama Medical University, 811-1, Kimiidera, Wakayama, 641-8509, Japan

    Keiichi Yamamoto

Authors
  1. Yasufumi Gon
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  2. Keiichi Yamamoto
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  3. Hideki Mochizuki
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Corresponding author

Correspondence to Yasufumi Gon.

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Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (The ethics committee for clinical research at Osaka University Hospital, Approval No. 16160) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was waived due to the retrospective nature of the study.

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Gon, Y., Yamamoto, K. & Mochizuki, H. The Accuracy of Diagnostic Codes in Electronic Medical Records in Japan. J Med Syst 43, 315 (2019). https://doi.org/10.1007/s10916-019-1450-y

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  • DOI: https://doi.org/10.1007/s10916-019-1450-y

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