Literature DB >> 31494721

The Accuracy of Diagnostic Codes in Electronic Medical Records in Japan.

Yasufumi Gon1, Keiichi Yamamoto2, Hideki Mochizuki3.   

Abstract

Mesh：

Year:  2019        PMID： 31494721     DOI： 10.1007/s10916-019-1450-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN： 0148-5598            Impact factor:   4.460


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  3 in total

Review 1.  Clinical code set engineering for reusing EHR data for research: A review.

Authors:  Richard Williams; Evangelos Kontopantelis; Iain Buchan; Niels Peek
Journal:  J Biomed Inform       Date:  2017-04-22       Impact factor: 6.317

2.  Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease.

Authors:  Iftikhar J Kullo; Jin Fan; Jyotishman Pathak; Guergana K Savova; Zeenat Ali; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Validation of an algorithm that determines stroke diagnostic code accuracy in a Japanese hospital-based cancer registry using electronic medical records.

Authors:  Yasufumi Gon; Daijiro Kabata; Keichi Yamamoto; Ayumi Shintani; Kenichi Todo; Hideki Mochizuki; Manabu Sakaguchi
Journal:  BMC Med Inform Decis Mak       Date:  2017-12-04       Impact factor: 2.796
  3 in total

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