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The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization.

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Title: The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization.
Authors: N'Diaye, Arielle1 (AUTHOR), Qiao, Shan1 (AUTHOR) shanqiao@mailbox.sc.edu, Garrett, Camryn1 (AUTHOR), Khushf, George2 (AUTHOR), Zhang, Jiajia3 (AUTHOR), Li, Xiaoming1 (AUTHOR), Olatosi, Bankole4 (AUTHOR)
Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-14. 14p.
Database: Academic Search Ultimate
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Header DbId: asn
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An: 190701036
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PubType: Academic Journal
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  Data: The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2025, Vol. 27, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190701036
RecordInfo BibRecord:
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        Value: 10.2196/71388
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        Text: English
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        PageCount: 14
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      – TitleFull: The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization.
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            NameFull: N'Diaye, Arielle
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            NameFull: Li, Xiaoming
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            – D: 01
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              Text: 2025
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              Y: 2025
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