Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer

• Ashwin Ramaswamy,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

  https://orcid.org/0000-0002-8816-7838

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• Michael Hung,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Joe Pelt,

  Roles Data curation, Formal analysis, Methodology, Resources, Software, Validation, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Parsa Iranmahboub,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Lina P. Calderon,

  Roles Data curation, Formal analysis, Validation, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Ian S. Scherr,

  Roles Data curation, Investigation

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Gerald Wang,

  Roles Resources, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• David Green,

  Roles Resources, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Neal Patel,

  Roles Resources, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Timothy D. McClure,

  Roles Resources, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Christopher Barbieri,

  Roles Resources, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Jim C. Hu,

  Roles Resources, Writing – review & editing

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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• Charlotta Lindvall,

  Roles Methodology, Software, Validation, Writing – review & editing

  Affiliations Dana Farber Cancer Center, Boston, Massachusetts, United States of America, Harvard Medical School, Boston, Massachusetts, United States of America

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• Douglas S. Scherr

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing

  * E-mail: dss2001@med.cornell.edu

  Affiliation Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America

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