Development of a Keyword-Based Search Strategy to Identify Gender Diverse Youth in Electronic Medical Records

Amanda N. Burnside; Jennifer A. Hoffmann; Douglas Lorenz; Jessica Walter; Johnny Berona; Aron Janssen

doi:10.1089/trgh.2023.0182

Development of a Keyword-Based Search Strategy to Identify Gender Diverse Youth in Electronic Medical Records

Amanda N. Burnside^*, Jennifer A. Hoffmann, Douglas Lorenz, Jessica Walter, Johnny Berona, Aron Janssen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

A retrospective cross-sectional study of 3.5 years of Emergency Department (ED) encounters was performed with the goal of developing an electronic medical record (EMR) search strategy to identify transgender and gender diverse (TGD) youth. A search of nine keywords to identify TGD youth was conducted in the EMR, and text from clinician notes was extracted and reviewed. Among 15,413 ED encounters, 1,126 keywords were identified, and 91.2% were classified as TGD. Final dataset classified 578 ED encounters (410 unique youth) as TGD. The study offers a feasible technique to identify and prioritize TGD youth in health research using EMR data.

Original language	English (US)
Journal	Transgender Health
DOIs	https://doi.org/10.1089/trgh.2023.0182
State	Accepted/In press - 2024

Funding

This work was supported by Stanley Manne Children\u2019s Research Institute at Ann and Robert H. Lurie Children\u2019s Hospital of Chicago through the Mental Health Springboard Award (2022) and the Children\u2019s Research Fund Junior Board at Ann & Robert H. Lurie Children\u2019s Hospital of Chicago.

Keywords

electronic medical record
gender diverse
health care
keyword search
transgender

ASJC Scopus subject areas

Gender Studies
Medicine (miscellaneous)

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10.1089/trgh.2023.0182

Cite this

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title = "Development of a Keyword-Based Search Strategy to Identify Gender Diverse Youth in Electronic Medical Records",

abstract = "A retrospective cross-sectional study of 3.5 years of Emergency Department (ED) encounters was performed with the goal of developing an electronic medical record (EMR) search strategy to identify transgender and gender diverse (TGD) youth. A search of nine keywords to identify TGD youth was conducted in the EMR, and text from clinician notes was extracted and reviewed. Among 15,413 ED encounters, 1,126 keywords were identified, and 91.2% were classified as TGD. Final dataset classified 578 ED encounters (410 unique youth) as TGD. The study offers a feasible technique to identify and prioritize TGD youth in health research using EMR data.",

keywords = "electronic medical record, gender diverse, health care, keyword search, transgender",

author = "Burnside, {Amanda N.} and Hoffmann, {Jennifer A.} and Douglas Lorenz and Jessica Walter and Johnny Berona and Aron Janssen",

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year = "2024",

doi = "10.1089/trgh.2023.0182",

language = "English (US)",

journal = "Transgender Health",

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T1 - Development of a Keyword-Based Search Strategy to Identify Gender Diverse Youth in Electronic Medical Records

AU - Burnside, Amanda N.

AU - Hoffmann, Jennifer A.

AU - Lorenz, Douglas

AU - Walter, Jessica

AU - Berona, Johnny

AU - Janssen, Aron

PY - 2024

Y1 - 2024

N2 - A retrospective cross-sectional study of 3.5 years of Emergency Department (ED) encounters was performed with the goal of developing an electronic medical record (EMR) search strategy to identify transgender and gender diverse (TGD) youth. A search of nine keywords to identify TGD youth was conducted in the EMR, and text from clinician notes was extracted and reviewed. Among 15,413 ED encounters, 1,126 keywords were identified, and 91.2% were classified as TGD. Final dataset classified 578 ED encounters (410 unique youth) as TGD. The study offers a feasible technique to identify and prioritize TGD youth in health research using EMR data.

AB - A retrospective cross-sectional study of 3.5 years of Emergency Department (ED) encounters was performed with the goal of developing an electronic medical record (EMR) search strategy to identify transgender and gender diverse (TGD) youth. A search of nine keywords to identify TGD youth was conducted in the EMR, and text from clinician notes was extracted and reviewed. Among 15,413 ED encounters, 1,126 keywords were identified, and 91.2% were classified as TGD. Final dataset classified 578 ED encounters (410 unique youth) as TGD. The study offers a feasible technique to identify and prioritize TGD youth in health research using EMR data.

KW - electronic medical record

KW - gender diverse

KW - health care

KW - keyword search

KW - transgender

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JO - Transgender Health

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ER -

Development of a Keyword-Based Search Strategy to Identify Gender Diverse Youth in Electronic Medical Records

Abstract

Funding

Keywords

ASJC Scopus subject areas

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