Development of a natural language processing algorithm to extract social determinants of health from clinician notes.

Hamed Zaribafzadeh¹, Jacqueline B Henson², Norine W Chan¹, Ursula Rogers¹, Wendy Webster¹, Tyler Schappe³, Fan Li⁴, Roland A Matsouaka³, Allan D Kirk¹, Ricardo Henao⁵, Lisa M McElroy⁶

¹Department of Surgery, Duke University, Durham, North Carolina, USA.

²Department of Medicine, Duke University, Durham, North Carolina, USA.

³Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.

⁴Department of Statistical Science, Duke University, Durham, North Carolina, USA.

⁵Department of Surgery, Duke University, Durham, North Carolina, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.

⁶Department of Surgery, Duke University, Durham, North Carolina, USA. Electronic address: lisa.mcelroy@duke.edu.

PubMed PMC DOI PDF

Abstract

Disparities in access to the organ transplant waitlist are well-documented, but research into modifiable factors has been limited due to a lack of access to organized prewaitlisting data. This study aimed to develop a natural language processing (NLP) algorithm to extract social determinants of health (SDOH) from free-text notes and quantify the association of SDOH with access to the transplant wa…

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