The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

Affiliation

Kaiser Permanente Southern California, Pasadena, CA, USA. Electronic address: [Email]

Abstract

Local reactions are the most common vaccine-related adverse event. There is no specific diagnosis code for local reaction due to vaccination. Previous vaccine safety studies used non-specific diagnosis codes to identify potential local reaction cases and confirmed the cases through manual chart review. In this study, a natural language processing (NLP) algorithm was developed to identify local reaction associated with tetanus-diphtheria-acellular pertussis (Tdap) vaccine in the Vaccine Safety Datalink.

Keywords

Clinical notes,Electronic health record,Natural language processing,Vaccine adverse event,Vaccine safety,

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