Care home resident identification: A comparison of address matching methods with Natural Language Processing.

ABSTRACT:

Background

Care home residents are a highly vulnerable group, but identifying care home residents in routine data is challenging. This study aimed to develop and validate Natural Language Processing (NLP) methods to identify care home residents from primary care address records.

Methods

The proposed system applies an NLP sequential filtering and preprocessing of text, then the calculation of similarity scores between general practice (GP) addresses and care home registered addresses. Performance was evaluated in a diagnostic test study comparing NLP prediction to independent, gold-standard manual identification of care home addresses. The analysis used population data for 771,588 uniquely written addresses for 819,911 people in two NHS Scotland health board regions. The sour

SUBMITTER: Suarez-Paniagua V 

PROVIDER: S-EPMC11620595 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature