Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study.

doi:10.2196/68704

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Article

Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study.

JMIR medical informatics - 9 Apr 2025

Remaki Adam, Ung Jacques, Pages Pierre, Wajsburt Perceval, Liu Elise, Faure Guillaume, Petit-Jean Thomas, Tannier Xavier, Gérardin Christel

Abstract excerpt

BACKGROUND: Valuable insights gathered by clinicians during their inquiries and documented in textual reports are often unavailable in the structured data recorded in electronic health records (EHRs). OBJECTIVE: This study aimed to highlight that mining unstructured textual data with natural language processing techniques complements the available structured data and enables more comprehensive patient...

Read the complete abstract on PubMed

Topics

Humans
Natural Language Processing
Cohort Studies
Phenotype
Electronic Health Records

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Female

Data Mining

Male

Patient Discharge Summaries

Middle Aged

Autoimmune Diseases

Adult

Algorithms

Source

Open in PubMed Open full text

Identifiers

PMID: 40203304
DOI: 10.2196/68704
PMCID: PMC12018854

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