A Multi-Institutional Natural Language Processing Pipeline to Extract Performance Status From Electronic Health Records.

ABSTRACT:

Purpose

Performance status (PS), an essential indicator of patients' functional abilities, is often documented in clinical notes of patients with cancer. The use of natural language processing (NLP) in extracting PS from electronic medical records (EMRs) has shown promise in enhancing clinical decision-making, patient monitoring, and research studies. We designed and validated a multi-institute NLP pipeline to automatically extract performance status from free-text patient notes.

Patients and methods

We collected data from 19,481 patients in Harris Health System (HHS) and 333,862 patients from veteran affair's corporate data warehouse (VA-CDW) and randomly selected 400 patients from each data source to train and validate (50%) and test (50%) the proposed pipeline. We designe

SUBMITTER: Maghsoudi A 

PROVIDER: S-EPMC11369884 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature