I-SIRch: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations.

Journal: International journal of population data science
PMID:

Abstract

BACKGROUND: Maternity care is a complex system involving treatments and interactions between patients, healthcare providers, and the care environment. To enhance patient safety and outcomes, it is crucial to understand the human factors (e.g. individuals' decisions, local facilities) influencing healthcare. However, most current tools for analysing healthcare data focus only on biomedical concepts (e.g. health conditions, procedures and tests), overlooking the importance of human factors.

Authors

  • Mohit Kumar Singh
    Department of Computer Science, School of Science, Loughborough University, Loughborough, United Kingdom.
  • Georgina Cosma
    Department of Computer Science, School of Science, Loughborough University, Loughborough, United Kingdom.
  • Patrick Waterson
    School of Design and Creative Arts, Loughborough University, Loughborough, United Kingdom.
  • Jonathan Back
    Health Services Safety Investigations Body (HSSIB), United Kingdom.
  • Gyuchan Thomas Jun
    School of Design and Creative Arts, Loughborough University, Loughborough, United Kingdom.