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Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer.

Meghan E LindsaySophia de OliveiraKate SciaccaCharlotta LindvallPrasanna J Ananth
Published in: JCO clinical cancer informatics (2024)
A high proportion of decedents attained specified EOLC-QMs more than 30 days before death. Our findings indicate that NLP is a feasible approach to measuring quality of care for children with cancer at the end of life and is ripe for multi-center research and quality improvement.
Keyphrases
  • quality improvement
  • papillary thyroid
  • young adults
  • squamous cell
  • healthcare
  • patient safety
  • autism spectrum disorder
  • lymph node metastasis
  • machine learning
  • artificial intelligence