Harnessing natural language processing to assess quality of end-of-life care for children with cancer

Harnessing natural language processing to assess quality of end-of-life care for children with cancer
JCO Clinical Cancer Informatics; Meghan E Lindsay, Sophia de Oliveira, Kate Sciacca, Charlotta Lindvall, Prasanna J Ananth; 9/24
Data on end-of-life care (EOLC) quality, assessed through evidence-based quality measures (QMs), are difficult to obtain. Natural language processing (NLP) enables efficient quality measurement and is not yet used for children with serious illness. Conclusion: 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.