Tracking persistent postoperative opioid use: a proof-of-concept study demonstrating a use case for natural language processing.
Eri C SengSoraya MehdipourSierra SimpsonRodney Allanigue GabrielPublished in: Regional anesthesia and pain medicine (2023)
Access to unstructured data within the perioperative history can contextualize patients' opioid use and provide further insight into the opioid crisis, while at the same time improve care directly at the patient level. While these goals are in reach, future work is needed to evaluate how to best implement NLP within different healthcare systems for use in clinical decision support.
Keyphrases
- healthcare
- clinical decision support
- end stage renal disease
- electronic health record
- patients undergoing
- ejection fraction
- newly diagnosed
- pain management
- chronic kidney disease
- public health
- peritoneal dialysis
- chronic pain
- prognostic factors
- autism spectrum disorder
- case report
- quality improvement
- acute kidney injury
- social media
- artificial intelligence
- global health