Multi-institutional quality improvement algorithm for home nasogastric tube care for neonates.
Margaret B MitchellKevin CallansCarmina ErdeiSiliva PatriziLauren FiechtnerCassandra KelleherAllan M GoldsteinPaul LerouRodica TurcuMary FracchiaMarcella RadanoPamela DodrillJessica SorboCheryl HershMollie WarrenChristopher HartnickPublished in: International journal of pediatric otorhinolaryngology (2024)
This is an interdisciplinary and multi-institutional effort to standardize a pathway for neonates discharged home from the NICU with NGTs. This has the potential to lead to earlier discharge, better outcomes for patients and families, as well as lower costs. This best practice algorithm serves as an example pathway applicable across fields of medicine.
Keyphrases
- quality improvement
- healthcare
- end stage renal disease
- machine learning
- deep learning
- ejection fraction
- low birth weight
- primary care
- preterm infants
- chronic kidney disease
- patient safety
- palliative care
- prognostic factors
- peritoneal dialysis
- patient reported outcomes
- metabolic syndrome
- neural network
- adipose tissue
- chronic pain
- pain management
- insulin resistance
- preterm birth
- weight loss