Login / Signup

Identification of perioperative pulmonary aspiration in children using quality assurance and hospital administrative billing data.

Lisa EislerGrace HuangKa-Eun M LeeJennifer A BusseMing SunAlbert Y LinLena S SunCaleb Ing
Published in: Paediatric anaesthesia (2018)
Quality assurance data offer an efficient way to measure the incidence of rare events, but may underestimate perioperative complications. International Classification of Diseases, Ninth Revision codes for aspiration used as a secondary data source were nonspecific for perioperative aspiration, but when combined with record review yielded a 30% increase in identified cases of aspiration over quality assurance data alone. The use of administrative data therefore holds potential for supplementing quality assurance studies of rare complications.
Keyphrases
  • electronic health record
  • big data
  • ultrasound guided
  • patients undergoing
  • cardiac surgery
  • risk factors
  • healthcare
  • young adults
  • emergency department
  • data analysis
  • climate change
  • artificial intelligence