Surgery
-
Automated data extraction from the electronic medical record is fast, scalable, and inexpensive compared with manual abstraction. However, concerns regarding data quality and control for underlying patient variation when performing retrospective analyses exist. This study assesses the ability of summary electronic medical record metrics to control for patient-level variation in cost outcomes in pancreaticoduodenectomy. ⋯ Summary electronic medical record perioperative risk metrics predict patient-level cost variation as effectively as individual comorbidities in the pancreaticoduodenectomy population. Automated electronic medical record data extraction can expand the patient population available for retrospective analysis without the associated increase in human and fiscal resources that manual data abstraction requires.
-
Assessing composite measures of quality such as textbook outcome may be superior to focusing on individual parameters when evaluating hospital performance. The aim of the current study was to assess the impact of teaching hospital status on the occurrence of a textbook outcome after hepatopancreatic surgery. ⋯ The odds of achieving a textbook outcome after pancreatic and hepatic surgery was greater at major versus minor teaching hospitals; however, this effect was largely mediated by hepatopancreatic procedural volume. Patients and payers should focus on regionalization of pancreatic and liver resection to high-volume centers in an effort to optimize the chances of achieving a textbook outcome.