https://www.selleckchem.com/products/SGI-1776.html
BACKGROUND 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. METHODS Patients that underwent pancreaticoduodenectomy from 2014 to 2018 at a single institution were iden
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