Volume of surgery and medical quality: A big data analysis of hip hemiarthroplasty

Background and purpose: Hemiarthroplasty of the hip is one of most common surgery for the patient with the displaced moral neck fracture. Methods: This study analyzed the big data sample of national database of all hospital admissions underwent hip hemiarthroplasty from the date of January 2004 to December 2006. Results: Lots of insights were found from big data relational analysis techniques, and the result shows that the less provider volume of the surgeon or more Charlson comorbidity index (CCI) scores let to higher admission mortality and complication rate. Conclusions: The evidence of this study shows that the surgeon volume affects the medical quality and utilization and should apply on the reference of reimbursements and to evaluate the performance of surgeon for reward.