title: Big Data, Big Research: Implementing Population Health-Based Research Models and Integrating Care to Reduce Cost and Improve Outcomes.
abstract: Recent trends in clinical research have moved attention toward reporting clinical outcomes and resource consumption associated with various care processes. This change is the result of technological advancement and a national effort to critically assess health care delivery. As orthopedic surgeons traverse an unchartered health care environment, a more complete understanding of how clinical research is conducted using large data sets is necessary. The purpose of this article is to review various advantages and disadvantages of large data sets available for orthopaedic use, examine their ideal use, and report how they are being implemented nationwide.
authors.affiliation: Division of Orthopaedics and Rehabilitation, Southern Illinois University School of Medicine, 701 North First Street, Springfield, IL 62781, USA.
authors.forename: Afshin A
authors.initials: AA
authors.lastname: Anoushiravani
authors.affiliation: Division of Orthopaedics and Rehabilitation, Southern Illinois University School of Medicine, 701 North First Street, Springfield, IL 62781, USA.
authors.forename: Jason
authors.initials: J
authors.lastname: Patton
authors.affiliation: Division of Orthopaedics and Rehabilitation, Southern Illinois University School of Medicine, 701 North First Street, Springfield, IL 62781, USA.
authors.forename: Zain
authors.initials: Z
authors.lastname: Sayeed
authors.affiliation: Division of Orthopaedics and Rehabilitation, Southern Illinois University School of Medicine, 701 North First Street, Springfield, IL 62781, USA.
authors.forename: Mouhanad M
authors.initials: MM
authors.lastname: El-Othmani
authors.affiliation: Department of Orthopaedic and Sports Medicine, Detroit Medical Center, 311 Mack Avenue, 5th Floor, Detroit, MI 48201, USA. Electronic address: kjsaleh@gmail.com.
authors.forename: Khaled J
authors.initials: KJ
authors.lastname: Saleh
mesh_terms: D017048:Health Care Costs / Q000639:trends*; D006302:Health Services Research / Q000458:organization & administration*; D006801:Humans; D009985:Orthopedics / Q000458:organization & administration*; D010043:Outcome and Process Assessment, Health Care; D058996:Quality Improvement; D014481:United States
keywords: Big data; Medicare data; NIS; NSQIP; Research advances