domingo, 9 de octubre de 2016

Big Data, Big Research: Implementing Population Health-Based Research Models and Integrating Care to Reduce Cost and Improve Outcomes. - PubMed - NCBI

Big Data, Big Research: Implementing Population Health-Based Research Models and Integrating Care to Reduce Cost and Improve Outcomes. - PubMed - NCBI



 2016 Oct;47(4):717-24. doi: 10.1016/j.ocl.2016.05.008. Epub 2016 Aug 8.

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

KEYWORDS:

Big data; Medicare data; NIS; NSQIP; Research advances

[PubMed - in process]