Data quality assessment for comparative effectiveness research in distributed data networks.

ABSTRACT:

Background

Electronic health information routinely collected during health care delivery and reimbursement can help address the need for evidence about the real-world effectiveness, safety, and quality of medical care. Often, distributed networks that combine information from multiple sources are needed to generate this real-world evidence.

Objective

We provide a set of field-tested best practices and a set of recommendations for data quality checking for comparative effectiveness research (CER) in distributed data networks.

Methods

Explore the requirements for data quality checking and describe data quality approaches undertaken by several existing multi-site networks.

Results

There are no established standards regarding how to evaluate the quality of electron

SUBMITTER: Brown JS 

PROVIDER: S-EPMC4306391 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature