Welcome to the InfoSci Platform
Improving the Quality of Healthcare Research Data Sets

Improving the Quality of Healthcare Research Data Sets

Biswadip Ghosh
Copyright: © 2010 |Pages: 16
ISBN13: 9781605669885|ISBN10: 1605669881|EISBN13: 9781605669892
DOI: 10.4018/978-1-60566-988-5.ch118
Cite Chapter Cite Chapter

MLA

Ghosh, Biswadip. "Improving the Quality of Healthcare Research Data Sets." Health Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Joel J.P.C. Rodrigues, IGI Global, 2010, pp. 1826-1841. https://doi.org/10.4018/978-1-60566-988-5.ch118

APA

Ghosh, B. (2010). Improving the Quality of Healthcare Research Data Sets. In J. Rodrigues (Ed.), Health Information Systems: Concepts, Methodologies, Tools, and Applications (pp. 1826-1841). IGI Global. https://doi.org/10.4018/978-1-60566-988-5.ch118

Chicago

Ghosh, Biswadip. "Improving the Quality of Healthcare Research Data Sets." In Health Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Joel J.P.C. Rodrigues, 1826-1841. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-988-5.ch118

Export Reference

Mendeley
Favorite

Abstract

The goal of many healthcare research projects and evidence based medicine programs within healthcare organizations is to support clinical care team members by mining evidence from patient outcomes to support future treatment recommendations. In these research studies, the data is often extracted from secondary sources such as patient health records, benefits systems, and other nonresearch data sources. Good data is important to facilitate a good research study and to support clinical decisions using the results. Often multiple applicable healthcare data sources are available for a research study, some of which may be internal to the organization, while others may be external, such as state or national databases. This chapter attempts to develop an understanding of how the quality of data for healthcare research data sets can be established and improved when using secondary data sources, such as clinical or benefits databases, which were created without primary intentions for research use.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.