Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues

Carl V. Asche (), Brian Seal, Kristijan H. Kahler, Elisabeth M. Oehrlein and Meredith Greer Baumgartner
Additional contact information
Carl V. Asche: University of Illinois College of Medicine at Peoria
Brian Seal: Global Health Outcomes, Takeda
Kristijan H. Kahler: Novartis Pharmaceuticals Corporation
Elisabeth M. Oehrlein: University of Maryland
Meredith Greer Baumgartner: University of Illinois College of Medicine at Peoria

PharmacoEconomics, 2017, vol. 35, issue 8, No 2, 759-765

Abstract: Abstract Although the analysis of ‘big data’ holds tremendous potential to improve patient care, there remain significant challenges before it can be realized. Accuracy and completeness of data, linkage of disparate data sources, and access to data are areas that require particular focus. This article discusses these areas and shares strategies to promote progress. Improvement in clinical coding, innovative matching methodologies, and investment in data standardization are potential solutions to data validation and linkage problems. Challenges to data access still require significant attention with data ownership, security needs, and costs representing significant barriers to access.

Keywords: Medical Expenditure Panel Survey; Data Ownership; Unmeasured Confound; Safe Harbor; Payment Model (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s40273-017-0513-5

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