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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Carl V. Asche & Brian Seal & Kristijan H. Kahler & Elisabeth M. Oehrlein & Meredith Greer Baumgartner, 2017. "Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues," PharmacoEconomics, Springer, vol. 35(8), pages 759-765, August.
    • Handle: RePEc:spr:pharme:v:35:y:2017:i:8:d:10.1007_s40273-017-0513-5
    DOI: 10.1007/s40273-017-0513-5
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    Cited by:

    1. Elisabeth M. Oehrlein & Jennifer S. Graff & Jason Harris & Eleanor M. Perfetto, 2019. "Patient-Community Perspectives on Real-World Evidence: Enhancing Engagement, Understanding, and Trust," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(4), pages 375-381, August.
    2. Kelly Hosking & Geoffrey Stewart & Mikaela Mobsby & Steven Skov & Yuejen Zhao & Jiunn-Yih Su & Steven Tong & Peter Nihill & Joshua Davis & Christine Connors & Jane Davies, 2020. "Data linkage and computerised algorithmic coding to enhance individual clinical care for Aboriginal people living with chronic hepatitis B in the Northern Territory of Australia – Is it feasible?," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.

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