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Problems with research methods in medical device big data analytics

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Abstract

This paper reviews the literature as well as subject matter expert opinions and examines how research methods are being applied in medical device big data analytics. The focus of the study is to identify benefits and illustrate problems when applying certain research methods with healthcare big data. The intended audience is high-level healthcare decision makers, data science researchers, and healthcare big data practitioners. The key results address unintended access to healthcare data, statistical sampling violations with the use of healthcare big data, and the challenges associated with statistical false positives in big data. Solutions for these problems are proposed along with recommendations for further research.

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  1. School of Management and Technology, APPC Research and Walden University, 100 Washington Ave South, Suite 900, Minneapolis, MN, 55401, USA

    Kenneth David Strang

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Strang, K.D. Problems with research methods in medical device big data analytics. Int J Data Sci Anal 9, 229–240 (2020). https://doi.org/10.1007/s41060-019-00176-2

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