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Data science is the multi-disciplinary field that combines statistics, mathematics, and computer science to analyze structured and unstructured data. Although data science applications, such as big data analytics and artificial intelligence, have the potential to transform health care, health care organizations face significant challenges to widespread benefits.
For this discussion, briefly discuss one example of a data science application in health care, including benefits, barriers, and recommendations for policy changes to address the barriers.
USE ANY ONE OF THESE REFERENCES:
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123–1131.
Roski, J., Bo-Linn, G. W., & Andrews, T. A. (2014). Creating value in health care through big data: Opportunities and policy implications. Health Affairs, 33(7), 1115–1122.
Sahni, N. R., Huckman, R. S., Chigurupati, A., & Cutler, D. M. (2017). The IT transformation health care needs. Harvard Business Review, 95(6), 128–138.
Strome, T. L. (2013). Advanced analytics in healthcare. In Healthcare analytics for quality and performance improvement (pp. 183–203). Hoboken, NJ: John Wiley & Sons.
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