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Using big data for quality assessment in oncology
James R Broughman1,2, Ronald C Chen1,2,3
1Department of Radiation Oncology, the University of North Carolina at Chapel Hill, CB #7512, Chapel Hill, NC 27599, USA.
Abstract:
There is increasing attention in the US healthcare system on the delivery of high-quality care, an issue central to oncology. In the report 'Crossing the Quality Chasm', the Institute of Medicine identified six aims for improving healthcare quality: safe, effective, patient-centered, timely, efficient and equitable. This article describes how current big data resources can be used to assess these six dimensions, and provides examples of published studies in oncology. Strengths and limitations of current big data resources for the evaluation of quality of care are also discussed. Finally, this article outlines a vision where big data can be used not only to retrospectively assess the quality of oncologic care, but help physicians deliver high-quality care in real time.

