AI Article Synopsis
- The US healthcare system is increasingly focused on delivering high-quality care, especially in oncology, based on six aims identified by the Institute of Medicine: safe, effective, patient-centered, timely, efficient, and equitable.
- Current big data resources can assess these six dimensions, with examples from published studies in oncology illustrating their application.
- The article discusses the strengths and limitations of these big data resources and envisions their use for both retrospective evaluation and real-time delivery of high-quality oncologic care.
Article 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.
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| http://dx.doi.org/10.2217/cer-2015-0021 | DOI Listing |
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