Quality and Data Science

Applications of data science technologies including machine learning and artificial intelligence (AI) for the radiologic sciences are rapidly proliferating. Although image analysis has captured much of our attention, AI and advanced data analytics tools to improve quality, workflow, and patient experience are gaining importance [1,2]. The Triple Aim for health care in  the United States [3], later modified to the Quadruple Aim [4,5], proposes four areas for performance improvement in medicine: improving the overall health of the population, improving the individual experience of care, improving the work life of health care providers, and reducing per capita cost s.
Source: Journal of the American College of Radiology : JACR - Category: Radiology Authors: Tags: Introduction to the special issue Source Type: research