A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost.

Journal: Journal of the American College of Radiology : JACR
PMID:

Abstract

For data science tools to mature and become integrated into routine clinical practice, they must add value to patient care by improving quality without increasing cost, by reducing cost without changing quality, or by both reducing cost and improving quality. Artificial intelligence (AI) algorithms have potential to augment data-driven quality improvement for radiologists. If AI tools are adopted with population health goals in mind, the structure of value-based payment models will serve as a framework for reimbursement of AI that does not exist in the fee-for-service system.

Authors

  • Lauren Parks Golding
    Triad Radiology Associates, Winston Salem, North Carolina. Electronic address: laurengoldingmd@gmail.com.
  • Gregory N Nicola
    Hackensack Radiology Group, PA, River Edge, New Jersey.