AIMC Topic: Fee-for-Service Plans
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Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study.
PloS one
Jul 17, 2020
OBJECTIVE: To develop and validate a machine-learning algorithm to improve prediction of incident OUD diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions.
Artificial intelligence in Medicare: utilization, spending, and access to AI-enabled clinical software.
The American journal of managed care
May 1, 2024
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified ...
A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost.
Journal of the American College of Radiology : JACR
Sep 1, 2019
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...
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