Health Care Cost Reductions with Machine Learning-Directed Evaluations during Radiation Therapy - An Economic Analysis of a Randomized Controlled Study.
Divya NatesanEric L EisensteinSamantha M ThomasNeville C W EclovNicole H DalalSarah J StephensMary MalickiStacey ShieldsAlyssa CobbYvonne M MoweryDonna NiedzwieckiJessica D TenenbaumManisha PaltaJulian C HongPublished in: NEJM AI (2024)
In this economic analysis of a randomized controlled, health care ML study, mandatory supplemental evaluations for ML-identified high-risk patients were associated with both reduced total medical costs and improved clinical outcomes. Further study is needed to determine whether economic results are generalizable. (Funded in part by The Duke Endowment, The Conquer Cancer Foundation, the Duke Department of Radiation Oncology, and the National Cancer Institute of the National Institutes of Health [R01CA277782]; ClinicalTrials.gov number, NCT04277650.).