Dashboarding to Monitor Machine-Learning-Based Clinical Decision Support Interventions.
Existing monitoring of machine-learning-based clinical decision support (ML-CDS) is focused predominantly on the ML outputs and accuracy thereof. Improving patient care requires not only accurate algorithms but also systems of care that enable the output of these algorithms to drive specific actions by care teams, necessitating expanding their monitoring.
Author(s): Hekman, Daniel J, Barton, Hanna J, Maru, Apoorva P, Wills, Graham, Cochran, Amy L, Fritsch, Corey, Wiegmann, Douglas A, Liao, Frank, Patterson, Brian W
DOI: 10.1055/a-2219-5175