Human-Machine Teaming Is Key To AI Adoption: Clinicians’ Experiences With A Deployed Machine Learning System
Nature Medicine published three peer-reviewed articles showing how, for the first time, AI has been shown to reduce mortality in a hospital setting using Bayesian Health’s Adaptive AI solution.
The third of three studies is a qualitative analysis from the provider perspective, surveying important aspects that providers are looking for and perceived barriers to adoption of machine-learning technologies in their practice.
NOTE – At the core of the research was an AI system referenced as Targeted Real-time Early Warning System (TREWS). Initially developed at Johns Hopkins, Bayesian Health has commercialized and advanced the methodology, integrating it into a broader adaptive AI platform that enables integration, monitoring, and tuning to account for real-world variations in populations and workflows and scaling to multiple condition areas. Bayesian led and managed the deployment across all five emergency departments and hospitals in the study.
