Insights
Our Insights work takes a deeper dive into the health AI work we're doing — surfacing what we're learning as we build, evaluate, and deploy AI in real clinical and operational settings, and sharing that with the public.
AI Model Evaluations Build Trust & Drive Outcomes in Healthcare
Trust – and adoption – of AI in healthcare workflows is a complex challenge. Pre-deployment model evaluation provides health systems, clinicians, patients, developers, and regulators with reliable ways to validate AI performance and safety before it impacts care delivery.
Retrospective Evaluation of Adult Inpatient Deterioration Models
For health system leaders struggling with high rates of inpatient mortality and ICU transfers, evaluating AI/ML models that predict deterioration on local patient data can build clinician confidence and reveal operational tradeoffs for clinical workflows.