Evidence-Based.
Peer-Reviewed. Proven.
Peer-reviewed studies, randomized controlled trials, and white papers documenting the clinical and financial outcomes of NeurixaHealthAI deployments across 200+ health systems.
Peer-Reviewed StudyPredicting Payer Denials Before Submission: A Multi-Site Validation Study of NeurixaHealthAI's Denial Prediction Engine
A prospective validation study across 14 health systems demonstrating 91.4% accuracy in predicting payer denials prior to claim submission, resulting in a 38% reduction in denial rates and $2.3M average annual revenue recovery per site.
Dr. Priya Nair, Dr. James Whitfield, Marcus Chen
Journal of Healthcare AI & Informatics · May 2026
Randomized Controlled Trial30-Day Readmission Prediction Using Multi-Modal AI: Results from a Randomized Controlled Trial
A 12-month RCT across 6 academic medical centers showing that AI-driven readmission risk alerts reduced 30-day readmissions by 22% and decreased average length of stay by 0.8 days when integrated into discharge planning workflows.
Dr. Sofia Reyes, Dr. Priya Nair
NEJM Catalyst Innovations in Care Delivery · April 2026
White PaperThe ROI of AI-Powered Prior Authorization: A 24-Month Outcomes Analysis
A longitudinal analysis of 200+ health system deployments showing that AI-automated prior authorization reduces average turnaround time from 3.2 days to 87 seconds, with a 4.2x average ROI within 12 months of deployment.
Marcus Chen, Aisha Okonkwo
NeurixaHealthAI White Paper Series · March 2026
Conducting Research with NeurixaHealthAI?
We partner with academic medical centers, health systems, and research institutions to publish outcomes data. Access de-identified datasets, co-author publications, and contribute to the evidence base for healthcare AI.