Case Study
How Mayo Clinic reduced cardiology readmissions by 23% using HealthCore's risk agent
A deep dive into the 6-month deployment of a MACE prediction model across 8 hospitals, from prompt design to clinician adoption.
Iterate, evaluate, deploy, and monitor AI agents across your entire care continuum — from triage to discharge and beyond.
One platform to take your clinical AI from prototype to production with confidence.
Craft, test, and refine clinical prompts with multi-modal EHR data in a HIPAA-safe workspace.
Measure accuracy, safety, and equity across diverse patient populations before every release.
Multi-environment deployments with clinician-in-the-loop gates from dev to production.
Continuous drift detection, bias auditing, and full HIPAA-compliant audit trails.
From prototyping with synthetic patients to post-deployment monitoring at scale.
HealthCore powers the workflows of world-class health systems with unmatched performance.
A rigorous, safety-first path to deploying AI that clinicians trust.
Build your agent in our HIPAA-compliant workspace. Test against de-identified patient cohorts and compare across 120+ clinical AI models.
Run clinical benchmarks across patient subgroups. Detect performance gaps before they harm underserved populations. Get sign-off from your clinical governance team.
Staged rollout with clinician-in-the-loop approval gates. Real-time drift detection and one-click rollback. Continuous improvement through physician feedback.
From academic medical centers to regional health systems, HealthCore is changing how AI gets to patients.
HealthCore reduced our time-to-deployment for new clinical AI models from 3 months to under 2 weeks — without cutting corners on safety validation.
The bias evaluation suite alone was worth it. We caught a significant performance gap in our sepsis model before it ever touched a patient.
Before HealthCore, iterating on our discharge summary AI was a nightmare. Now our physicians tune it themselves in the evaluation playground.
Case studies, best practices, and applied research for teams building responsible clinical AI.
A deep dive into the 6-month deployment of a MACE prediction model across 8 hospitals, from prompt design to clinician adoption.
Join 200+ health systems building safer, faster, and more equitable AI-powered care.