One of the most persistent breakdowns in healthcare isn’t diagnosis—it’s execution. Even when clinicians make the right treatment decision, delays in prescriptions, prior authorizations, and affordability often prevent patients from getting timely care.
A new partnership between OpenEvidence and Tandem is targeting exactly this gap—connecting evidence-based clinical decision-making directly to automated prescription fulfillment and prior authorization workflows.
OpenEvidence brings real-time, AI-powered clinical guidance used in over a million consultations daily, while Tandem automates the downstream process—handling prior authorizations, appeals, pharmacy routing, and cost support.
The result is a shift from fragmented steps to a continuous, end-to-end care pathway.
This matters because healthcare has long operated in silos:
- Clinical decisions happen in one system
- Administrative processes happen in another
- Patients are left navigating the gap in between
What this model introduces is a new paradigm:
Decision and execution are no longer separate—they are integrated.
For clinicians, this reduces administrative burden and speeds up care delivery. For patients, it means fewer delays, lower friction, and faster access to treatment.
The broader implication is significant:
AI in healthcare is moving beyond insight—it is becoming infrastructure.
Instead of simply supporting decisions, AI is now:
- Triggering workflows
- Automating approvals
- Orchestrating the full journey from diagnosis to treatment
This marks the beginning of a more connected system where the right decision doesn’t just get made—it gets done.