Governed by design, trusted by clinicians
Pager Health℠ redefines how members navigate to care and wellness, validated by clinicians and powered by AI. We engineer governance into every model call, every escalation, and every clinical recommendation our AI makes. And we maintain it as our platform evolves.
The gap between chatbots and a true clinical partner
A conversation is easy. A clinical decision isn’t. Point solutions can hold conversations with your members, schedule appointments, or answer benefits questions. We show you what happens at the moment that conversation touches a clinical decision: who reviews it, what stops it, and what gets logged.
You need to know when AI stops, who it brings in, and what gets recorded. We build visibility into the platform from the start.
Five guardrails, every time
Five guardrails guide every interaction. Built into the platform, not bolted onto it.
Member data is encrypted throughout and never leaves a compliant, secure environment.
Data privacy and security
Clinical accuracy and hallucination prevention
Recommendations draw on verified clinical guidelines, not training data alone, and escalate at the first sign of risk
Continuous auditing catches disparities in outcomes and recommendations before they reach a member.
Ethical and bias mitigation
The model surfaces the picture. A clinician makes the call, every time.
Human in the loop
Operational and lifecycle governance
Drift detection and full audit logging keep every clinical step reviewable as the platform evolves.
Same symptom, different story
A missed history is a missed risk. Standard clinical protocols are built for general use cases. We go further, weighing each member’s actual claims history. AI doesn’t diagnose, it gives the clinician a clearer picture so their decision is better informed, faster.
AI engages, clinicians decide
AI runs the conversation. A clinician makes the call. The model never renders a clinical decision on its own.
Engage
Conversational AI handles the warm, member-friendly outreach and intake, the part designed for members to actually finish the conversation.
Assess
Deterministic protocols, not the model’s own reasoning, drive the clinical logic. This step decides whether something needs human clinical intervention.
Decide
A licensed clinician reviews and makes the decision, with the full picture in front of them rather than a summary reconstructed after the fact.
Setting the standard
Human clinical review is fast becoming a legal requirement across the US healthcare industry. Multiple states have already enacted statutes requiring human oversight of AI-driven care decisions, CMS has issued related guidance for Medicare Advantage, and dozens more states have introduced similar legislation. The same shift is underway internationally, with human oversight already required by law in some countries and pending in others.
Our architecture already reflects where this regulatory landscape is heading: human review built in, with clear override paths and continuous bias monitoring.