HealthCopilot guides members through the full reimbursement lifecycle, from eligibility check to document submission, eliminating the most common friction points in the reimbursement journey.
- ▸Coverage and eligibility check for the specific service or procedure claimed
- ▸Applicable deductibles, coinsurance, and network tier surfaced before submission
- ▸Guided document checklist generated based on claim type and applicable policy rules
- ▸Document upload with OCR-based completeness check, gaps flagged before submission
- ▸Claim submitted to the review workflow with turnaround expectation communicated to the member
- ▸Status updates accessible through subsequent chat queries without re-entering details
Members often struggle to understand what their policy actually covers. HealthCopilot translates policy logic into clear, member-friendly explanations, always grounded in the actual policy data, never generated speculatively.
- ▸Member-facing coverage summaries for specific services, procedures, and conditions
- ▸Deductible balance, annual limit usage, and remaining benefit entitlement
- ▸Exclusion and limitation clarification in plain language
- ▸Network coverage status for specific providers or service types
- ▸AI formats the explanation, policy truth always comes from the source system
The medical justification engine is one of HealthCopilot's most differentiated capabilities. It translates opaque clinical rejection codes into plain-language explanations, combining the clinical rationale with the applicable policy clause and communicating both clearly to the member.
- ▸Rejection code retrieved from the claims or preauth system
- ▸Clinical rationale translated from medical terminology into member-friendly language
- ▸Applicable policy clause or exclusion surfaced alongside the clinical explanation
- ▸Appeal eligibility assessed based on the rejection type and policy rules
- ▸Escalation pathway surfaced immediately where an appeal or review is possible
- ▸All outputs deterministic, the AI formats the explanation, the source system provides the facts
Members can search for healthcare providers in natural language and receive network-aware results that respect their specific policy's provider panel, with geographic context, specialty filtering, and service-level detail.
- ▸Natural-language query: specialty, service type, procedure, or provider name
- ▸Results filtered by member's policy network and geographic proximity
- ▸Interactive map with provider pins, rating, specialty, coverage status, and contact detail
- ▸Coverage check surfaced alongside each provider, in-network vs out-of-network cost implication
- ▸Inline preauthorization initiation for procedures that require prior approval
- ▸Provider quality signals from the post-encounter feedback loop fed back into search ranking
Brokers operate in a dedicated interface with portfolio-level visibility and case management tools. The broker experience is entirely separate from the member experience, with a different data scope, different workflows, and different analytics.
- ▸Member inquiry handling from the broker's client portfolio
- ▸Case tracking across active and historical broker-submitted cases
- ▸Policy and claim reference with client-level filtering
- ▸Document submission and reference on behalf of client members
- ▸Reporting on service volumes and case outcomes at the portfolio level
When a member's need exceeds self-service capacity, HealthCopilot routes the case to the right human resource, preserving all context so the receiving agent can act immediately without asking the member to repeat themselves.
- ▸Intelligent routing based on case type, member sentiment, and urgency signals
- ▸Full conversation transcript and member context packaged for the receiving agent
- ▸Agent workspace receives pre-filled case, no manual context re-entry required
- ▸Callback scheduling available, member receives confirmation and tracking reference
- ▸Outbound webhook fires on case creation, notifying connected downstream systems
- ▸Case status updates accessible to the member through subsequent chat queries
Phase 3 of the conversation engine collects structured post-encounter feedback, provider ratings, service satisfaction, and care experience signals, directly through the chat interface, feeding into the provider intelligence and continuous improvement loops.
- ▸Post-encounter check-in triggered after a recent care visit is detected in the member's encounter data
- ▸Structured provider rating collection: quality, communication, facility, and waiting experience
- ▸Service satisfaction captured for the insurance service interaction itself
- ▸Ratings feed into provider search ranking and the operations analytics dashboard
- ▸Negative signals trigger escalation or follow-up case creation where appropriate