Clinical Directors & Physicians
The $83B Burnout Crisis
Legacy EHRs have turned highly trained physicians into overpaid data entry clerks. Doctors spend 2 hours on charting for every 1 hour of patient care, leading to massive burnout, rushed clinical notes, and severe compliance risks.
Current point-solutions are static "scribes" that just dump transcripts into a text box, requiring the doctor to manually extract ICD-10 codes, prescriptions, and follow-ups.
Our architecture listens to the telehealth session via WebRTC and dynamically builds structured clinical documents. It doesn't just transcribe; it comprehends.
- Extracts the Chief Complaint and History of Present Illness (HPI).
- Cross-references transcripts to validate precise ICD-10 nomenclature.
- Natively maps extracted entities to FHIR R4 standard resources.
- Doctors go home on time.
Our Receptionist agent intercepts scheduling requests natively, executing complex verification API calls before a human ever touches the record.
- Executes live X12 270/271 EDI inquiries.
- Determines active medical coverage and specific co-pays instantly.
- Pre-fills the complex HL7 prior authorization pipelines autonomously.
- Balances the provider schedule with zero human touch.
Operations Leads
The $20B Claims Denial Pipeline
Healthcare practices lose thousands of dollars monthly due to simple front-desk typos, unverified benefits, and chaotic scheduling conflicts. A single misspelled insurance ID means a denied claim.
Legacy patient portals are rigid forms. When a patient gets confused by a prior authorization requirement, they abandon the portal and call the front desk, forcing staff to spend hours on hold with payers.
Healthcare CISOs
Ransomware & AI Hallucination Risks
Healthcare networks are the #1 target for ransomware. Legacy static passwords fail instantly against modern credential stuffing and MFA (Multi-Factor Authentication) fatigue "prompt bombing" attacks.
Furthermore, deploying generic LLMs into clinical workflows risks massive HIPAA violations if Patient Health Information (PHI) is accidentally leaked to public models like OpenAI without strict guardrails.
Our network does not rely on static passwords. We deploy a continuous, multi-vector validation engine that treats every API call as inherently hostile until proven otherwise.
- Analyzes real-time behavioral baselines (device fingerprinting, IP entropy).
- Automatically neutralizes MFA fatigue and prompt bombing attacks.
- Blocks mass-assignment and complex RBAC escalation vectors.
- Enforces strict, local PHI-scrubbing before LLM routing.
We don't replace billers; we arm them with guided intelligence. The engine drafts the 837, flags the missing modifiers, and presents a one-click fix.
- Review and approve AI-staged claims 5x faster.
- Predictive denial scoring catches the typo before the clearinghouse does.
- Access the Learning Hub to upskill on complex payer policies.
Medical Billers & Analysts
The High-Volume Trap
Billers are expected to memorize thousands of payer-specific rules and constantly cross-reference LCD/NCD policies across multiple browser tabs. It is an impossible retention task.
Instead of forcing skilled human billers to do repetitive copy-pasting, we elevate them to Reviewers and Protocol Engineers. By giving them the Clear Mind engine, they can clear backlogs autonomously or even participate in our remote bounty network.
Ready to Eradicate Administrative Bloat?
Stop patching broken workflows with static software. Deploy the architecture designed to actively execute the healthcare continuum.