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Cerberus is a meta-MCP server that intercepts, explains, and validates healthcare AI agent outputs against live FHIR records; blocking unsafe decisions and generating regulatory-grade audit trails.
Agent-native medical claims coding that reads live FHIR records, catches billing errors, and produces auditable CPT codes with CMS citations — no human in the loop.
A scalable, parallel, FHIR-native diagnostic orchestration engine. Built for the most complex cases in modern medicine.
Map equivalent medicines across European countries with precision.
AI triage agent for rural Nigeria — listens to symptoms in plain English or Pidgin, recommends the right level of care, and saves lives where hospitals are far away.
AI that turns hospital discharge chaos into clarity for doctors and patients alike.
Clinical AI that reads your actual labs, PHQ-9 scores & meds — then coordinates two specialist agents via A2A to deliver nutrition + grounding in one conversation.
A deterministic control layer that prevents unsafe AI-generated changes before they reach healthcare workflows by enforcing constraints before actions are accepted.
Bloomberg Terminal for Hospitals.
A secure Agent-to-Agent (A2A) orchestrator using Python data-injection and FHIR to eliminate AI hallucinations in precision oncology clinical trial matching.
A $7,500 Catastrophic Life Care Plan in under a minute, from one chat prompt. Backed by NSCISC 2023 actuarial tables, PubMed evidence, and a deterministic pre-discharge missing-workup audit.
Turning Complex EHR Data into Clear Care Pathways.
The safety substrate every healthcare AI agent should call before it acts. Pure-LLM validation, resource allocation, cross-patient insight detection. MCP-native. SHARP/FHIR-compliant.
The physician’s answer to insurance bureaucracy. Automate prior authorizations, fight wrongful denials with FHIR-native precision, and return thousands of hours to direct patient care.
Turn messy doctor notes into structured SOAP notes instantly.
Breaking down discharge summaries so patients actually understand what comes next.
Catch dangerous drug combinations before they reach the patient.
Ai Agent that looks at FHIR data and tries to find anomaly before discharging the patient.
A2A/MCP safety auditor that reviews healthcare-agent outputs against FHIR context before they enter clinical workflows.
An interoperable healthcare agent that uses synthetic FHIR data to flag basic medication risks and draft a concise clinical summary for human review.
A2A agent + MCP server that finds USPSTF preventive care gaps from a patient's FHIR record and drafts sixth-grade-reading-level outreach to close them. Rules find the gap; Gemini writes the message.
Watches the ICU. Drives the bundle. Documents the case.
FIRE is a deterministic, multi-agent pipeline designed to solve the "Last Mile" of Healthcare AI: recovering lost Medicare revenue.
RxGuardian AI is a FHIR-aware medication safety agent designed for interoperable healthcare workflows. Using collaborative reasoning agents, it analyzes medication risks, detects interactions,
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