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FIRE is a deterministic, multi-agent pipeline designed to solve the "Last Mile" of Healthcare AI: recovering lost Medicare revenue.
Multi-agent FHIR care briefs that turn chart chaos into clinician-ready action
Six composable medication-safety MCP tools for healthcare AI agents — drug interactions, renal dosing, Beers criteria, reconciliation, clinician notes.
FHIR standardized health data. MCP standardized how AI connects to tools. HealthClaw standardizes the security, privacy, and clinical safety guardrails in between.
AI medication safety assistant that flags dangerous drug interactions, allergy conflicts, and kidney risks using FHIR data.
The Healthcare AI Endgame: autonomous agents that reason across time-series patient data, catch triple bleeding risks, and tell you when discharge is actually safe.
Complete patient assessment. Zero delay
Turns stalled referrals into clear next actions.
Agent to Agent Flow
Specialized clinical agent integrated into the PO ecosystem, leveraging SHARP Extension and A2A Protocol to provide seamless, evidence-based decision support directly within the clinician's workflow.
Insighter AI turns live FHIR patient data into an instant clinical snapshot and ready-to-send patient outreach, helping care teams move from chart review to action in seconds.
ClearDose uses FHIR data and deterministic clinical safety rules to identify renal dosing risks, dangerous drug interactions, and discharge medication safety concerns.
A multi-agent system that automates US healthcare prior authorization. One clinician request, three FHIR-native MCP tools, a complete PA submission in under 30 seconds.
Interoperable, Scalable, and Safe Clinical Decision Support via MCP & A2A
Bridging the gap between raw FHIR data and actionable care. An MCP-compliant agent providing real-time patient summaries, medications, and history through secure SHARP context propagation.
Lagos A2A triage agent on Prompt Opinion. Patients describe fever/chills/headache in plain English. Smart follow-ups determine urgency and hand off via A2A to DoctorAgent with SHARP + FHIR context.
Every diagnosis needs an opponent. Doctors have cognitive bias called premature closure, this is the moment a clinician's brain locks onto an explanation and stops looking. Red Team MD solves this
Open personalized Breast Cancer Screening Policy Simulator for Age, Family History, Exposures, and Prior Findings
MedPilot turns OpenMRS from a maze of clicks into a safe clinical conversation-helping clinicians find patients, review charts, and prepare actions faster with context, confirmation, and audit trails.
Clinicians are drowning in fragmented patient data. PatientPulse unifies EHRs, wearables, and patient signals into a real-time view to enable earlier intervention, better outcomes, and less overload.
AegisRx turns antibiotic prescribing into a safe, data-driven decision by combining patient context, risk detection, and real-time recommendations all in one workflow.
AI-powered clinical gap detection that finds the diagnoses hiding in your charts, so no condition goes uncoded and no revenue goes uncaptured.
MediLink: A zero-trust medical agent using GLM 5.1 & Auth0 to turn native voice notes into standardized English clinical records with secure human-in-the-loop authorization.
Production MCP server with 11 FHIR R4 tools for healthcare AI. Any agent can now access patient demographics, meds, labs, vitals, allergies & more—without building custom EHR integrations.
