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Connected Care. Safer Records. Better Paediatric Outcomes.
Connecting agents to MCP-powered clinical workflows
Any healthcare agent can ask "will this drug work for this patient?" We answer with deterministic CPIC rules, population-aware reasoning, and FHIR-native output. No hallucinations. Every claim cited.
Workflow-level A2A agent that orchestrates the Argus MCP into admission, discharge, and new-prescription workflows.
Six composable medication-safety MCP tools for healthcare AI agents — drug interactions, renal dosing, Beers criteria, reconciliation, clinician notes.
Clinexa AI is a multi-agent healthcare system for clinical triage that predicts patient risk, explains decisions with XAI, ensures drug safety via MCP, and outputs FHIR data.
A 5-agent maternal health copilot that reads real FHIR charts via MCP, scores preeclampsia risk, fills coverage gaps, and watches postpartum red flags — every claim cited to the source record.
AXIOM (Automated X-reference Intelligence & Outcomes for Menopause) is an evidence-based AI connecting the silos of medicine.
From scattered data to clinical clarity in seconds. ChronoCare reconstructs patient history, detects silent deterioration, and delivers actionable clinical briefs in under 15 seconds.
School-based outbreak surveillance MCP server. Detects infections 2-3 days before hospitals. FHIR R4 + A2A agents coordinate analysis & alerts. Production system in Japan.
An MCP server that tracks differential privacy epsilon budgets for multi-institution healthcare coordination. An A2A agent that orchestrates multi-institution care coordination calls MCP as authority
Every year, elderly patients are prescribed drugs to treat the side effects of other drugs. CascadeBreaker catches these chains before they cause harm.
An A2A agent that turns a patient's FHIR context into a triaged list of drug interactions, allergy conflicts, and renal-dose risks — with curated rules and web-search fallback
AI-powered prior authorization in 30 seconds — cutting 2-week insurance delays that cost patients their treatment.
An MCP-powered healthcare agent that reads live FHIR data, triages enrollment urgency, and matches patients to ClinicalTrials.gov studies with biomarker-aware reasoning.
The connective tissue of healthcare AI. MCP server + A2A care-team huddle + 4-axis governance, runs on-prem, conforms to 25 frameworks.
An epistemic handoff agent that transfers clinical reasoning not just data during care transitions, catching drug conflicts and lost intentions before they harm patients.
Turns stalled referrals into clear next actions.
An MCP server featuring four specialized tools: an SDoH locator, stroke risk calculator, clinical trial matcher, and drug interaction checker, leveraging FHIR data and live APIs.
Anamnesis is a clinical intelligence system designed to transform longitudinal patient data into clear, explainable insights.
A 4-agent clinical AI system that transforms raw FHIR patient data into verified, safe handoffs in 90 seconds — published on Prompt Opinion with MCP, A2A, and SHARP context support.
A patient-scoped healthcare agent that turns complex discharge instructions into clear, multilingual guidance and grounded follow-up answers.
Not one answer an AI medical board that thinks together.
AI agent that applies 6 clinical guidelines to real FHIR data, catches dangerous drug interactions, and generates structured ICU clinical briefings via the A2A protocol.
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