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6 AI agents. 90 seconds. Complete hospital discharge — clinical handoff, medication safety, prior auth, patient instructions in Spanish, SDOH screening & 48hr follow-up. ATLAS saves lives.
Smarter Care. Faster Decisions. Better Health.
FHIR-native MCP server that turns 2 hours of prior authorization paperwork into 30 seconds.
An MCP-powered healthcare agent that reads live FHIR data, triages enrollment urgency, and matches patients to ClinicalTrials.gov studies with biomarker-aware reasoning.
A2A/MCP safety auditor that reviews healthcare-agent outputs against FHIR context before they enter clinical workflows.
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.
Orchestrate the handoff, not the chaos.
A multi-agent registry for rare-disease intake, longitudinal natural history and trial readiness.
The project aims to develop AI agents based on the formalism of tensors of ostensive definitions (TOD) —the foundation of CXAI, an alternative to neural networks in critical systems such as medicine.
A Prompt Opinion MCP server that turns FHIR patient context into chart summaries, diagnostic workup guidance, and medication safety checks.
MedSentinel is a Prompt Opinion powered clinical AI. It integrates real-time lab data and FHIR records to detect critical medication risks and provide actionable safety recommendations.
Patients leave hospitals with 8 documents. Clinicians spend 30 minutes creating them. Discharge+ does it in seconds — from any FHIR EHR.
An autonomous AI Care Team that securely transforms complex FHIR data into clear, empathetic, 6th-grade level discharge briefs. Making the last mile of care as smart as the first
AI-generated informed consent that is specific to this patient — not a template. Every risk referenced. Every value named.
**India's AI-generated perioperative informed consent in Hindi — patient-specific, clinically grounded, and built for the real communication gap in Indian surgical care.**
A patient-scoped healthcare agent that turns complex discharge instructions into clear, multilingual guidance and grounded follow-up answers.
The AI safety net built for the bedside, powered by MCP
MCP server that transforms 15-minute chart reviews into 30-second clinical summaries with automatic risk detection and escalation. Exposes 4 clinical tools via FHIR R4 + MCP protocol,
HealNet is a healthcare Superpower built as an MCP server for Prompt Opinion. It provides reusable tools that any agent can call for FHIR chart review, care-gap detection, and follow-up planning.
Multi-agent clinical triage system on Prompt Opinion's A2A platform providing sex-specific reasoning for chest pain disposition.
Workflow-level A2A agent that orchestrates the Argus MCP into admission, discharge, and new-prescription workflows.
Voice-based clinical intake AI that transcribes patient audio, extracts structured medical data via Gemini, and broadcasts its capabilities as a Prompt Opinion A2A Agent.
A FHIR-native discharge control plane that catches hidden note-level risks, writes care-team Tasks, and holds unsafe discharges until evidence resolves the blockers.
SafeSignal uncovers hidden clinical risks across EHR silos by linking medications, labs, conditions, and timelines to detect drug-lab conflicts, silent deterioration, and missed follow-ups.
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