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AI agent that interprets dietary patterns and explains amino acid adequacy in clinically safe language.
An epistemic handoff agent that transfers clinical reasoning not just data during care transitions, catching drug conflicts and lost intentions before they harm patients.
A stateless LangGraph microservice with powerful 3D spatial math, local Vector RAG, and Multimodal Vision to generate accurate explainable medical diagnoses.
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.
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.
Workflow-level A2A agent that orchestrates the Argus MCP into admission, discharge, and new-prescription workflows.
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.
**India's AI-generated perioperative informed consent in Hindi — patient-specific, clinically grounded, and built for the real communication gap in Indian surgical care.**
AI-generated informed consent that is specific to this patient — not a template. Every risk referenced. Every value named.
AI-powered rural home care coordination and predictive clinical escalation system that detects deterioration before physiological collapse.
A Prompt Opinion MCP server that turns FHIR patient context into chart summaries, diagnostic workup guidance, and medication safety checks.
A multi-agent registry for rare-disease intake, longitudinal natural history and trial readiness.
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.
An MCP-powered healthcare agent that reads live FHIR data, triages enrollment urgency, and matches patients to ClinicalTrials.gov studies with biomarker-aware reasoning.
FHIR-native MCP server that turns 2 hours of prior authorization paperwork into 30 seconds.
An AI agent that reads real FHIR resources to resolve Medicaid claim denials. Cites real regulations. Never hallucinates. Built for community health clinics. Live in production.
An A2A clinical agent that reconciles cardiology, nephrology, and endocrinology recommendations into one explainable care plan.
A scalable, parallel, FHIR-native diagnostic orchestration engine. Built for the most complex cases in modern medicine.
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.
Transforms clinical notes, discharge summaries, and referrals into validated FHIR R4 resources with RxNorm, ICD-10, and LOINC grounding, clinician review, interactive edits, and approval-before-write.
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.
A multi-agent clinical decision support system that gives every clinician an AI-powered medical team — analyzing patient data, diagnosing conditions, checking drug safety, and generating SOAP notes.
Previs is a MCP-powered clinical AI tool for T1D specialists that turns CGM and insulin data into pre and post consultation briefings. Before you walk in. After you walk out.
