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Orchestration that uses A2A agents to synthesize unstructured FHIR pathology & radiology data into instant Tumor Board briefs. We eliminate hours of manual prep to accelerate cancer treatment.
The safety net between overnight and attending rounds. 4 AI agents catch deterioration, flag unsafe doses, generate I-PASS handoffs, and produce bilingual parent summaries from live FHIR R4 data.
5-tool MCP server plus A2A orchestrator that gives healthcare AI the full mother-baby picture from any FHIR R4 workspace: maternal risk, lab trends, SDOH, ACOG-cited care plans, neonatal impact.
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.
**India's AI-generated perioperative informed consent in Hindi — patient-specific, clinically grounded, and built for the real communication gap in Indian surgical care.**
Automates discharge coordination — reads clinical notes, validates CMS rules, and generates Standard Written Orders in seconds instead of hours.
A FHIR-native multi-agent AI system that detects why dental patients stop coming in and automatically generates personalized re-engagement plans, orchestrated across five specialized A2A agents.
A2A federation that decomposes one clinical prompt into a multi-specialist consultation: 16 sub-agents, 257 workflows, narrated dispatch, calibrated abstention as a posture, real HTTP between agents.
Fragmented charts cost lives. NEST saves mothers and newborns by orchestrating 5 AI agents that synthesize complex FHIR data into a unified, evidence-backed discharge control panel.
An AI chief-of-staff for hospital physicians, a proactive PromptOpinion agent that delivers a prioritized morning briefing of every patient on the doctor's panel, before the commute is over.
AI-powered clinical gap detection that finds the diagnoses hiding in your charts, so no condition goes uncoded and no revenue goes uncaptured.
Prevent the diagnostic harm that begins the moment a follow-up falls silent.
A multi-agent safety net for incidental imaging findings, because 1 in 5 follow-ups never happen, and no rule engine can read a visit note to know why.
