From clinical decision support to HIPAA-compliant observability, healthcare runs on patient safety, regulatory compliance, and data interoperability. Babadook provides the governed AI, real-time monitoring, and audit trails that healthcare systems require.
HIPAA, HITECH, FDA — all on one audit trail
HIPAA, HITECH, FDA 21 CFR Part 11, and Joint Commission compliance — all on one platform. Every access to PHI is logged. Every AI decision is explainable. Every audit trail is immutable and cryptographically signed.
De-identification, synthetic data generation, and differential privacy for AI training. Training data provenance is tracked — when a model is audited, the full data lineage is available with consent and provenance metadata.
A patient's data lives in five systems: the EHR (Epic or Cerner), the PACS system (imaging), the LIS (lab), the pharmacy system, and the billing system. None of them speak to each other natively. HL7 and FHIR are supposed to solve this, but in practice, interoperability is a project, not a feature.
When a clinician needs the full picture — labs, imaging, medications, history — they get a summary that is three days behind. Real-time data exists in each system, but joining it across systems requires an interface engine, a data warehouse, and a team to maintain both.
Clinical AI must be explainable, auditable, and reproducible. When a model recommends a treatment, the clinician must understand why. When the FDA asks for post-market surveillance data, the answer must be deterministic. When a patient is harmed, the investigation must trace from model input to clinical output.
Babadook's governed AI platform records every inference with causal ordering, model version, input context, and output recommendation — all cryptographically signed and replayable.
Real-time monitoring of EHR uptime, API latency, and database health. When Epic or Cerner slows down, the alert includes the affected workflows, the patient impact, and the root cause — not just a CPU spike.
HL7 and FHIR message flow monitoring — every interface engine, every data feed, every transformation step visible in real time.
From EHR to medical device telemetry — one platform, one audit trail.
HL7 v2, FHIR R4, and native Epic and Cerner API integration — patient data flows with the same audit trail across all boundaries.
Infusion pumps, ventilators, patient monitors, and wearables — device alerts correlate with patient vitals in real time.
Every model inference recorded with causal ordering, model version, and decision boundary — cryptographically signed and replayable for FDA audits.
UEBA — user and entity behavior analytics — catches insider threats before they become headline news. Every PHI access is logged.
Six compliance frameworks — all with audit trails, all on one platform, all immutable.
Healthcare AI cannot fail silently. When a model extracts a medication from a physician's note, identifies a malignancy on a radiology image, or recommends a treatment pathway, the chain of evidence from source document to model output must be complete, immutable, and verifiable. Prometheus provides this chain of custody at the inference layer.
Knowledge-grounded RAG links every clinical prediction to a verified knowledge graph — the model references governed medical truth, not vector similarity. Document intelligence extracts PHI with per-entity confidence scores and routes low-confidence extractions to human review. Corrections feed back into active learning retraining — the system gets smarter with every clinician interaction. Cryptographic cache salts ensure patient data isolation at the hardware level, satisfying HIPAA technical safeguards.
Hospitals and clinics run on margins that depend on precise cost allocation and compliant billing.
XRP connects patient registration, supply chain, workforce scheduling, equipment maintenance, and financial reporting on one platform. Supply costs tie to departments. Staff time ties to patient care. Equipment utilization ties to capital planning. Finance sees the real cost of care, not a monthly estimate.
Medical supply tracking with consignment, lot numbers, and expiration dates. When a recall is issued, affected lots are identified across all departments and storage locations in seconds.