Closed-loop Medication Intelligence

From Patient Context
to Therapy-Ready Action

PGxAI combines interaction risk, genomic response, and clinical context with real-world outcomes to deliver medication actions in the EHR. The system improves continuously inside the health system with governance and auditability.

Closed-loop Medication Intelligence

One response layer for medication decisions plus a learning loop

Medication response is multi-factorial. PGxAI replaces fragmented checks with one unified response layer across interaction risk, genomic response, and clinical context. It delivers decisions at the point of care and learns from real-world outcomes inside your health system.

Actionable clarity

Therapy actions with rationale, confidence, and alternatives. Not noisy alerts.

Less noise, more signal

Prioritize high‑impact risks and reduce low‑value interrupts to fight alert fatigue.

Governed learning

Outcome tracking + versioned updates with clinical sign‑off, audit trails, and rollback.

See how it works

How it works: decisions + learning as a single loop

1

Signals

Normalize medications, diagnoses, labs, genomics, and context from the EHR and connected systems.

2

Response Engine

Compute patient‑specific risk and response with evidence‑linked, explainable reasoning and policy controls.

3

Therapy Actions

Deliver drug, dose, and monitoring actions with confidence, rationale, and safer alternatives in workflow.

4

Outcomes to Improvement

Measure outcomes, evaluate performance, version updates, and safely improve logic inside the health system.

See the Learning Loop

Closed-loop learning inside the health system

Every recommendation is measurable and versioned. PGxAI uses real-world outcomes to continuously improve decision logic under governance, with audit trails, and without sending sensitive data outside your environment.

  • Outcome capture: ADEs, response markers, length of stay, readmissions
  • Evaluation: cohort analysis, drift detection, subgroup performance
  • Governance: clinical sign‑off, change logs, controlled rollout, rollback
  • Deployment: phased release into workflow with safety guardrails

Explore Platform

Built for enterprise delivery and continuous improvement

Response Decision Engine

Unified response reasoning across interactions, genomics, and clinical context with evidence links and explainability.

Workflow Delivery

EHR-native delivery via FHIR/HL7/CDS pathways where prescribing happens.

Outcome Learning Loop and Governance

Outcome capture, evaluation, versioning, approvals, and safe releases with audit trails.

What it looks like in the workflow

Structured intake

Structured intake

Fast, structured capture of meds and PGx context before analysis.

RWE insights

RWE insights

Cohort context and observational signals to support safe decisions.

Signal details

Signal details

Explainable drivers and evidence-weighted signal breakdowns.

Credibility

Published and recognized across the ecosystem

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News

Latest updates and announcements

Turn fragmented medication checks into a learning system

Request access to see unified response actions, EHR workflow delivery, and closed-loop learning from real-world outcomes in practice.