Make medication response predictable.
Phenomics Health turns fragmented medication data into medication-response intelligence — integrating pharmacogenomics, direct medication exposure, labs, clinical context, outcomes, and AI-generated response phenotypes that help identify risk, optimize regimens, and learn from real-world response.
AI Identifies the Response Phenotype
Medication response cannot be predicted by genetics, metabolomics, lab testing, or AI alone.
It emerges when these signals are integrated into a response phenotype.
Medication response is too often discovered after failure.
The hidden drivers of response — genetics, medication exposure, interactions, adherence, clinical history, labs, environment, and prior outcomes — are usually fragmented across systems.
Phenomics makes these signals measurable and modelable. The platform is designed to create response intelligence before medication selection, not just reaction after ineffective therapy.
See the approach
From prescribing workflow to medication intelligence.
PhenomicsAI connects diagnostics, patient data, and AI-inferred phenotypes into a practical decision layer that can be embedded where medication choices are made.
Integrate patient signals
Combine PGx, PMx, direct medication exposure, clinical history, labs, outcomes, EHR and claims context, FHIR/HL7 implementation patterns, and curated evidence.
Infer response phenotypes
Use PhenomicsAI and clinically auditable data pipelines to identify patient-specific patterns that influence medication response, risk, timing, and dose.
Guide better decisions
Deliver intelligence for treatment optimization, risk stratification, population analytics, and life-sciences evidence generation.
Response + risk
Identify patients at risk of failure, toxicity, interaction, or avoidable utilization.
Therapy + dose
Support medication and dose choices based on patient-specific response signals.
Exposure + outcomes
Measure what patients are taking and connect exposure to clinical response.
Adjust + improve
Recommend next-best actions, alternatives, adherence interventions, or monitoring.
What the platform actually does.
PhenomicsAI is designed as an auditable medication-response workflow, not a black-box chatbot. It connects the evidence, the patient record, measured exposure, and clinical outcomes into a reviewable decision layer.
Normalize the patient record
Pull structured and unstructured medication context from EHR, claims, labs, clinical history, and medication lists into a cleaner patient-specific view.
Compare response signals
Evaluate PGx findings, medication exposure, dose, drug interactions, adherence signals, renal and hepatic context, prior failures, and outcome history together.
Infer the response phenotype
Convert fragmented signals into a clinical phenotype that explains likely response, toxicity risk, underexposure, nonadherence, and monitoring needs.
Return an auditable action
Surface the ranked drivers, confidence, source evidence, and next-best workflow step so clinicians can review the recommendation rather than trust a hidden model.
One company. Multiple medication intelligence layers.
Phenomics Health combines clinical laboratory capabilities with PhenomicsAI to connect predictive intelligence, direct measurement, and enterprise medication-response workflows.
PredictViewPGx™
Expanded next-generation pharmacogenomics. 170+ medications and 68+ genes, with broader actionable coverage than legacy panels.
SyncView™Rx
Direct medication exposure intelligence for prescription and OTC medications, supporting adherence insight, medication reconciliation, and safety workflows.
PrecisView™ Peptide
Mass-spec measurement of circulating peptide exposure for tirzepatide, retatrutide, CJC-1295, Ipamorelin, BPC-157, TB-500, and related compounds.
PhenomicsAI
Multi-agent clinical AI platform. Fast Path for routine cases plus Smart Path escalation for complex polypharmacy, rare variants, and conflicting signals — with provenance and audit trail.
For Health Systems
Enterprise medication intelligence for high-risk cohorts, medication reconciliation, avoidable adverse events, readmission reduction, and value-based care performance.
For Payors
Test-independent analytics on existing EHR and claims data to quantify spend leakage, polypharmacy risk, hidden DDI burden, and opportunities for MLR and UM optimization.
One platform.
Multiple high-value workflows.
Medication-response intelligence can support the people making treatment decisions, the organizations managing risk, and the partners building evidence at scale.
Clinicians & Health Systems
- Reduce failed first-line therapy and cycling
- Identify hidden DDIs and medication reconciliation gaps
- Improve STARS ratings and value-based performance
- Lower avoidable ED visits and readmissions
Payors & Risk Programs
- Identify high-risk polypharmacy members before costs escalate
- $74–$126 net PMPM savings in targeted cohorts
- Reduce pharmacy waste and avoidable hospitalizations
- Shared savings and PMPM contract models
Life Sciences & Biopharma
- Identify likely responders for trial enrichment
- Generate high-quality real-world evidence faster
- Optimize post-marketing surveillance
- Data and AI partnership models available
Population Health & Learning Systems
- Build learning health systems around medication outcomes
- Feed outcomes back into better models
- Support value-based care and ACO performance
- Population-level utilization intelligence
Built for clinical teams, not AI demos.
Health-system and payor buyers need more than a beautiful interface. They need interoperability, privacy, clinical auditability, and a workflow that can fit into existing medication-management programs.
EHR, claims, and lab integration
Designed to support FHIR and HL7 implementation patterns, EHR and claims context, lab data, medication history, and partner data feeds.
Clinical provenance
Recommendations are presented with source-linked evidence, ranked drivers, confidence context, and an audit trail for clinical review.
Privacy and compliance
HIPAA-aligned workflows, secure data handling, role-based access concepts, and deployment controls for enterprise medication programs.
Enterprise program design
Supports health systems, payors, population-health teams, lab channels, and life-sciences partners with measurable medication-response workflows.
Company
Learn about the leadership, founders, laboratory foundation, and company operating model behind Phenomics Health.
Built across academic, clinical, and translational networks.
Phenomics Health’s foundation spans academic validation, clinical research, informatics, medication exposure, and industry translation.
Launch a medication-response intelligence program.
Talk with Phenomics Health about programs for clinical decision support, medication-risk stratification, peptide monitoring, health-system cohorts, lab channels, and life-sciences partnerships.