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Industry 01 · Healthcare & Life Sciences

Evidence-based AI and software, engineered for HIPAA.

We deliver in payers, providers, digital health, and life sciences, HIPAA-aligned engineering, model-risk-governed AI, and the clinical-workflow craft that earns adoption.

HL7 · FHIR
Integration-native
10+ yrs
Clinical software
1-2 wks
To embedded
48 hrs
Costed proposal
Stack

Built for the clinical reality.

The interoperability standards, EHR vendors, and AI-in-healthcare tools we ship with by default, every name here has been in production on a Xperion engagement inside the last 12 months.

Interop & Standards
HL7 v2FHIR R4SMART on FHIRCDA / CCDADICOMOAuth 2.0OpenID Connect
EHR & Clinical
Epic FHIRCerner FHIRathenahealthNextGeneClinicalWorksRedoxHealth Gorilla
Cloud (HIPAA)
AWS HealthLakeAzure Health Data ServicesGCP Healthcare APIAWS PHI BAA scopeSnowflake HIPAA
AI for Clinical
Claude (HIPAA-aligned)Azure OpenAI (BAA)AWS BedrockNuance DAXSukiAbridge patterns
BAA-scoped from day one on every engagement
PHI never leaves the client environment without explicit approval
Audit pack shipped before model selection, not after
Challenge

Healthcare AI lives or dies at the intersection of workflow, compliance, and integration.

Most health-tech failures aren't algorithmic, they're operational. The model performs in the lab but breaks against EHR integration realities. The patient-facing app launches without accessibility. Xperion's healthcare engagements start from the clinical workflow and the compliance burden backwards.

The model that works in the notebook is not the system that works in the EHR. We engineer for the second one.
  • HIPAA-aligned by defaultBAA-eligible cloud, encryption at rest and in transit, minimum-necessary access, and audit trails wired in from day one.
  • EHR-aware engineeringNative fluency with Epic, Cerner / Oracle Health, Athena, and FHIR R4, we know where the joins fail before we write them.
  • Clinician-in-the-loop designWorkflow shadowing, time-motion analysis, and clinician advisors on every major engagement. AI that adds seconds dies fast.
  • Evidence-first deliveryValidation packs, audit logs, model cards, and bias evaluations shipped alongside the code, not retrofitted under deadline.
Use Cases

Where we ship today.

Production engagements span clinical operations, patient experience, payer ops, and life-sciences R&D, engineered for the integration and validation realities that come with each.

Clinical Operations

Ambient clinical documentation

Speech-to-structure ambient scribes that draft progress notes, problem lists, and orders from the patient encounter, clinician reviews and signs. EHR-integrated, time-motion validated.

Patient Experience

Intake & triage agents

Voice and chat agents that handle pre-visit intake, symptom triage, scheduling, and benefits questions, with clear escalation rails, audit logs, and call recordings retained per policy.

Payer & RCM Operations

Prior auth & claims copilots

Document-intelligence copilots for prior auth, claims adjudication assistance, and denials management, accelerating ops staff with full human-in-the-loop approval.

Life Sciences R&D

Literature & trial intelligence

RAG-over-PubMed, internal documents, and trial registries to support medical affairs, regulatory writing, and competitive intelligence, citation-faithful with bias guardrails.

Digital Health Products

Member-facing apps & portals

HIPAA-aligned mobile and web products, care navigation, virtual care, chronic-condition management, designed for accessibility and clinical workflow integration.

Population Health

Risk stratification & outreach

Predictive risk models for readmission, gaps in care, and high-utiliser segmentation, paired with patient-engagement programmes that close the loop.

Talent

The roles we staff most.

Senior specialists, domain-matched to clinical, payer, or life-sciences operating reality.

Clinical Software EngineeringFull-stack and backend engineers with EHR integration experience, Epic SMART on FHIR, Cerner Millennium, Athena, plus modern healthtech stacks.
Healthcare AI / ML EngineersSpecialists in clinical NLP, ambient capture, document intelligence, and risk modelling, with bias, equity, and validation experience.
Healthtech Product & UX DesignersDesigners fluent in clinician workflow, patient accessibility, regulated UX patterns, and procurement-ready documentation.
Compliance & Validation SpecialistsFractional or embedded specialists for HIPAA programme work, SOC 2 readiness, FDA SaMD positioning, and CSV/CSA evidence packs.
Outcomes

Metrics that matter at the bedside.

Adoption-weighted, not feature-weighted. Clinical operations move when seconds disappear from the workflow.

Hrs ↓
Documentation time
Ambient scribe deployments target after-hours documentation time per clinician, measured against a pre-rollout baseline.
Intake ↑
Front-desk throughput
Voice and chat agents absorb the predictable intake volume without adding staff; capacity gains are instrumented, not asserted.
WCAG AA
Patient apps
Member-facing products ship at WCAG 2.2 AA by default, accessibility is in the design, not a remediation phase.
100%
Audit-ready
Every engagement closes with the compliance evidence package your CISO and regulator will actually ask for.

Have a healthcare use case in mind?

One scoping call, clinician advisors in the room when relevant. We come back with a costed plan within 48 hours, including the compliance evidence path.