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Stochastic Health helps AI teams ship safe, reimbursable, clinically loved products—bridging clinical workflows, EHR integration, and regulatory strategy.
Services
Hands-on physician expertise for AI/ML in healthcare: workflow design, FDA & privacy strategy, EHR integration, and proof of value.
Epic/Cerner strategy, SMART on FHIR, HL7/FHIR data mapping, and go-live support tuned to real clinical workflows.
Human-in-the-loop safety, triage/ED throughput, clinician UX reviews, and change management to reduce friction.
FDA SaMD pathways, PCCP, post-market monitoring, HIPAA/GDPR de-identification, BAAs, and audit-ready documentation.
Reader/usability studies, metrics that matter (PPV/NPV, burden), and RWE/HEOR plans to prove ROI and safety.
Code selection (CPT/HCPCS), coverage dossiers, NTAP history where relevant, and payer-aligned pilot design.
Privacy-preserving pipelines, data minimization, role-based access, and model change logs for lifecycle control.
Clinical + Technical Bridge
ED, inpatient, and ambulatory nuances baked in—so AI helps clinicians, not the other way around.
Clear clinical ownership, escalation paths, and monitoring so leaders can approve with confidence.
Documentation and processes that make security, legal, and IT sign-off fast at enterprise customers.
Engagements tailored to your product maturity: from pre-clinical validation to enterprise rollouts.
Choose workshops, embedded advisor days, or fixed-fee sprints for regulatory, validation, or reimbursement.
Support that adapts to founders, product, clinical, and sales teams—coordinated to accelerate adoption.
Clear artifacts: SOPs, risk registers, PCCP drafts, study protocols, clinician-tested scripts, and dashboards.
Transparent claims, clear limitations, and safe defaults that earn adoption from day one.
From locked models to PCCP-governed updates, keep performance monitored and auditable.
Avoid costly missteps: align early with IT, compliance, and clinical leaders to shorten sales cycles.
Access a network of clinical reviewers and health-system champions to accelerate pilots.
Step 1: Discovery
Rapid assessment of workflow, data, and regulatory posture. Define claims, risks, and success metrics.
Step 2: Design
Co-create pilots, validation plans, and EHR integration paths with safety guardrails and governance.
Step 3: Deploy
Go-live support, clinician training, and monitoring dashboards to demonstrate value quickly.
Ready!
Components
Clinical, regulatory, and technical expertise to get AI into care safely
Epic App Orchard, SMART on FHIR, HL7, data mapping, and integration testing.
Scripts, prompts, and UI patterns that minimize burden and escalation rates.
FDA SaMD pathways, PCCP authoring, post-market monitoring, and documentation.
Protocols, SOPs, risk registers, and payer-ready outcome reports.
Pilot design with measurable ROI tied to codes, quality metrics, and contracts.
Engagement tiers and fixed-fee sprints for speed and predictability.
References from clinicians and health-system leaders available on request.
Let’s scope a sprint that gets you to your next milestone.
Security, privacy, and compliance notes—easy to find for buyer diligence.
Articles on regulatory trends, workflow integration, and validation strategies for AI in healthcare. Each post gives founders and teams practical guidance on building safe, adopted, and reimbursable AI products.
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FAQs
Common questions about engaging Stochastic Health
Startups often underestimate workflow, safety, and regulatory friction. Having a physician who also speaks product and tech prevents costly mistakes and accelerates adoption.
Clear artifacts: PCCP drafts, validation protocols, SOPs, clinical safety reviews, reimbursement dossiers, and EHR integration playbooks.
No. Experience includes U.S. FDA, HIPAA, CMS reimbursement—but also EU AI Act, GDPR, and CE-mark pathways.
Early is best—before pilots are designed or claims are made—but support is also available for later-stage regulatory prep, payer discussions, or enterprise contracting.
Options include fixed-fee sprints, retainer advisory, or embedded support with product/clinical teams.
Hands-on ED physician background, deep knowledge of Epic workflows, and real experience translating AI into production clinical environments.
Let’s scope a focused sprint or ongoing advisory engagement to get your AI health product adopted, reimbursed, and trusted.