Clinical AI, patient systems, and health data infrastructure. Built for compliance, not demos.
We build the systems that sit between patient data and clinical decisions.
Healthcare teams run on fragmented systems, manual handoffs, and data that doesn't move between departments. We design AI-powered clinical workflows, patient engagement platforms, and data infrastructure that meets HIPAA requirements and ships into production.
Why AI in Healthcare is different.
Healthcare has more data than almost any industry and less ability to act on it. EHR systems hold decades of patient history, but 97% of hospital data goes unused. Clinical teams spend 30% of their time searching for information instead of applying it.
The organizations deploying AI into clinical workflows are seeing 25-40% reductions in administrative burden and measurable improvements in patient outcomes. The ones still running pilot programs are watching their best clinicians burn out on documentation and manual handoffs.
The gap is not about ambition. Every health system wants AI. The gap is compliance-aware execution: who can ship into an EHR workflow, pass a HIPAA security review, and earn clinician trust in the same quarter. That is a very specific skill set.
The Problems That Slow You Down
Data silos across clinical and operational systems
Patient records in one system, billing in another, scheduling in a third. 30% of clinical time spent finding information instead of using it.
HIPAA compliance slows everything down
Every new tool needs compliance review. Teams default to "no" because "maybe" takes too long. Innovation stalls behind approval queues.
AI projects that never reach the bedside
PoCs that show 92% accuracy in notebooks but can't handle real-world data variance, EHR integration, or clinician workflows.
Patient engagement stops at appointment reminders
SMS reminder and a satisfaction survey. Nothing in between: no medication tracking, no care plan visibility, no proactive outreach.
Systems for Healthcare
Clinical Decision Support
AI systems that surface relevant patient history, flag drug interactions, and recommend next steps, inside the EHR workflow, not beside it.
View service →Patient Data Infrastructure
FHIR-compliant pipelines that unify clinical, operational, and financial data into a single queryable layer.
View service →Patient Engagement Platforms
Mobile apps for booking, medication tracking, secure messaging, and care plan visibility, designed for patients, not IT.
View service →HIPAA-Ready Cloud
AWS/Azure with encryption, access controls, audit logging, and BAA compliance configured from day one.
View service →Claims Automation
IDP that reads referrals, extracts diagnosis codes, and routes prior auths, processing in minutes, not days.
View service →These aren't pitch deck scenarios. Every use case maps to a system pattern we've built and deployed in production.
What We Build in Healthcare
Prior Authorization Automation
VP of Revenue Cycle ManagementManual review of insurance prior auth requests delays treatment 5-10 days per case, costs $20-50/submission, 15-20% denial rates.
LLM+NLP extracts clinical data from EHR notes, matches against payer policies via RAG, auto-generates submissions or flags gaps pre-submission.
Claims Fraud Detection
Director of Special Investigations UnitUpcoding and phantom billing cost $100B+ annually; manual audits cover only 5% of claims volume.
XGBoost ensemble on claims history, procedure codes, provider patterns, combining supervised classification and unsupervised clustering for anomalies.
Readmission Risk Prediction
Chief Medical OfficerGeneric LACE scores mispredict 20% of Medicare readmissions; $1B+ in preventable costs.
Gradient boosting on hospital-specific EHR data (LOS, comorbidities, ED visits), real-time pre-discharge risk scores in clinician dashboards.
Radiology Workflow Prioritization
Director of Radiology20-30% urgent scans mixed with routine cases, critical reports delayed 2-4 hours in high-volume ERs.
CNN-based triage on scan metadata + image features, auto-sorting PACS queues with explainable heatmaps.
Clinical Documentation
Chief Information OfficerClinicians spend 2-3 hours/day on EHR note entry; billing delays of $10-15/encounter from incomplete records.
Ambient voice-to-text LLM fine-tuned on specialty templates, bidirectional FHIR integration with Epic.
Nurse Staffing Optimization
VP of Nursing OperationsManual scheduling based on averages mismatches real-time volumes. 15% overtime costs, $52K per nurse turnover.
LSTM time-series on EHR, weather, seasonality data. Dynamic shift adjustment via optimization solver.
Supply Chain Inventory Management
Supply Chain Director10-20% perishable waste ($2-5M/year per 300-bed hospital), stockouts delay surgeries.
Prophet/XGBoost demand forecasting on usage, expiration, supplier data, with auto-reorder via ERP integration.
Clinical Trial Patient Matching
Head of Clinical OperationsManual EHR screening misses 70% eligible patients; enrollment delayed weeks, costing pharma $1M+ per study.
BERT NLP scans EHR phenotypes against trial criteria, ranks matches with propensity scores.
Building the system is half the job. Growing the business around it is the other half.
How We Grow Healthcare Brands
AEO for Treatment Queries
Director of Digital Marketing, VP of Patient Acquisition, CMOHealth systems are losing patient acquisition to AI answers. When someone searches "best treatment for lower back pain," ChatGPT and Perplexity answer directly, citing Mayo Clinic, Cleveland Clinic, and WebMD. Mid-size providers with strong clinical outcomes but weak digital presence get zero citations. Organic Google traffic is already down 25-30% for symptom and treatment queries. Mayo Clinic appears in roughly 40% of ChatGPT health queries because of structured FAQ schema and clinician-attributed content. AI models cite structured, authoritative content. Everything else gets ignored.
AEO audit of your top 100 treatment and condition queries across ChatGPT, Perplexity, Gemini, and Copilot. Condition page restructure with FAQPage and MedicalCondition schema, clinician-attributed Q&A pairs, treatment comparison tables, and citation-ready statistics. Clinician authority layer tying every page to a named physician with credentials (AI models weight E-E-A-T signals heavily for YMYL health content). AI citation monitoring dashboard with weekly tracking across all major models. Content cluster buildout: 10-20 new condition pages per month, structured for both Google snippets and AI citation, connected to appointment funnels. All workflows HIPAA-compliant, no PHI in tracking. 6-8 weeks to first measurable citation improvements.
LinkedIn HCP Lead Nurture for Pharma
Head of Demand GenerationLife sciences get 1K+ LinkedIn connections/month but under 5% convert; CAC $500+ for demo meetings.
LinkedIn ads to HubSpot forms, compliant nurture (educational content, webinars), HCP-specific lead scoring.
HIPAA-Compliant HubSpot Lead Scoring
VP Marketing Operations2K leads/year from forms, 70% go cold; manual follow-up misses high-intent surgical consults.
HubSpot with encrypted PHI fields, ML lead scoring, pre/post-op email sequences, EHR integration.
AI Ads for Telehealth Bookings
Growth Marketing DirectorGoogle Ads CPC $15-50 for therapy searches, under 2% conversion; no ChatGPT/Gemini sponsored presence.
Gemini/ChatGPT sponsored answers + Google PMax for "therapist near me," booking CTAs, GTM attribution.
Technical SEO + AEO for Clinic Locations
SEO DirectorMulti-location providers rank #2-5 local; 40% searches end without clicks from AI overviews.
Location pages with schema, clinician bios/FAQs for AEO, GBP optimization, directory link building.
LinkedIn Content for Physician Outreach
Head of Medical Affairs MarketingPharma reps post sporadically; under 1% engagement from HCPs.
AI-generated clinician-reviewed posts (studies, trials), carousel series, gated webinars.
How We Work With Healthcare
AI Systems & Agents
LLMs, agent chains, and intelligent workflows, wired into your ops, not sitting in a sandbox.
Learn more →Data Engineering & Analytics
Your data is scattered across 15 tools. We wire it into one system that answers questions.
Learn more →Mobile App Development
iOS, Android, and web applications, shipped fast, built to last.
Learn more →Security & Compliance
SOC 2, ISO 27001, HIPAA, AI governance: audits that close enterprise revenue, not just check boxes.
Learn more →Frequently asked questions
Yes. We integrate with Epic, Cerner, and other major EHRs via FHIR APIs. We build alongside your existing systems, not ripping and replacing.
Every project starts with a compliance assessment. We design with HIPAA controls built in: encryption, access controls, audit logs, BAAs. Not bolted on after.
First working prototype in 4-6 weeks. Production deployment with compliance review typically 3-4 months. We set 2-week sprint milestones throughout.
AI moves fast. Stay ahead.
No spam. One actionable email per week on AI systems and growth.
Related Answers
How do I know if my data is ready for AI?
If you can't answer "where is our customer data?" in under 30 seconds, it's not ready. Here are the 5 signs your data needs work before AI can help.
3 min readanswerHow long does it take to build an AI system?
A proof of concept: 2-4 weeks. A production system: 8-16 weeks. The real variable isn't the AI. It's your data.
3 min readShipping AI into clinical workflows is hard. We've done it.
Start with a 2-week diagnostic. We'll map your highest-impact opportunities and build a roadmap your compliance team approves.