01
The Pilot Trap
Models that never ship
Notebooks aren't pipelines. 88% of pilots fail on real data, real latency, real volume - and the ROI never lands.
Scaling HealthTechScaling HealthTechData Engineering & AIA Virtual GCC for Health Systems
The gap isn't strategy. It's capability.
CIOs and CDAOs know what to build - ambient documentation, agentic revenue cycle, unified patient records, predictive population health. ScaleHealthTech operates as your Virtual GCC: a dedicated, healthcare-native data engineering and AI team that turns those priorities into governed, production-grade outcomes.
- 88%
- of enterprise AI pilots never reach production
- 18%
- of health systems have governed their AI
- ~90 days
- to your first model live, the ScaleHealthTech way
The CIO & CDAO reality
Your roadmap is ready. Your capacity isn't.
The constraint on healthcare AI in 2026 isn't model quality or compute. It's data engineering capability and governance maturity. Four things stall almost every program - and they compound when stacked.
02
Data Debt
Garbage in, garbage out
Inconsistent FHIR feeds, duplicate patient records, no master index, no provenance. Bad data produces confidently wrong outputs.
03
Governance Gap
Regulatory exposure
No observability of bias or drift. CHAI, ONC HTI-1, and state AI laws are closing in. One adverse event erases years of return.
04
Talent Scarcity
The wrong vocabulary
Engineers fluent in FHIR, HEDIS, and payer rules are rare - and being absorbed by Big Tech, payers, and digital-health vendors.
What we do
Trusted data. Production AI. One accountable team.
Two layers, one pod, one accountability. We build the FHIR-native foundation and turn it into clinical, operational, and revenue cycle outcomes - both healthcare-fluent, both governance-aligned, deployed together.
FHIR-native foundation
Data Engineering
Cloud platformsSnowflake, Databricks, Azure Synapse, GCP BigQuery, Microsoft Fabric.
FHIR modelingNormalization, LOINC / SNOMED / RxNorm mapping, longitudinal records.
Pipeline & ETLKafka, Airflow, dbt, Spark. Streaming + batch, production reliability.
MDM & data qualityMaster patient index, deduplication, lineage, provenance.
Data governanceCatalog, access control, PHI tokenization, SOC2 & HITRUST.
Intelligence engine
AI Services
AI / ML & MLOpsPredictive modeling, risk scoring, model registry, drift & bias monitoring.
GenAI / NLP / LLMRAG architectures, clinical documentation assistants, vector search.
Agentic AI / AgentOpsPrior-auth & denial agents, orchestration, human-in-the-loop.
Multimodal clinical AIImaging + text + genomics + ambient audio fusion.
AI governanceCHAI / NIST AI RMF / HTI-1 controls, model cards, audit trails.
- Healthcare-fluent from day one
- Production-first, not POC-first
- Governance built in
- Platform-agnostic depth
The model
A Virtual GCC that bridges your priorities and capabilities.
We run as your captive capability center - without the years it takes to build one. A dedicated, branded, healthcare-native pod, governed by your CDAO / CIO, that converts your roadmap into shipped outcomes. This is how leading US health systems close the gap.
Your priorities
- Ambient documentation
- Agentic revenue cycle
- Unified patient record
- Predictive population health
- Scaling Data Engineering and AI Team
Your Virtual GCC
Dedicated data engineering + AI pod. Branded as your team. Healthcare-fluent, governed, production-first.
In production
- Models & agents live
- FHIR data fabric governed
- Bias & drift monitored
- Measurable clinician ROI
Your team, your governance
A pod branded as yours, run under your CDAO / CIO - not an arm's-length vendor.
Healthcare-fluent, day one
100% fluent in FHIR, claims, payer rules, and clinical workflow. No re-badged generalists.
Production & governance built in
MLOps, AgentOps, model registry, drift & bias from week one - not bolted on later.
Scales with your roadmap
30-50% lower TCO than domestic SI or in-house. Flex the pod as priorities shift.
Choose your starting point
Engage around the outcome, then scale the capability.
- Data & AI CoE PodCapability-led
- Use-Case SOWOutcome-based
- Hybrid Aug + SOWAdaptive
- BOT CaptiveLong-term build
Bridge the gap
Ship the AI you've been piloting.
Schedule a complimentary 60-minute Data & AI Readiness Assessment. Walk away with a maturity score, a top-3 use-case recommendation, a governance gap analysis, and a 90-day plan - at no cost.
Let’s Make It Work Now.
Scale smarter. Scale faster. ScaleHealthTech.
Book a personalized session and see how we can accelerate your digital journey.
Schedule a Meeting