Forward Deployed Engineering for Healthcare
Your team, extended. Dedicated engineers who work alongside your team to build, integrate and activate healthcare data solutions, from discovery to production in weeks.
Forward deployed engineering (FDE) is a delivery model where software engineers work inside a customer's organization and ship directly into that customer's live environment, instead of handing off a product for someone else to implement. In healthcare that means engineers working inside your EHR, claims and operational systems. They learn how your clinical and benefits workflows actually run, build the pipelines that connect them, and keep the result running in production with your team.
We'll look at your current data sources, pick the first workflow worth automating, and tell you what four weeks would cover. No slides.
HIPAA AICPA SOC 2 Type II BAA signed before every engagement
Why Healthcare Needs Forward Deployed Engineering
Every practice is a different data problem
Two DPC practices can run the same EHR and still record membership, billing and patient status in completely different ways. Same fields, different habits. Packaged integrations assume a standard shape that most organizations don't actually have, so somebody has to look at what is really in the data before anything useful gets built.
Requirements move faster than a roadmap
CMS updates measure specifications. Payers revise documentation requirements. A self-funded client adds a stop-loss carrier halfway through the plan year. A vendor roadmap absorbs changes like that in quarters. An embedded engineer picks them up in the next sprint.
Getting AI into production is the hard part
A model that scores risk accurately still isn't doing anything for you. It starts to matter once it is connected to live data, showing up inside a workflow your team already uses, reviewed by someone who trusts the output, and watched for drift after go-live. Most of that is engineering work, and most of it doesn't happen when a vendor hands over an implementation guide and leaves.
What Changes When Engineers Are Embedded
Ship Faster
Production-ready in weeks, not quarters
Extend Capacity
Expert engineers, embedded with your team
Hit Targets
Scoped outcomes, delivered on time
The FDE Loop
Discover → Integrate → Activate → Operationalize
Discover
Audit systems, identify gaps, define scope
Integrate
Connect data sources, build pipelines
Activate
Deploy workflows, configure automation
Operationalize
Train teams, document, hand off
What Gets Deployed
Data Pipelines
Automated ingestion from EHRs, claims and operational systems, including live integrations with Elation, eClinicalWorks and Spruce Health. For self-funded plans we also pull TPA, PBM, stop-loss and HRIS feeds. Everything gets parsed, codified and mapped to standardized structures through Infera.
Care Gap Workflows
Alerts and task routing built against the measures you actually report on, including HEDIS, MIPS and UDS. They show up where your care team already works instead of in a separate report. More on quality measure tracking.
Performance Dashboards
Executive and provider-level scorecards covering utilization, cost and quality in one view, built on the same standardized data your care team already works from.
Custom Integrations
Purpose-built connections for whatever a standard integration doesn't cover: a scheduling tool, a homegrown database, a regional lab system. If it exposes an API or a file feed, we can usually connect to it.
Compliance Automation
Tracking built against the measures and payer rules that actually apply to you: HEDIS, MIPS, UDS and the documentation requirements your payers enforce. Updated as CMS and payer specifications change, not on a vendor's release cycle.
Documentation
Runbooks, data dictionaries and architecture docs written for the team that inherits the system, so your engineers can maintain and extend what we built after the engagement ends.
Forward Deployed Engineering vs Traditional Engineering vs Healthcare IT Consulting
| Forward deployed engineering | Traditional product engineering | Healthcare IT consulting or SI | |
|---|---|---|---|
| Where the engineer sits | Inside your environment and your workflows | Inside the vendor, behind a roadmap | Inside a project plan, then gone |
| Optimizes for | Your specific outcome | Aggregate market demand | Finishing the scope of work |
| Primary output | Working systems in your production environment | A general-purpose product release | Recommendations, documentation, configuration |
| Speed to first live change | Weeks | Roadmap cycles, so quarters | Weeks to plan, months to deliver |
| Requirement changes | Picked up in the next sprint | Added to a backlog | Change order |
| Who owns the result | You, with docs and runbooks at handoff | The vendor | Usually unclear |
| Healthcare domain knowledge | Sits with the engineer | Generalized into the product | Often advisory rather than build |
Forward deployed engineering
- Where the engineer sits
- Inside your environment and your workflows
- Optimizes for
- Your specific outcome
- Primary output
- Working systems in your production environment
- Speed to first live change
- Weeks
- Requirement changes
- Picked up in the next sprint
- Who owns the result
- You, with docs and runbooks at handoff
- Healthcare domain knowledge
- Sits with the engineer
Traditional product engineering
- Where the engineer sits
- Inside the vendor, behind a roadmap
- Optimizes for
- Aggregate market demand
- Primary output
- A general-purpose product release
- Speed to first live change
- Roadmap cycles, so quarters
- Requirement changes
- Added to a backlog
- Who owns the result
- The vendor
- Healthcare domain knowledge
- Generalized into the product
Healthcare IT consulting or SI
- Where the engineer sits
- Inside a project plan, then gone
- Optimizes for
- Finishing the scope of work
- Primary output
- Recommendations, documentation, configuration
- Speed to first live change
- Weeks to plan, months to deliver
- Requirement changes
- Change order
- Who owns the result
- Usually unclear
- Healthcare domain knowledge
- Often advisory rather than build
None of these models is wrong. Buy the packaged product when your requirements genuinely match what it already does. Hire consultants when you need a decision made rather than a system built. Bring in embedded engineers when the systems are already in place, the data won't connect, and the requirements are still changing.
How We Connect to Your Systems
We connect through HL7, FHIR, C-CDA, direct API and secure file transfer, depending on what your systems support. Live production integrations include Elation, eClinicalWorks and Spruce Health, plus TPA, PBM, stop-loss and HRIS feeds. For a system we haven't worked with before, we need three things before committing to a timeline: access, a data agreement, and a discovery pass. See all integrations.
Security, HIPAA and PHI
Embedded engineers work with real patient and member data, so the controls matter as much as the build. Health Compiler is HIPAA compliant and AICPA SOC 2 Type II certified. We sign a Business Associate Agreement before an engagement starts. PHI stays inside your designated boundary, with role-based access control and a full audit trail covering every access and transformation. Data is encrypted at rest and in transit.
Who This Is For (And Who It Isn't)
A good fit if you:
- Run a direct-care, DPC or concierge practice or network
- Administer a self-funded health plan
- Operate an ACO or VBC network
- Have a reporting backlog and no engineering headcount to clear it
- Already own the source systems and need them connected
Probably not a fit if you:
- •Need a licensed EHR rather than an analytics and integration layer
- •Want a fixed-scope, fixed-price build with no ongoing iteration
- •Are looking for staff augmentation without a defined outcome
- •Need on-premise deployment inside a hospital data center
Frequently Asked Questions
Health Compiler's forward deployed engineering team embeds directly inside your organization to connect EHR, claims and operational systems into standardized, production-ready data pipelines. Engineers work alongside your team through discovery, integration, activation and operationalization, typically delivering a first production outcome inside four weeks. The model is built for direct care practices, self-funded employers and ACO or value-based care networks whose systems and requirements don't fit a packaged integration, within a HIPAA compliant infrastructure.
FDE in Practice
Months of planning
Live in 4 weeks
Siloed data systems
Unified workflows
Manual processes
Automated activation
Built for Healthcare Delivery
Supports ACOs and value-based organizations
Integrates with any EHR, claims system, or operational tool
Scales from pilot projects to enterprise roll-outs
Turn Roadmap Items Into Shipped Features
Tell us what's stuck. We'll look at your current data sources, pick the first workflow worth automating, and show you what four weeks would deliver.