Work
What I build — and the outcomes it produces
A practitioner's depth across applied AI, automation, and healthcare interoperability, evidenced by documented engagements with measurable results.
Capabilities
Full capabilities & connector depth →HL7 v2 & FHIR Interfaces
Interface design, build, testing and go-live across clinical, operational and vendor-facing systems — 250+ delivered.
- HL7 v2.x · ADT, ORU, ORM, SIU, DFT
- FHIR R4 · SMART on FHIR · OAuth2
- C-CDA
Epic Bridges
Certified Epic Bridges work: building and validating interfaces, and carrying migrations through to a clean go-live.
- Epic Bridges (certified)
- Data Courier
- Migrations & go-live readiness
Interface Engines
Multi-engine interface logic — routing, transformation and monitoring on the engines health systems actually run.
- InterSystems IRIS / HealthShare
- Cloverleaf · Rhapsody
- Mirth Connect · Corepoint
Lab & Imaging Interfaces
Lab networks and imaging systems wired into the record: orders out, results back, images where clinicians need them.
- Lab orders & results
- DICOM · PACS / RIS
- Cloud imaging migrations
Healthcare Data
Clinical and operational data modeled, moved and made queryable — millions of rows across AWS and self-hosted infrastructure.
- SQL · Python
- AWS data platforms
- Data modeling & pipelines
AI on Clinical Data
Applied AI and automation built on top of the integrations — escalations, summaries and operational intelligence that run in production.
- Agentic automation
- Decision support
- n8n · Workato orchestration
Case Studies
Outcomes, evidenced
Selected engagements drawn directly from documented experience — challenge, approach, what was implemented, and the measurable outcome. No invented clients, quotes, or metrics.
Case 01
Epic Migration Program
Enterprise EHR · specialty healthcare
Challenge
A high-volume specialty healthcare organization needed to own enterprise Epic interoperability and migration end-to-end — across Epic Bridges, Data Courier, FHIR, and OAuth — while protecting patient-identity integrity through the transition.
Approach
Took full ownership of the migration and interoperability workstreams from planning through go-live, treating patient identity and interface discipline as the make-or-break factors rather than the cutover date.
Measurable outcome
Delivered production go-live with downstream data integrity protected: identity conflicts resolved through EMPI reconciliation, and external interfaces accepted reliably across vendors.
Executive takeaway
Migrations succeed or fail on identity and interface discipline — not on the cutover date. Get those right and the go-live is a non-event.
Case 02
Contact Center Intelligence Initiative
Multi-site specialty healthcare
Challenge
A 10+ year call-center operation handling 1.2M calls a year had no data layer to govern AI agents, telephony, QA, and vendor performance — leaving spend and outcomes effectively unmeasured.
Approach
Built an executive-grade intelligence and contract-leverage reporting layer that benchmarks vendors against each other and against the business, not against the demo.
Measurable outcome
Surfaced underutilization and misunderstood intent, validated vendor claims, and supported pricing reductions through data-backed usage reports — turning a cost center into a governed, measurable operation.
Executive takeaway
AI in the contact center only pays when it is measured against the business. Instrument first; the savings and accountability follow.
Case 03
Healthcare Integration Architecture
Healthcare interoperability · incl. U.S. federal ecosystems
Challenge
Hybrid EHR ecosystems needed reliable, standards-compliant HL7 and FHIR exchange across Epic, Cerner, and Meditech — with documentation rigorous enough for federal healthcare integration teams.
Approach
Architected interoperability frameworks and multi-engine interface logic, paired with control documentation detailed enough to guide implementation at federal scale.
Measurable outcome
Delivered 250+ interfaces and 15+ large-scale HIE programs at 95% client satisfaction, while reducing post-deployment defects by 30% through code review and disciplined testing.
Executive takeaway
Interoperability is an architecture problem, not a connector problem. Frameworks and documentation are what make it scale.
Case 04
AI Advisory & Automation
Applied AI · time-critical clinical & operational workflows
Challenge
High-latency, manual clinical and operational workflows needed event-driven automation and applied AI — focused where delay is genuinely expensive.
Approach
Designed automation pipelines and applied-AI solutions on observable infrastructure, prioritizing the moments where latency or missed signal carries real cost.
Measurable outcome
Reduced response time in critical stroke cases through automated escalation, and gave leadership data-driven governance over a 1.2M-call operation — automation aimed where it changes outcomes.
Executive takeaway
Automation's ROI shows up where latency is expensive. Escalate the right signal at the right moment and the rest is housekeeping.
Want this for your organization?
Bring your challenge to a strategic advisory session.