Skills

Senior Interoperability Product and Delivery Capabilities

This page is the detailed capability inventory behind the homepage summary, organized around standards depth, connectivity patterns, product judgment, delivery execution, and representative technical artifacts.

Capability Areas

Ownership Areas

Interoperability Standards & Healthcare Domain

Standards, care settings, and implementation constraints used across career-long EHR interoperability work.

  • Care-setting breadth across hundreds of ambulatory and acute care EHR/EMR systems, including Epic, eClinicalWorks, and ModMed environments
  • Standards and auth: HL7 v2, FHIR DSTU2, R4, and R5, SMART on FHIR, CDS Hooks, and OAuth2
  • Workflow alignment across clinical, operational, vendor, and engineering teams in regulated interoperability programs
  • Discovery and acceptance criteria definition for mixed legacy and modern connectivity models

Product Strategy, Ownership & Delivery Governance

Product strategy and program practices used to keep delivery credible from discovery through launch.

  • Discovery facilitation, scope definition, and requirement traceability
  • Prioritization using implementation risk, support trends, and onboarding friction
  • Story writing, acceptance criteria, launch gates, and dependency tracking
  • Standardization decisions versus partner-specific exception handling
  • Cross-functional planning across engineering, QA, operations, and customer teams
  • Risk management, escalation handling, and executive-ready status communication

Technical Delivery & Implementation Operations

Execution depth across connectivity patterns, testing, production readiness, and issue flow.

  • Connectivity patterns: databases, ODBC, SQL, REST APIs, OpenAPI or Swagger artifacts, webhooks, and interface engines
  • RabbitMQ, queue-based coordination, and event-driven workflow management in high-volume delivery environments
  • Automation and RPA-style operational workflows that reduce manual handoffs and reporting churn
  • Integration testing, UAT sequencing, defect triage, cutover readiness, and post-live stabilization

Stakeholder Leadership & Post-Live Optimization

Operational leadership focused on stable launches and measurable follow-through after release.

  • Hypercare leadership, incident ownership, and support handoff design
  • SLA performance review, support trend analysis, and remediation prioritization
  • HIPAA-aware delivery practices, PHI/PII handling, and audit-conscious process design
  • Tooling fluency with Jira, Confluence, Azure DevOps, GitHub, and SQL-based reporting collaboration
Technical Artifacts

Representative Interoperability Artifacts

These are anonymized examples of the working artifacts that make EMR connectivity programs more predictable. They are included to show how complex interoperability work is framed and controlled, not to showcase coding for its own sake.

Interoperability Discovery Checklist

An anonymized scoping artifact used to define EMR connectivity work before implementation starts.

Purpose

Clarify partner-system constraints early so technical, operational, and client-facing teams are working from the same problem definition.

What It Covers

  • Workflow, care-setting, and source-system context for the integration request
  • Connectivity model selection across HL7 v2, FHIR, SMART on FHIR, CDS Hooks, APIs, interface engines, databases, and ODBC
  • Mapping assumptions, authentication needs, test dependencies, and launch ownership
  • Support, escalation, and post-live accountability expectations before build begins

Why It Matters

It reduces avoidable churn by making interoperability constraints explicit before they become late-stage delivery surprises.

Hybrid HL7 and FHIR Delivery Playbook

A representative playbook for programs that have to support both legacy interface-engine workflows and more modern API or FHIR delivery.

Purpose

Give implementation, engineering, QA, and support teams one operating model when the technical stack spans both installed-base and modern interoperability patterns.

What It Covers

  • Contract review, acceptance criteria, and readiness checkpoints shared across legacy and API-based workstreams
  • Testing, cutover, and handoff expectations for interface-engine, HL7, and FHIR-driven implementations
  • Ownership rules for production support when different integration models coexist
  • Guidance for standardizing repeatable patterns versus allowing partner-specific exceptions

Why It Matters

It shows how to modernize interoperability delivery without pretending the installed base of EMR connectivity constraints has disappeared.

Go-Live Risk and Hypercare Model

A launch-control artifact used to keep release decisions, cutover communication, and early-life support grounded in real readiness signals.

Purpose

Create a shared view of go or no-go evidence, dependency owners, escalation expectations, and post-live follow-through.

What It Covers

  • Readiness checkpoints tied to testing completion, data quality, interface behavior, and support coverage
  • Dependency tracking across engineering, QA, operations, implementation, and client stakeholders
  • Hypercare severity paths, incident ownership, and communication expectations
  • Post-live review loops that feed stability issues and onboarding lessons back into future delivery work

Why It Matters

It demonstrates operational accountability beyond the interface build itself, which is often where healthcare SaaS programs succeed or fail.