
I’ve spent more than two decades building, operating, and modernizing enterprise healthcare systems—long before “digital transformation” became a buzzword. My career began deep in the infrastructure and data layers, architecting SQL Server–based platforms that supported clinical operations, claims processing, analytics, and regulatory reporting across complex healthcare environments.
Before consulting, I led hands‑on delivery across clinical and claims ecosystems such as Altruista Guiding Care, HealthRules Payor and Care Manager, InterQual, McKesson, and Compliance360. My work included enterprise ETL and reporting, custom automation, data warehousing, and large‑scale system migrations—always under real production pressure, regulatory constraints, and downstream operational impact.
Since 2019, my focus has shifted from system‑level fixes to outcome‑driven consulting. I work across health insurance and HealthTech organizations to support go‑live readiness, claims conversion, workflow automation, and platform integration—helping teams move faster without sacrificing rigor, compliance, or accountability.
AI is now part of that delivery model—but not as a shortcut, and not as a replacement for experience.
I use AI as a force multiplier: to accelerate discovery, reduce documentation friction, improve communication clarity, and help structure repeatable solutions. The goal isn’t automation for its own sake—it’s enabling experienced practitioners to spend more time validating outcomes and less time fighting tooling, context‑switching, or administrative overhead.
Judgment, system accountability, and PHI‑aware decision‑making remain human responsibilities. AI simply removes friction so those skills can be applied where they matter most.
Solutions Dojo started as a place to document real‑world technical solutions. It’s now evolving into a practical lab for:
Whether you’re a systems analyst, engineering leader, CTO, or consultant, Solutions Dojo focuses on how work actually gets done in modern healthcare technology environments—and how AI can be used responsibly to improve results.
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