Who I Am
I help clinical organizations guarantee their systems are sound, stable and solid.
150+
20+
Years in regulated healthcare
Successful projects
Certifications
My Background
With 20+ years in regulated healthcare software, I specialize in data integrity, AI Training and oversight, and clinical QA across EHR platforms like Epic, Oracle Health, and Cerner.
I've led cross-functional teams to build SQA departments, deployED compliant AI models boosting efficiency by 70%, and executed complex upgrades like 270-step Documentum validations.
I bring that expertise to your team—turning operational challenges into reliable, user-friendly systems that stand up to audits and drive results.
Experience Matters
With over 20 years in software and data quality and two years in AI model training, I bring practical insights that drive real results.
AI is entering outpatient care faster than governance frameworks can keep up. Dentistry, physical therapy, chiropractic, optometry, and even hospital systems are adopting AI tools that influence diagnosis, treatment planning, and clinical decision‑making — often without the safety, validation, or oversight structures that protect patients and clinicians.
After years working at the intersection of software quality, clinical data integrity, and AI risk, I saw the same pattern repeating across every domain: the technology was advancing, but the oversight wasn’t.
Clinicians were being asked to trust systems they didn’t understand. Organizations were deploying AI without clear validation. Vendors were defining “safety” on their own terms. And the people using these tools were being forced to adapt to systems that didn’t fit their workflows.
My work exists to correct that imbalance. My method is a universal, human‑centered framework that ensures AI systems are safe, clinically grounded, and aligned with real‑world practice. It’s designed around a simple principle — People > Process > Product — because governance must begin with the humans who rely on these tools, not the tools themselves.
I provide a structured, clinically aligned way to validate AI, integrate it into workflows, monitor its behavior, and continuously evolve processes as real‑world use reveals new risks. It gives outpatient organizations — and hospitals — a clear, defensible path to safe AI adoption.
Services
Tailored AI training, software quality, and process development for regulated sectors.
AI Validation
Ensures your healthcare AI initiatives are auditable, clinically safe, and compliant across regulated platforms like Epic and Oracle Health.
Software Quality
Ensures your software meets strict regulatory standards without compromise.
Ensures accurate, interoperable data across EHRs through rigorous reconciliation and quality checks.
Clinical Data Validation
The 4SR Process
Our process management makes your processes Sound, Stable, and Solid
Our 4SR Process
Four-Step Revision – IonSQA turns QA guesswork into repeatable quality.
1. Observe - We map your AI, software, and data across workflows, devices, and edge cases.
You get: Complete baseline of what works (and what doesn't).
2. Interpret - Analyze findings to prioritize risks by business impact and fix urgency.
You get: Clear action plan ranked by ROI, not just bug count.
3. Report - A full write-up of our findings and recommendations.
You get: A plan to improve the health of your AI, Governance, software quality, and data integrity
4. Revise - Processes that evolve with you.
You get: Production confidence + self-serve QA playbook.
Contact us today using the "Contact" link in the header section of this page.