Consulting FAQ & Expert Insights

Standard audits check if your "doors are locked." I check if your "clinical data is safe." I perform deep-packet inspection of your FHIR resources to ensure they meet USCDI v3/v4 mandates and Clinical Safety protocols. Security auditors check your firewall; I check your sepsis alert logic.

No. I provide Technical Implementation Advice. I take the requirements from your legal team and translate them into SQL scripts, Databricks pipelines, and AWS/Azure configurations. I am the "How," not the "Law."

The HTI rules (HTI-1, HTI-2, HTI-3, HTI-4) set hard deadlines for certified Health IT. Any application connecting to certified systems (like Epic or Cerner) MUST support US Core 6.1.0 and USCDI v3/v4. If you miss these deadlines, your integration could be disabled or lose its ONC certification. View current ONC certification deadlines.

Yes. That is a core specialty. I architect NLP-driven pipelines using custom SQL tools, Redgate, and Google Cloud Healthcare APIs (which I am currently using). I am also researching and comparing Azure Health Data Services and AWS Comprehend Medical for future implementations. Compare Azure, AWS, and Google Cloud Healthcare APIs.

Different data types: Redgate and SQL masking excel at structured data (database columns: demographics, billing codes, SSNs, addresses). Cloud APIs (Azure, AWS, Google) excel at unstructured text (clinical notes, discharge summaries).

Complementary, not competing: Use Redgate for dev/test copies and column-level masking with referential integrity. Use cloud APIs for real-time de-identification of free text before it reaches your data lake.

Hybrid approach: I use custom SQL, Redgate, and Google Cloud Healthcare APIs together. See the full comparison for when to use each.

I perform a technical audit of your Decision Support Intervention (DSI) logic, ensuring the source attributes and training data provenance are traceable and compliant with federal (b)(11) rules.

Many teams use static 'dummy' data that fails to catch real-world edge cases. I architect automated pipelines that provide high-fidelity, de-identified clinical data for daily environment hydration.

Yes. The goal is to move from manual regression to automated stability. I specialize in the 'Break-Fix' analysis and automated E2E testing required for major EHR updates.

Platform choice should not dictate compliance. I build 'In-Place' de-identification and data governance architectures that work natively across all three major clouds.

You're not hiring a vendor; you're hiring a coach, mentor, trainer, validator, and best-practices expert who can work with you at the C-suite level or down to engineers and QA. I've designed pricing to be transparent and aligned with how lean HealthTech teams actually work.

Getting started:

• Free 15-minute intro: A no-obligation call to see if we're a fit.

• 60-minute Technical Diagnostic & Scope of Work (SOW): $349. A focused session to review your architecture, identify gaps, and build a clear SOW. Requires a signed NDA and BAA before we begin.

Ongoing engagement:

• Consult packages: $199-$299/hour, depending on scope and commitment. Rates are agreed in writing before work starts.

• 10-hour blocks: $249/hour when purchased in 10-hour increments.

• Retainers: Custom retainers for defined scope, milestones, or ongoing support.

All rates are guaranteed in the SOW before any work begins.

vs. large consultancies: You avoid enterprise overhead, long sales cycles, and junior staff doing the work. You get a senior practitioner who has validated 20M+ healthcare records and led compliance at scale, without the big-firm markup.

vs. boutique firms: You get the same deep expertise, but with a fractional model built for startups: milestone-based engagements, no long-term lock-in, and pricing that fits early-stage budgets.

You get direct access to someone who has architected FHIR pipelines, led HTI compliance, delivered $13M in cost avoidance, and achieved zero critical or high defects in production when managed by my teams or me over 15 years, not a team of analysts with limited hands-on experience.

I typically respond within 48 hours of your message. For active engagements, we agree on response-time expectations in the SOW.

I work with a limited number of clients at a time so each engagement gets focused attention. If you need urgent support, we can discuss expedited availability during the 60-minute diagnostic.

Specific terms, including response-time SLAs, are documented in the signed SOW or engagement agreement.

Yes. If you don't find value in our engagement, or if my audit finds no critical issues in your data architecture, we'll work with you to make it right, including a refund of fees paid for that engagement, subject to the terms in our agreement.

My goal is to earn your trust through results, not through long-term contracts. The guarantee reflects that commitment.

Specific terms and conditions are documented in the signed SOW or engagement agreement.