Physician-Informaticist deploying HIPAA-compliant clinical AI at scale.
I architect and ship production AI on Anthropic Claude (AWS Bedrock) for 40+ post-acute facilities, pairing five years of frontline medicine with health informatics and hands-on engineering.
Essen Healthcare · Bronx, NY
A clinician who builds.
I spent over five years as a practicing medical doctor, managing 50+ daily patient encounters, before moving into health informatics in the US, earning an MS at Sacred Heart (GPA 3.92) and an AI in Healthcare credential from Johns Hopkins.
That clinical grounding is the point. I don't build healthcare AI from the outside looking in. I build it knowing exactly where documentation breaks, where clinicians lose time, and where a tool has to earn trust before it earns adoption.
Today, as Clinical Informatics Analyst - AI & Automation at Essen Healthcare, I architect production clinical AI serving ~10,000 SNF patients, lead a team of 17, and train ~50 clinical staff on the tools I build. My focus is clinical AI that earns trust: documentation that's accurate, compliant, and actually gives time back at the point of care.
My path
Where I've worked.
- Architected a HIPAA-compliant clinical documentation platform serving ~10,000 SNF patients on Anthropic Claude (AWS Bedrock), auto-generating E&M-compliant notes across APCM, AWV, monthly, and specialty visits with embedded CPT/HCPCS suggestions.
- Hardened the platform to pass corporate security review with field-level PHI encryption, JWT/refresh-token auth, and role-based access across 4 provider roles, resolving 90 audit findings.
- Built an AI HCC risk-adjustment gap-analysis tool on CMS-HCC V28 (8,019-code ICD-10 crosswalk) surfacing undercoded diagnoses with verbatim evidence and per-patient RAF gain across 6+ EHR systems.
- Lead a functional team of 17 Clinical Assistants and deliver AI adoption training to ~50 staff across 40 facilities.
- Optimized clinical workflows across SigmaCare, PointClickCare, WellSky, and eClinicalWorks, improving data accuracy, interoperability, and care coordination across post-acute facilities.
- Strengthened documentation and intake processes to support high-quality downstream clinical decision-making and value-based care initiatives.
- Managed 50+ daily patient encounters; built structured documentation frameworks that improved patient satisfaction by 25% and reduced follow-up inquiries.
- Led COVID-19 protocol training to 100% staff completion and launched a patient resource guide that cut appointment no-shows by 15%.
- Managed and documented a broad range of complex cases across multiple clinical departments.
Systems I've built and shipped.
Production clinical AI designed, built, and deployed across the post-acute network.
Clinical Documentation Platform
HIPAA-compliant platform serving ~10,000 SNF patients that auto-generates E&M-compliant notes on Anthropic Claude (AWS Bedrock) with embedded CPT/HCPCS code suggestions, hardened to pass corporate security review.
HCC Risk-Adjustment Gap Analysis
An AI tool on the CMS-HCC V28 model (8,019-code ICD-10 crosswalk) that surfaces undercoded diagnoses with verbatim source evidence and per-patient RAF gain, with guardrails preventing code fabrication across 6+ EHRs.
Clinical Note Agents
A suite of Copilot Studio agents drafting structured notes for Annual Wellness Visits, APCM/GPCM care management, and pulmonology consults, refined iteratively against real clinician feedback.
Operational Dashboards
Real-time dashboards giving nursing-home division leadership visibility into provider productivity, encounter volume, and facility census trends across the network.
Published thinking.
Award-winning research on deploying clinical AI responsibly, distilled into a short, readable brief.
What a systematic review of AI in breast cancer detection reveals about deploying clinical AI without quietly leaving patients behind.
Read the research brief →“Representativeness is not a compliance step at the end. It is the design.”
Credentials.
Let's build something that helps clinicians.
Open to conversations about clinical informatics and healthcare AI. I'd be glad to connect.