Healthcare Data Intelligence
Clinical teams need standardized research data. IT teams are maintaining complex systems. Business leaders want measurable outcomes. Each group operates with different assumptions and priorities, and projects often stall in the space between them.
My work focuses on closing those gaps. With more than 15 years across federal agencies, academic medical centers, and life sciences organizations, I help teams turn fragmented data environments into systems that reliably support clinical research, real‑world evidence, and observational studies.
I focus on the alignment and decision‑making that make technical work possible. When an OMOP implementation slows because clinical and IT teams are working from different mental models, I help clarify requirements and establish a shared path forward. When a cloud migration feels too large to sequence, I break it into concrete phases with clear ownership. When stakeholders lose track of the broader objective, I reestablish context and drive issues to closure.
Academic Medical Centers: Provided strategic guidance for the University of Pennsylvania's Epic OMOP integration, one of the most complex academic medical center implementations in the country.
Academic Medical Center Consulting: Spent seven years as Principal Consultant serving Hospital of the University of Pennsylvania, Penn Presbyterian Medical Center, and Pennsylvania Hospital—architecting data marts, building operational dashboards, and translating complex clinical metrics into executive insights.
Life Sciences & Healthcare IT: Deep experience with EHR systems (Epic, Cerner, Allscripts), claims databases, clinical trial data, and patient registries across pharmaceutical and health IT environments.
Federal Healthcare: Consulted with SpinSys on the Defense Health Agency's OMOP implementation—navigating the unique challenges of large-scale federal healthcare data standardization.
Azure • AWS • Oracle Cloud • Snowflake • SQL Server • PostgreSQL
OMOP CDM • OHDSI Toolstack • HL7 • FHIR
Tableau • Power BI • SQL Server Reporting Services
Data Sources Expertise: EHR systems (Epic, Cerner, Allscripts) • Claims databases • Clinical trial data • Patient registries