I bridge the gap between Clinical Operations, Data Science, and Commercial Strategy.
Recently identified $125.9M in leakage and architected a Growth OS delivering 6.3x ROI.
Using Databricks & 3B+ claims records.
Compound efficiency via 3-phase rollout.
$180k risk mitigated via attribution stack.
Territory optimization via Trella Health.
Moving beyond reactive care to a proactive ecosystem. Constructing Virtual Health Personas (VHPs) and multi-dimensional interfaces to predict risk and optimize health continuously.
A dynamic, evolving digital twin of the patient synthesized from multi-source data streams. It enables real-time risk prediction and personalized simulation.
Forecasting CKD progression and readmission risk before symptoms appear.
Engaging patients through cognitive, visual, and behavioral layers. Delivering the right message at the right time based on real-time VHP insights.
AI-driven natural language guidance.
Intuitive dashboards making health data actionable.
Gamification and nudges driving adherence.
Moving from reactive care to proactive, data-driven health management. Integrating claims data, predictive analytics, and clinical workflows to optimize patient outcomes and revenue.
Targeting high-risk cohorts via multi-channel engagement (SMS, Email, App) to drive preventative care utilization.
Comprehensive 360° assessments: Physicals, HbA1c, Mental Health, Med Rec, and SDOH screening.
Longitudinal management for HTN, CHF, DM, COPD, and CKD. Reducing readmissions via transitional care.
Physician-led overreads and post-visit analytics to ensure accurate RAF/HCC scoring and diagnosis capture.
The central nervous system of our population health strategy. We ingest disparate data streams to build a unified patient view for risk stratification and actionable insights.
Leveraging predictive modeling to identify at-risk patients *before* adverse events occur. Shifting the paradigm from treatment to prevention.
Identifying undiagnosed renal disease progression risks.
Targeting high-utilizers for transitional care interventions.
Quantifying social risk factors affecting health outcomes.
Forecasting shared savings & quality incentive attainment.
All operations designed within Article 28 guardrails, ensuring compliance with NYS DOH regulations for diagnostic and treatment centers, including physical plant standards, staffing requirements, and quality assurance programs.
A 90-day transformation roadmap that replaces fragmented tools with a unified command infrastructure. Interact with the phases below.
Establish single source of truth. Decommission legacy tools (Apollo/Sheets) and migrate to centralized HubSpot core.
Launch lifecycle automation. SEO content clusters, nurture drips, and clinical signal integration (NexHealth).
Predictive ROI modeling. Payer intel integration (Definitive HC) and territory optimization via Power BI.
Moving beyond vanity metrics. I align Marketing, BizDev, and Finance using Program Lifetime Value (PLVT) and cohort-based economics.
LTV:CAC Ratio by Channel
"We generated 10,000 leads at $50 CPL. We stayed within budget."
"We invested $1.2M to acquire 800 customers. 12-month LTV is $6k (4:1 Ratio). Payback period is down to 3 months."
We don’t outsource. I build in-house SEO engines that align clinical rigor (E-E-A-T) with enterprise growth, turning websites into predictable patient generators.
Targeting based on Databricks/Intellimed claims data, not just search volume.
Mandatory clinician sign-off workflow (MD/PharmD) on all pillars.
HubSpot → Epic/Athena mapping to track organic lead to clinical start.
Deploying "House Calls" logistics and Payer-Aligned care programs to close gaps and reduce hospital readmissions.
AI Intent classification. Identify eligibility. Route to 'Qualified'.
Field clinicians execute visit. Collect documentation. Initiate RPM.
Coding support. Denial management. FPY monitoring.
A turnkey solution aligning with payer quality incentives (HEDIS/STAR). Delivered six-figure incentive payments by closing multiple gaps in single "block" visits.