Headshot of Lujean El-Hadri

Lujean El-Hadri

Where healthcare meets analytics: building smarter systems, one insight at a time.

Every dataset tells a story, mine is about turning challenges into opportunities for better care.

About Me

My path into health informatics wasn't a straight line, it was a gradual realization that the systems behind healthcare are just as important as the care itself.

I began on the operational side of healthcare, managing claims, reimbursements, and patient coordination. Over time, I realized that every inefficiency told a story, one that could be rewritten through data and design. That curiosity about why things worked the way they did grew into a passion for analytics and process improvement.

What started as small experiments with spreadsheets and workflows evolved into full-scale data projects, visual dashboards, and automated scoring models. Each one teaching me how technology can simplify complexity and empower better decisions.

This site is both a reflection and continuation of that journey: a space where I learn by building, and where I share the insights that come from transforming questions into measurable solutions.

Projects

Featured BI and analytics work samples.

SQL Power BI Python Live Demo

SMS Outreach Pilot

Stratified scoring + automated SMS to increase HRA completions. Includes Power BI dashboard and Jupyter notebook breakdown.

Increased completion rate by 23%
SMS Outreach Dashboard
NLP Python SQL In Progress

AURA – AI-Driven Claims Optimizer

Concept prototype that flags likely denials before submission using NLP rules + heuristics. Workflow design and data model are defined; UI and demo in progress.

Target: 40% reduction in denial rate
Power BI DAX SQL In Progress

VITALSIGN – Patient Risk Visualization

Interactive dashboard concept for identifying rising-risk members from encounters, gaps, and utilization signals. Feature backlog and design system are scoped.

Target: Monitor 10K+ high-risk patients

What I Do

I design data products that make healthcare simpler: clear models, useful dashboards, and automation that respects people and process.

Data Modeling & SQL

Clean, join, and model messy healthcare data into dependable datasets for analysis and reporting.

  • Star schemas, views, and repeatable queries
  • Quality checks & documentation

Power BI & Storytelling

Executive-ready dashboards that highlight the signal, not the noise, with clear KPIs and drill-downs.

  • Accessible design & performance tuning
  • Data lineage from dashboard → code

Automation & RPA

Turn repetitive work into reliable flows with Python and Power Automate—documented, auditable, and safe.

  • Event-driven outreach & alerts
  • Notebook → pipeline handoff

Healthcare Ops & Compliance

BI grounded in payer/provider operations: claims, denials, HRA workflows, and member-first design.

  • HIPAA-aware data handling
  • D-SNP outreach & STAR context

Communication & Enablement

Translate complex analytics into clear steps for operators, with living docs and training-ready visuals.

  • Runbooks & change logs
  • Mentor-style code walkthroughs

Let's Connect

Interested in collaborating or learning more about my work? I'd love to hear from you.

SMS Outreach Pilot

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SMS Outreach Dashboard snapshot

Automated SMS outreach + risk-based scoring to drive HRA completion in D-SNP members. Dashboard tracks outreach tiers, engagement lift, and completion movement.

Below: secure Power BI embed. If you're not authorized, you may just see an empty frame.

AURA – AI-Driven Claims Optimizer

Pre-submission claims quality engine • clean-claim rate • first-pass yield

AURA reviews each claim line before submission and flags preventable denial risks like: eligibility inactive, expired/missing auth, invalid or missing modifier, telehealth POS mismatch, out-of-network rendering, provider not credentialed, duplicate billing, late filing, and missing dental tooth/surface.

Each claim line gets: a 0–100 risk score, a priority tier (High / Medium / Low), and a due-by SLA (1-day, 3-day, 7-day). That output is basically a worklist ops can act on to clean claims before we send them to the payer.

The dataset (aura_claims_synthetic_300.csv) is synthetic: no PHI. It simulates 300+ realistic claim lines across Medicare Advantage, Medicaid, and Commercial; medical, behavioral, and dental.

Goal: reduce avoidable denials and shorten time-to-reimbursement by stopping bad claims before they leave.