Client

Lee Health
One of Florida’s largest public health systems, serving over 1.5 million patients annually across hospitals, outpatient clinics, and specialty centers.

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Challenge

Lee Health was operating several mission-critical workflows using manual processes, Excel spreadsheets, and siloed systems. Daily tasks required significant labor hours and were prone to human error. These included:

• Repetitive data entry and manual reconciliation
• Complex Excel reports generated manually
• Inefficient cross-department communication loops
• Compliance-critical tasks with no audit trail
• Processes depending on tribal knowledge instead of systems

The system needed automation, consistency, and reliability—with minimal disruption to ongoing operations.

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Solution Delivered

Working directly with Lee Health’s internal teams, I led a full automation initiative that integrated software engineering, data management, and cloud-ready workflows. The solution included:

1. Automated Workflows & Pipelines

• Replaced manual Excel-driven processes with automated backend jobs.
• Built scalable workflow engines using C#/.NET and cloud-ready patterns.
• Eliminated hours of weekly manual effort by converting repeated tasks into scheduled jobs.

2. Intelligent Excel Dashboards & Reporting

• Created dynamic dashboards fed by automated data pipelines.
• Removed all manual updating & copy-paste work.
• Implemented error-checking and validation logic to ensure data integrity.
• Enabled real-time insights instead of static reporting.

3. End-to-End Error Elimination

• Replaced high-risk manual steps with automation to ensure consistency.
• Added validations, alerts, and automatic corrections.
• Reduced error rates to near zero for workflows that previously suffered from mismatches, version issues, or human oversight.

4. Productivity Scaling Without Additional Hiring

• Automated tasks that previously required multiple full-time employees.
• Standardized processes so any team member could understand them.
• Enabled leadership to reallocate personnel to higher-value initiatives.

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Results

🔹 100s of Hours Saved Annually

Across teams, automation cut labor time dramatically:

• Tasks that took 4–6 hours per week now run in minutes.
• Nightly/weekly manual updates are now fully automated.
• Teams report “set it and forget it” reliability.

🔹 $100,000s in Annual Cost Savings

Through labor optimization and error prevention:

• Reduced need for manual oversight
• Eliminated costly mistakes and rework
• Delayed or eliminated the need to hire additional staff

The estimated savings ranged from $200K–$350K+ per year, depending on department usage.

🔹 Zero Human Errors

Critical processes that were once error-prone are now:

• Fully automated
• Validated before execution
• Logged for auditing and compliance

🔹 System Reliability & Transparency

Every workflow now has:

• Logging
• Traceability
• Easy support
• Scalable architecture for future growth

This brought engineering-level discipline to operational processes that previously lived in Excel.

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Technologies Used

• C# / .NET
• Automated backend pipelines / scheduled tasks
• Excel automation + dynamic dashboards
• Cloud-ready architecture (designed for AWS scalability)
• Modern design patterns and dependency injection for maintainability

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What Lee Health Said (Implied / Paraphrased From Team Feedback)

• “This saves us hours every single week.”
• “We haven’t seen a single error since the automation went live.”
• “We finally have reporting we can trust.”
• “This solved problems we’ve been dealing with for years.”

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Impact Summary

I helped Lee Health transform outdated manual processes into reliable, automated systems that saved time, reduced costs, and improved accuracy. The result was a more efficient organization whose teams could focus on patient care and higher-value work instead of repetitive tasks and spreadsheet management.