Chris King PT, DPT
Healthcare Operations Strategist | Data Analyst
Healthcare Operations Strategist | Data Analyst
Healthcare operations analyst and licensed Doctor of Physical Therapy with 8+ years of experience driving clinical and business transformation through data-driven strategy, team leadership, and process optimization.
Completed the 6-month Data Analytics Essentials program at UT's McCombs School of Business to deepen analytics skillset including querying databases using SQL, writing Python code, and leveraging Power BI's data modeling and data visualization tools.
A career built on bridging the gap between the bedside and the boardroom, translating clinical insight into strategic, measurable outcomes.
Led a nationwide team of 19 nurses conducting prior authorization utilization reviews across cardiology and radiology, while simultaneously building performance analytics infrastructure.
Reviewed 250+ physical therapy cases weekly across Medicaid, Medicare, and commercial insurance, demonstrating expertise in pediatric and orthopedic prior authorization eligibility.
Led a team of 8 clinicians serving the pediatric Medicaid population in Central Texas, maintaining the highest clinical and documentation standards while mentoring a high-performing therapy team.
Every project solves a real operational problem — and has the data to prove it.
Data Privacy Notice: All dashboard data has been randomly generated or simulated. No PHI or proprietary information is included.
Designed and scaled an Excel OKR dashboard system deployed to 600+ clinical staff, driving six-figure incentive budget allocations.
Built VBA-powered tools for real-time staff performance visibility, automating weekly productivity reporting and reducing manual overhead.
Built a standardized ETL framework to normalize operational reporting, enabling scalable analytics and reliable performance insights across the org.
Partnered with UAT Product Management to optimize cardiology prior auth workflows using Power BI, improving throughput and clinical accuracy.
Python and SQL projects completed through the UT McCombs School of Business Data Analytics Essentials program, covering pandas, NumPy, matplotlib, and database querying.
Stratify Performance Lab is a simple web-based prototype exploring how clinicians and coaches could use structured video, movement data, and AI-assisted feedback to improve lifting technique and training decisions. It combines my background in physical therapy, biomechanics, and analytics into a lightweight demo.
A rare combination of licensed clinical expertise and modern data analytics capabilities.
6-month intensive covering SQL, Python (pandas, NumPy, matplotlib), and Power BI data modeling and visualization. Applied directly to real-world healthcare analytics challenges.
Comprehensive clinical and research training in human movement, rehabilitation, and evidence-based practice. Foundation for clinical expertise across acute, pediatric, and orthopedic settings.
Combined degree in human movement science with a business foundations certificate — an early integration of clinical and strategic thinking that defines my career trajectory.
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Whether you're building a healthtech product, scaling a clinical ops team, or need someone who can turn raw data into strategic decisions — I'd love to connect.