Dr. Ryan McElyea (he/him)
Senior Consultant for Program Evaluation and Data Validation
Ryan McElyea is a Senior Quantitative Researcher and program evaluator who specializes in the mathematical validation of technical and educational performance. While many analysts focus on abstract data sets, Dr. McElyea applies the rigorous principles of Program Efficacy to determine the actual worth and merit of systemic workflows. He approaches "Clinical Kintsugi" by evaluating the "stress points" of a program's design, using predictive modeling to ensure that organizational interventions lead to measurable, sustainable results.
Dr. McElyea’s authority is defined by his ability to translate complex statistical outputs into actionable business intelligence. Having optimized predictive algorithms for Progressive Insurance and performed psychometric validation for the Cleveland Clinic Office of Patient Experience, he bridges the gap between complex enterprise data modeling and high-stakes healthcare performance measurement. His work focuses on building the Evaluation Architecture that allows institutions to move beyond simple data collection and into high-fidelity performance improvement.
Program Evaluation and Performance Efficacy
Lead for Technical Program Evaluation; applying psychometric and longitudinal analysis to assess program efficacy and isolate variables contributing to technical aptitude.
R&D Portfolio Manager; providing oversight for the end-to-end development and validation of a student-driven engineering capstone pipeline.
Applied expertise in Latent Variable Modeling; utilizing Structural Equation Modeling (SEM) and Path Analysis to evaluate real-world STEM program outcomes.
Data Validation and Predictive Analytics
Algorithm Optimization Lead; refreshing and optimizing coefficients for high-stakes predictive algorithms to enhance the accuracy of large-scale organizational models.
Enterprise Data Analyst; executing complex SQL queries across organizational databases containing millions of records to perform feature engineering and data validation for predictive modeling.
Model Validation Analysis; conducting rigorous model validation to translate multivariate statistical outputs into strategic intelligence for leadership.
Clinical Systems Integrity and Patient Experience
Psychometric Validation Specialist, Cleveland Clinic Office of Patient Experience; utilizing factor analysis and reliability testing to ensure the data integrity of patient experience instruments.
HCAHPS Analytical Lead; performing multivariate analysis on patient satisfaction trends to identify the distal factors impacting organizational performance.
Lead for Process Control; developing Standard Operating Procedures (SOPs) that reduced technical failure rates by 40% through rigorous mathematical validation and oversight.
