
Welcome to the

at Clemson University


Our Mission
The Ortho-INSIGHT Lab (Informatics & Systems Intelligence for Generating High-Value Treatment) is dedicated to advancing orthopaedic care through data-driven discovery. Our overarching research goal is to generate high-quality treatment evidence by leveraging real-world data to better inform clinical decision-making, improve patient outcomes, and elevate the quality of musculoskeletal care. We focus on transforming observational data into actionable insights, developing clinical decision support tools that empower physicians and patients to make evidence-based treatment choices aligned with individual patient goals. Through innovative applications of informatics and systems intelligence, the Ortho-INSIGHT Lab strives to deliver high-value, patient-centered orthopaedic care.
Our Research Focus
AI for Fracture Diagnosis & Imaging
We develop and validate deep learning models capable of identifying fracture features from X-ray imaging. Using multi-task machine learning and study-level modeling approaches, we aim to improve diagnostic consistency, generate high-quality treatment evidence, and build real-time assist tools for clinical use. Our work seeks to create a paradigm shift in how proximal humerus fractures are identified and managed.
Multimodal AI & EHR-Based Outcome Measurement
Supported by NIH funding, we are transforming how orthopaedic treatment success is defined and measured. By integrating structured healthcare utilization data with unstructured clinical text from EHR systems, we develop multimodal machine learning approaches that generate computable, scalable measures of treatment outcomes. This work redefines success in musculoskeletal care through real-world data.
Pain, Policy & Population-Level Outcomes
Through federally funded research, we evaluate how opioid prescribing policies impact older adults undergoing orthopaedic surgery. Our work examines both intended and unintended consequences of opioid cap laws, generating evidence to guide data-driven policy decisions that balance pain management with patient safety.