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Welcome to the
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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, and 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 & Characterization
We are currently developing and validating a deep learning model capable of identifying 8 proximal humerus fracture features from X-ray imaging. Using multi-task machine learning and study-level modeling approaches, we aim to improve diagnostic accuracy, generate high-quality treatment evidence, and build real-time AI-augmented diagnostic tools for clinical use. This work is support through NIH and NSF awards.
Multimodal AI & EHR-Based Outcome Measurement
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 are developing multimodal machine learning approaches that generate computable, scalable measures of treatment outcomes. This work redefines outcome measurement in musculoskeletal care using real-world data.
Pain, Policy & Population-Level Outcomes
We have ongoing projects to evaluate how opioid discharge prescribing policies impact older adults undergoing orthopaedic trauma surgery. Our work examines both intended and unintended consequences of opioid prescribing, generating evidence to guide data-driven policy decisions that balance pain management with patient safety.