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Gary Alan Bass, MD, MSc, MBA, PhD, FEBS (Em Surg)

Assistant Professor of Surgery

Gary A. Bass, MD, MSc, MBA, PhD, FEBS (Em Surg) is a trauma and emergency surgeon, and intensivist with a focus on global surgery, implementation science, and data-driven quality improvement in acute care surgery and surgical critical care. He is an Assistant Professor of Surgery at the University of Pennsylvania’s Perelman School of Medicine and a Senior Scholar at the Center for Perioperative Outcomes Research and Transformation (CPORT).

Dr. Bass is internationally-recognized for his leadership in large-scale, multinational observational research in emergency general surgery, serving as Principal Investigator for the ESTES SnapSBO study, a time-bound prospective cohort study on small bowel obstruction management across Europe. His work bridges epidemiology, health services research, and surgical outcomes, integrating real-world clinical data with advanced statistical methodologies to identify practice variations, optimize surgical decision-making, and improve patient outcomes.

He is particularly interested in causal inference methods in surgical epidemiology, with a focus on instrumental variable analysis, latent class modeling, and target trial emulation to evaluate the effectiveness of non-operative strategies in emergency surgery. As Chair of the ESTES Research Committee, he has spearheaded snapshot audit methodologies that generate high-impact, collaborative research across multiple healthcare systems.

Dr. Bass’s work is supported by a strong foundation in health economics, biostatistics, and implementation science, and he actively collaborates with multidisciplinary teams to translate evidence into practice in both high-resource and resource-limited settings.

Content Area Specialties

  • Emergency General Surgery & Trauma Surgery
  • Global surgical epidemiology, practice pattern analysis, and outcomes research in emergency surgery
  • Time-sensitive decision-making and optimization of non-operative management strategies
  • Trauma and emergency surgery systems development in high- and low-resource settings
  • Surgical Critical Care & Perioperative Medicine
  • Intensive care outcomes in trauma and emergency surgery patients
  • Integration of implementation science into critical care pathways
  • Quality improvement and process optimization in perioperative and ICU settings
  • Health Services Research & Data-Driven Quality Improvement
  • Large-scale multinational observational cohort studies in emergency surgery
  • Application of causal inference and advanced biostatistics to surgical outcomes research
  • Real-world evidence generation through pragmatic clinical studies
  • Implementation Science & Health Policy
  • Closing the evidence-to-practice gap in emergency surgery and surgical ICU care
  • Development of patient-reported outcome measures (PROMs) in surgical recovery
  • Translation of surgical research into policy-level change

Methods Specialties

  • Causal Inference & Observational Data Analysis
  • Instrumental variable (IV) analysis, inverse probability weighting (IPTW), and propensity score methods
  • Target trial emulation in surgical decision-making
  • G-computation, marginal structural models (MSMs), and hierarchical modeling for multi-center data
  • Multinational Cohort Study Design & Biostatistics
  • Snapshot audit methodology in emergency surgery research
  • Multicenter data harmonization and real-world evidence synthesis
  • Bayesian and frequentist approaches to risk stratification and clinical prediction
  • Implementation Science & Health Economics
  • Frameworks for scaling evidence-based practices in surgical and critical care settings
  • Cost-effectiveness analyses of surgical interventions and ICU care pathways
  • Stakeholder engagement and mixed-methods evaluation of clinical interventions
  • Geospatial & Network Analysis in Emergency Surgery
  • Use of ArcGIS for mapping disparities in trauma and emergency surgery access
  • Network modeling of international surgical collaboration and research impact