Instructor Biography

Jamie McGlothlin

Jamie McGlothlin

Director, Healthcare Analytics
Instructor's Course List

About The Instructor

Jamie provides health care analytics for health systems to drive performance improvement in clinical quality, patient safety, operational efficiency, and cost reduction. Jamie has a Ph.D. in computer science specializing in big data analytics, information retrieval, cloud computing, and machine learning. Jamie began his career with 20 years of experience in software development and has been dedicated to health care analytics for the last ten years.

Jamie has led over 30 successful health care projects generating millions of dollars of return on investment for major academic and community health systems. These projects include:

  • Outcomes and opportunities analysis including length of stay, readmissions, mortality, patient experience, discharge planning, and efficiency
  • Cost analysis projects including medication costs, lab costs, imaging costs, and supply chain analysis
  •  Disease-specific clinical improvement pathways including sepsis, heart failure, acute coronary syndrome, asthma, bronchitis, colorectal surgery, hip replacement surgery, pneumonia, stroke, sickle cell anemia, NICU vent weaning, preeclampsia and COVID-19
  • OR and procedural area efficiency and optimization including block and room utilization
  • Analytics for occupancy, patient flow, discharge planning, and patient delay analytics
  • Utilization and clinical variation analysis including imaging, labs, diagnostics, antimicrobial therapy, and blood product utilization
  • Medication analytics including vancomycin patient safety, opioid utilization, and pain management
  • Ambulatory scheduling efficiency and utilization of both resources and providers
  • Population health gaps of care and clinical management of chronic diseases including chronic obstructive pulmonary disease (COPD), asthma, coronary artery disease (CAD), and diabetes
  • Analytics for accountable care organizations, payors, and clinical integrated networks
  • Analytics to study and reduce hospital-acquired infections, surgical site infections, thrombosis, embolisms, and other complications