Sanguine: Visual Analysis for Patient Blood Management

Patient blood management (PBM) involves optimizing anemia and hemostasis with the goal of avoiding unnecessary transfusions. It improves patient outcomes, reduces costs, and is considered standard of care. Sanguine is a novel, rapidly flexible data visualization tool for evaluation of PBM practices in meaningful clinical contexts.

Lecture Presenter
Ryan A. Metcalf, MD, CQA(ASQ)
Ryan A. Metcalf, MD, CQA(ASQ)
Assistant Professor, University of Utah School of Medicine
Medical Director: Transfusion Service/Blood Bank, ARUP Laboratories

Dr. Ryan A. Metcalf is a medical director of the Transfusion Service/Blood Bank and an assistant professor of pathology at the University of Utah School of Medicine. Dr. Metcalf graduated from the University of California Davis School of Medicine with a medical degree before completing an anatomic and clinical pathology residency at Stanford University School of Medicine. Dr. Metcalf has completed two fellowships at Stanford University, including a pathology fellowship and a transfusion medicine fellowship. Dr. Metcalf is board certified in blood bank/transfusion medicine and in clinical pathology. His research interests include patient blood management and data-driven quality management.

Objectives

After this presentation, participants will be able to:

List possible limitations of common patient blood management (PBM) performance metrics
Recognize how Creative Visualization Opportunities workshops can effectively glean end user perspectives and insights into PBM practices and gaps
Analyze Sanguine, a novel data visualization tool prototype for PBM in complex cardiothoracic surgery
Evaluate how Sanguine can rapidly demonstrate PBM modality performance in useful clinical contexts that include patient outcomes
Describe how Sanguine can generate “patients like mine” scenarios, where patients from the past can teach us about similar patients in the present and future