Anesthesia Patient Safety
Patient safety is the highest priority in the practice of anesthesiology. As part of our ongoing work towards improving patient safety, we focus on innovation in technology development as a key component to reinforcing patient safety and promoting favorable patient outcomes.
Gavia Labs
The investigators in Gavia Labs are particularly interested in the application of computerization, technology and novel medical devices for improvement of anesthesia patient safety. Their work includes central venous catheterization safety, drug administration safety, simulation training, computerization of perioperative checklists, computerized decision support, safety applications of computer vision and artificial intelligence, neuromuscular blockade monitoring, and anesthesia infection control measures.
Device development
Kelly Michaelsen, MD, PhD
Dr. Michaelsen uses machine learning and computer vision to detect syringes and identify their contents.
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Our people
- Andrew Bowdle, MD, PhD, FASE, Professor, Anesthesiology & Pain Medicine, Adjunct Professor, Pharmaceutics, Laura Cheney Professor in Anesthesia Patient Safety
- Srdjan Jelacic, MD, FASE, Associate Professor, Anesthesiology & Pain Medicine
- Kelly Michaelsen, MD, PhD, Assistant Professor, Anesthesiology & Pain Medicine