AI in Triage: How Emergency Nurses Harnessed the Power of EHR Data to Improve Decision-Making
Chris Chmura, MSN RN at Yale New Haven Hospital speaks about his experience implementing TriageGO at three of their EDs. He will cover:
- The operational journey of implementing a new methodology of triage
- The standardization and redistribution of patients across acuity levels
- Improved patient outcomes
- Empowering the nurses to make the best decisions at triage, and improving nurse-to-provider communication
SPEAKERS
Chris Chmura
Manager Clinical Projects & Education Emergency Services
Yale New Haven Hospital
Chris Chmura is the Manager of Clinical Projects & Education for Emergency Services at Yale New Haven Hospital located in New Haven, Connecticut. Chris has over 16 years’ experience as an emergency nurse including staff, education, process improvement, and other leadership roles with additional expertise in prehospital care prior to nursing. His professional interests include professional development, interdisciplinary training, resuscitation science, as well as use of technology, data, and analytics to advocate, advance, and standardize care within emergency nursing.
WEBINAR PARTNER
Beckman Coulter has been a global leader in advanced diagnostics for almost 100 years, and with the dawn of software as a diagnostic tool, we are still leading the way. Beckman Coulter has made sizeable commitment to the development of machine learning and artificial intelligence as it applies to diagnostics with the establishment of our new Clinical Decision Support Platform.