Integration of EMR for Early Recognition of CS
Presenter
Courtney Bennett, DO, Mayo Clinic, Rochester, MN
Courtney Bennett, DO, Mayo Clinic, Rochester, MN
Learning Objectives:
- Examine the potential applications of machine learning algorithms in critical care phenotyping and risk stratification for patients with shock.
- Discuss the role of artificial intelligence (AI) in analyzing complex clinical datasets to identify patient subgroups, predict outcomes, and guide personalized treatment strategies.
- Evaluate the challenges and opportunities associated with implementing machine learning models in clinical practice to improve decision-making and patient care in shock management.
Keywords: Cardiogenic Shock