2022 Stronger - PH351 - AI and Collaborative Workflows Predict and Prevent Clinical Deterioration - On Demand
While artificial intelligence (AI) has demonstrated accuracy in predicting inpatient clinical deterioration, few examples exist of successful implementations in real-world settings that improve outcomes. We implemented a multidisciplinary, AI-enabled system at an academic medical center comprised of three components: (1) a machine learning model that predicts clinical deterioration; (2) a physician and bedside nurse alert system, driven by model predictions, that is sent to both the electronic health record and a mobile communication app; and (3) a multidisciplinary workflow that includes a physician and nursing team huddle, guided by a standard checklist to align the plan of care.
- Other Healthcare Professionals
- Discuss how machine learning can drive workflows in hospital settings.
- Apply design principles for electronic health record applications and multidisciplinary workflows to enable key drivers for an improvement project.
- Describe a collaborative approach leveraging artificial intelligence to improve patient outcomes and safety culture.
Lisa Shieh, MD, PhD, Associate Chief Quality Officer, Stanford Health Care, Palo Alto, CA
Margaret Smith, MBA, Director of Operations, Stanford School of Medicine, Redwood City, CA
Jerri Westphal, MSN, RN, RN-BC, Manager of Nursing Informatics, EHR Optimization and Reporting, Stanford Health Care, Palo Alto, CA
Vizient, Inc. designates this enduring material for a maximum of 0.50 ANCC contacts hours.
Vizient, Inc. designates this enduring material for a maximum of 0.50 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Other Healthcare Professionals (General CE Credit)
Vizient, Inc. will award a maximum of 0.50 contact hours to all other healthcare professionals who successfully complete the activity. These individuals will receive a Certificate of Participation indicating the maximum credits available.
Many state licensing boards and credentialing bodies accept certificates of participation from accredited CE activities to meet CE requirements for license renewals and re-certification. It is the responsibility of the participant to contact their state licensing board and/or certifying body for verification on credit eligibility reciprocity.
- 0.50 AMA PRA Category 1 Credit™
- 0.50 ANCC
- 0.50 General CE – Attendance