Support clinical decision-making with AI applications

Data-driven, actionable insights can improve care delivery, as well as patient outcomes and experiences. But clinicians and care teams need analytics tools that can deliver these insights and alerts when they’re needed. In this podcast, Anna E. Schoenbaum, Vice President of Applications and Digital Health at Penn Medicine, talks about how Penn Medicine is using artificial intelligence (AI) algorithms and predictive analytics to provide evidence-based clinical decision support (CDS) so clinicians can make more informed decisions at the point and time of care.

Learn more about:

• Integrating AI tools alongside existing decision-support solutions
• Using a collaborative, multi-departmental approach to design and optimize clinical workflows
• Establishing a strong governance framework to ensure that AI tools are used responsibly and are HIPAA compliant

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