Is AI ready for integration into clinical workflows? Even with the best data available, operationalizing new tools, changing provider patterns and shifts in clinical workflow come with challenges. Digital twinning, for example, is a new method of clinical informatics in practice. Applying predictive models as flags for high-risk patients is new to many, and requires practitioner buy-in to be successful. 
In this session, the speakers will discuss how an interdisciplinary team collaborated to implement an AI-driven approach to address post-discharge mortality.
The presentation will cover three phases of the program:

1. Problem diagnosis using unique digital twinning methodology.
2. Implementation of an AI-powered solution.
3. Integration of the AI solution into clinical workflows, leading to better patient outcomes and easier workflows for clinicians.

The team will share lessons learned in moving from analytics to operations and standardizing risk assessment processes throughout the patient's medical journey.
You Will Learn:

• The challenges and solutions for integrating AI into clinical workflows.
• The concept and application of digital twinning in clinical informatics.
• How predictive models can be used to flag high-risk patients.
• The three-phase approach to implementing an AI-driven solution.
• Lessons learned from the interdisciplinary team's experience.
• How to move from analytics to standardized risk assessment processes in patient care.