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While much of the current discussion on AI focuses on the technology alone, its integration into the workflow is an often overlooked but critical step that will determine its usefulness. This webinar seeks to remedy that by taking a clinician’s perspective on the implementation of AI into the clinical decision making workflow.
Evaluate use cases pertaining to population health that could benefit from AI and how it can enhance existing workflows.
- Explore common challenges clinicians encounter when integrating AI into their practice and discover effective strategies to address.
- Learn how an AI-enhanced workflow enabled an ACO with limited resources to reduce avoidable admissions by 4%.
Speaker: Danielle Bergman, MSN, APRN, FNP-BC, AVP, Clinical Development, Lightbeam Health Solutions
Danielle Bergman, MSN, APRN, FNP-BC, holds over 12 years of experience in nursing and clinical development and is passionate about improving patient outcomes and reducing healthcare costs through prescriptive analytics and AI. As AVP of Clinical Development at Lightbeam Health Solutions, she leads a team of clinicians and collaborates with data scientists and engineers to develop and validate AI solutions that address social determinants of health, transitional care, and improve health-associated outcomes through Lightbeam’s prescriptive AI solution. She is driven to empower healthcare organizations to prevent harm and lower costs, using the most advanced AI in the market.