Sanjeev Agrawal, MS, President, Leantaas
AI is not a trend; it's a strategic enabler for transformation. To combat economic headwinds and generate the most value from disruptive technology, health systems must marry AI with automated workflows, normalized data, and change management expertise to navigate through disruption towards ROI. Long term success also depends upon building a culture that supports ambitious innovation through a commitment to operational excellence, workforce development, and process improvement. When this foundation is applied, AI-based solutions, including predictive and prescriptive analytics and now generative AI, can empower and influence all levels of care — operationally and clinically — and drive remarkable outcomes throughout the entire system.
Join Dr. Irene Louh, Vice President of Data Intelligence & Decision Science at Jacksonville, Fla.-based Baptist Health, and Sanjeev Agrawal, President and Chief Operating Officer at LeanTaaS, as they share how to successfully implement disruptive AI technology across the enterprise. Hear compelling case studies on OR and infusion center innovation that deliver meaningful top line growth. Discover invaluable insights, best practices, and outcomes, including an impressive 45% increase in robotic case minutes and a 16% increase in prime time utilization. These achievements translate into increased revenue, decreased burnout, and improved patient care — emboldening Baptist Health to become a risk-immune health system and leading healthcare innovator.
Learning Objectives
- Learn about best practices to help your organization unlock value from AI-based technology, including strategies for implementation and adoption to drive ROI, visibility, and action.
- Understand the limitations of current workflows, why they fall short, and how C-suite leaders can lead the AI revolution.
- Gain insights into how generative AI can help your organization reduce staff burnout by providing hospital leaders with human-like conversations and actionable insights that support decision-making.
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