Agentic AI: The goal of this presentation is to discuss and define what agentic AI means, where we are seeing it and will be seeing it, and to discuss how agentic AI has become possible in recent years thanks to recent advancements. There's no doubt that AI is sweeping the world and Agentic AI will be a key factor in how companies will be able to remain relevant and continue to provide increasing value to their end users. By defining and visualizing agentic AI we will be taking the first few steps to being more prepared to approach these conversations in our day to day.

Agenda:

* Intro
* What is Agentic AI?
* How does it work?
* What technologies and platforms are used by developers and users
* Demo
* How does the demo work on the backend
* Opportunities and future landscape
* Challenges
* Q&A

STL AI Group

Bill Stanley

Patricia Johnson

Gary Mastin

Harshith S

Eric Mossotti

Saratchandra Golla

Sue Kennedy-Bruns

Larry

Chris O'Neill

Jonathan S

Gary Polinsky

John Fernau

Chris Dornfeld

zaid.elkhateeb

Shea Long

Craig Tatham

Purvag Patel

Jeff O

Bill L

Embracing Agentic AI: Navigating the Future of Intelligent Systems

Electronic medical record (EMR) vendors, such as Epic and Cerner, dominate the healthcare information technology landscape, yet their approach to integrating artificial intelligence (AI) is poised for significant shortcomings. This failure stems from fundamental misalignments between vendor incentives and the needs of the end user, i.e. the medical provider. Nevertheless, opportunities exist for healthcare institutions to bring AI capabilities in-house creating their own tools and bypassing the vendor entirely. This not only unlocks the full power of AI upon the electronic medical chart, but gives health care institutions powerful leverage against deeply entrenched vendors. This talk will explain why current EMR vendors will fail at useful AI deployment, and then proposes a mechanism to avoid this outcome with in-house AI capabilities grounded in the idea of institutional "prompt control".
**Brief Agenda:**

* Introduction: Landscape of current AI tools in medicine. The unique needs of inpatient vs outpatient environments.
* EMR Vendor Challenges: How misaligned incentives lead to suboptimal AI deployment.
* Prompt Control: Reclaiming AI capabilities with in-house prompt engineering.
* Technical Blueprint: Deploying open-source AI in secure, clinician-centric systems.
* Q&A: Exploring benefits, challenges, addressing common objections

Jay Patel

asha somayajula

Jill Shewmake

Michelle Marcus

Atif

Vince Toon

Chris Greer

Jonathan Gassner

Why Electronic Medical Record Vendors Will Fail at AI (and what to do about it) 

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