DSS WEBINARS

Healthcare systems, payers, and medical societies invest massive effort to maintain evidence-based clinical guidelines for a variety of conditions. However, when patients are in the hospital, often clinicians just don’t have the time to research or read these guidelines, leading to major gaps in how consistently they are applied. Recent advances in Medical AI can shortcut this problem by automatically reading the full history of a given patient, finding the most recent and relevant guideline for their clinical history, and presenting it in context. This session will walk through a solution architecture for an end-to-end solution that does this, using a state-of-the-art healthcare-specific LLM, that can be deployed locally within an organization’s security perimeter to ensure privacy, compliance, and the ability to read organization-specific guideline documents. We’ll also show how to handle formatting of clinical guideline documents that are challenging to general-purpose LLMs like flowcharts, decision trees, and visual decision tables.

Dive deep into the intricacies of LLM-based applications with this upcoming webinar. Join our expert speakers, who have spent the majority of the last three years analyzing and addressing failure modes in LLM systems across various industries. This session will guide you through detecting, blocking, and remedying the most common yet critical errors that undermine the reliability of AI applications.

Key Takeaways:
– Learn about the frequent and critical blunders in LLM outputs that could be affecting your systems.
– Discover cutting-edge techniques for identifying subtle yet significant errors that standard methods often miss.
– Explore automated strategies for effectively correcting detected errors, enhancing system resilience.
– Understand how to deploy LLM judges for ongoing monitoring and evaluation of AI outputs.

This webinar is tailored for a highly technical audience aiming to refine their approach to managing and optimizing LLM-based systems.