EPISODE · May 21, 2026 · 1H 1M
From Needle-in-a-Haystack to 95%: AI, Goals of Care, and Systemwide Change
from Leading Quality
Why This Episode MattersGoals-of-care conversations can profoundly shape serious illness care, but in many health systems they remain difficult to find, inconsistently documented, and hard to measure. In this episode, Matthew Gonzales and Deborah Unger describe how Providence treated serious illness communication as a systemwide quality problem, combining leadership commitment, clinician training, nursing engagement, informatics, and AI to make “what matters” conversations more visible and actionable across 51 hospitals.Key Ideas ExploredWhy goals-of-care documentation became a “conversation in the haystack” problem How Providence made serious illness communication a system priority, not a palliative care side project Why training physicians alone did not move the needle, and how nurses became critical to implementation The tension between standardized documentation and preserving the humanity of the conversation How AI helped identify meaningful goals-of-care conversations without relying on checkboxes or dot phrases Takeaways for Quality LeadersTreat important clinical conversations as part of system design, not just individual clinician skill. Build measurement only after defining what meaningful quality looks like in practice. Engage the disciplines closest to the workflow; nursing involvement may reveal implementation paths leaders miss. Avoid designing metrics that reward documentation behavior while missing the underlying clinical purpose. Look for AI use cases where language, workflow burden, and quality measurement intersect. Continue the ConversationDr. Gonzalez - Email: [email protected]. Unger - Email: [email protected]: @qoflmd.bsky.socialResources & Frameworks ReferencedProvidence Institute for Human CaringAriadne Labs Serious Illness Conversation GuideGuide Successful Strategies for Operationalizing Goals-Of-Care Documentation - NEJM CatalystFinding the Conversation in a Haystack: Leveraging AI to Detect Goals-Of-Care Documentation - Journal of Pain and Symptom ManagementLeading Quality is a podcast for healthcare leaders committed to improving systems, culture, and outcomes.If you found this episode valuable, follow the show, rate and review the podcast, or share it with a colleague working to improve care.Connect with Jason Meadows on LinkedIn for more insights on healthcare quality and leadership.Help us build this podcast community from the ground up: share your top insight from this episode and where you’re seeing it in your own work. I read every response and will share what we’re learning over time in future episodes and other ways.New episodes published every other Thursday at 7AM Eastern Time.Credits:Host, Writer, and Executive Producer Jason Meadows, MDProduced by Thrive Healthcare ImprovementEdited by Milan Milosavljevic
What this episode covers
Why This Episode Matters Goals-of-care conversations can profoundly shape serious illness care, but in many health systems they remain difficult to find, inconsistently documented, and hard to measure. In this episode, Matthew Gonzales and Deborah Unger describe how Providence treated serious illness communication as a systemwide quality problem, combining leadership commitment, clinician training, nursing engagement, informatics, and AI to make “what matters” conversations more visible and a...
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From Needle-in-a-Haystack to 95%: AI, Goals of Care, and Systemwide Change
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