AI is a smart play for value-based care. But embedding AI directly into VBC clinical workflows? That’s a gamechanger. I like how this article, Securing a Competitive Edge in Value-Based Care with AI, from Navina breaks down 8 real-world strategies for thriving in value-based care. They share key insights from industry leaders on how to use AI to: • Decode contract details like attribution and risk adjustment • Prioritize high-impact initiatives that actually move the needle • Use smarter risk prediction to keep patients healthier (and costs lower) See how organizations are embedding AI directly into clinical workflows—no extra clicks—to save hours each week, reduce burnout, and boost quality scores. Jefferson City Medical Group saw real results using these methods: faster chart prep, less clinician burnout, and a boost in colorectal cancer screening performance. If you want to see what applied AI in value-based care really looks like, read the article: https://lnkd.in/gG_RbvUy
AI is a natural fit for the population-level number crunching and risk stratification in VBC, and it’s easy to hand off to the back office as “a shiny new tool” for adoption. But at the frontline where the real value is created, not just calculated, clinician adoption is only possible when it’s seamlessly embedded into normal clinical workflows. Aledade, Inc. paved the way and showed what this looks like, but as Epic reminded us this week by upending the entire AI scribe space in boxing out every upstart in the space, meaningful change ultimately must pass through the overlords of our lovely healthcare system first, who demonstrably don't have a great track record of sharing or getting along with each other.
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1moIt all starts and ends with clinical value. ⛑️💯 Big fan of Navina at the bedside. 🏬