"When we were looking at AI, there are a lot of programs out there that were competitors to this, but they didn’t have the features we were looking for, or the ability to pay for itself. And Navina has listened to us." In a new interview with Mark Hagland of Healthcare Innovation , Dr. Benjamin Cook, chair of family medicine and population health at Jefferson City Medical Group, shares his hands-on experience using Navina's AI solution, which has saved valuable time for physicians and helped improve value-based outcomes. Dr. Cook's biggest lesson so far? "We should have done it a lot sooner!"  Read the full interview here: https://lnkd.in/evG9pPZE...

We’re thrilled to partner with Privia Health, a national leader in physician enablement, as they integrate Navina’s AI solution to enhance their value-based care efforts and reduce the burden on physicians. The results have been nothing short of transformative. With an impressive 87% weekly active usage rate, the results are making a real difference for Privia’s clinicians and patients alike. A big shout out to the entire Privia Health team for the privilege of serving a group of extraordinary physicians. Learn more about how our AI is helping Privia drive success in value-based care in our latest case study: https://lnkd.in/dc84M-Wj

There are plenty of reasons why closing care gaps can be an uphill battle. For starters, just identifying them can be a time-consuming, inefficient process. And there are three main reasons why closing those gaps is critical: your organization’s reputation, its financial future—and, first and foremost, your patients’ health. Luckily, cutting-edge artificial intelligence has become one main reason that identifying and closing care gaps doesn’t have to be difficult. That’s exactly what you’ll have the chance to hear about in our upcoming webinar, Level Up Your Stars: Innovative Approaches to Boosting Quality Performance,  co-hosted with RISE. Join us at 12:00 PM ET on Tuesday, September 17 to hear from: Dana McCalley, MBA, VP of Value-Based Care, Navina Dr. Michael Barr, President & Founder, MEDIS, LLC Dr. Yair Lewis, Chief Medical Officer, Navina They’ll share effective, data-driven approaches to proactively identifying and addressing care gaps, helping you ensure continuous improvement in patient care. If you join us, you’ll also learn how you can use AI-powered solutions that analyze thousands of patient health data points to close care gaps efficiently, automate workflows, and boost quality performance. Reserve your spot today: https://lnkd.in/dq6e3je7

"The way to get adoption is to be useful. If you're a platform that is only optimized for organizational needs, you'll probably get less adoption than a platform like Navina that was designed from the ground up to be clinically useful." In this fascinating new episode of the Healthcare Trailblazers Podcast, host Mendel Erlenwein conducted an in-depth conversation with Navina's Chief Medical Officer Dr. Yair Lewis on the state of AI in healthcare. This is a rare opportunity to hear about the thinking that informs the development of Navina's solution—and why it's valuable to the thousands of clinicians who've made it an indispensable part of their workflows. Watch the episode here: https://lnkd.in/dQvyQiPz

According to a comprehensive new report by McKinsey on the future of Medicare Advantage, payers must "mount a strategic, agile response" now in the face of major shifts to the program. The report's authors cite the need to adapt to regulatory changes to risk adjustment, Star ratings, and Part D, as well as the growing importance of securing 4+ Stars. If you're interested in learning more about the new regulatory landscape—and how the most innovative healthcare organizations are adapting—Navina has got you covered. Check out our resources in the comments to this post. You can read McKinsey's report here: https://lnkd.in/d4sWZqhP

Navigating patient records can be complex with health histories scattered across multiple platforms and unstructured data. From this fragmented chaos, clinicians and HCC coders face the thankless annual task of constructing a complete list of conditions for each and every patient. "Precision in Practice: Multi-Source Data Reconciliation for Risk Adjustment" explores how Navina's powerful AI turns fragmented multi-source data into comprehensive and coherent clinical recommendations at the point of care, dramatically improving risk adjustment accuracy. Download the white paper here: https://lnkd.in/dYktekTV

Did you know that 60% of documents in the electronic medical records come with improper identification, such as the wrong title? Or that one in four documents have the wrong date—or no date at all? Those are just two of the many significant gaps in basic document information that we’ve found in our research. In the best case, these gaps make it difficult for clinicians to find the data they’re looking for. But they can also lead to confusion when, for example, a colonoscopy record uploaded in 2023 describes a procedure done in 2012. Luckily, AI can help turn this chaos into clarity. Our white paper explores how our purpose-built models clean up messy documents, properly classify them, and extract the information clinicians need at the point of care. Read the white paper here: https://lnkd.in/dYKiX9dw