Navina

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

In value-based healthcare, effectively closing care gaps and meeting quality performance standards are essential, because of how they significantly enhance patient outcomes and bolster organizational revenue. But that can also be a major challenge for clinicians and coders who are already stretched thin and have to contend with massive amounts of patient data. The result? Care gaps slip through the cracks and remain unresolved. That’s why we're teaming up with RISE for a special webinar, Level Up Your Stars: Innovative Approaches to Boosting Quality Performance, featuring success stories from organizations that have deployed innovative AI technology. It’s coming up at 12:00 PM ET on Tuesday, September 17. You’ll hear from: Dana McCalley, MBA, VP of Value-Based Care, Navina Michael Barr, MD, President & Founder, MEDIS, LLC Dr. Ronen Gordon MBBS BSc, VP of Medical Product, Navina They’ll share the effective, data-driven strategies and cutting-edge tools you need to close gaps,  automate workflows, and transform quality performance. Sign up today: https://lnkd.in/dq6e3je7

Closing care gaps and meeting quality metrics are critical goals for any value-based organization, but they require onerous work from already overburdened clinicians and coding teams. Luckily, the emergence of innovative new solutions can significantly ease this burden. Sign up for our webinar with RISE on September 17 to learn how.

One of the key challenges facing healthcare providers and health plans is the need to navigate a changing regulatory landscape. The latest such developments are the transition from the V24 to V28 HCC risk adjustment model, and the Inflation Reduction Act of 2022 (IRA). For those in the value-based care space, understanding these changes and adapting accordingly is crucial. Our new blog post features key takeaways from our recent webinar with RISE Health, breaking down the implications of these major developments, and offering strategies for staying resilient and successful in the face of change. Read the post here: https://lnkd.in/emtwchsH

In his article for HealthLeaders, Michael Barr, MD, MBA, MACP, FRCP, the founder and president of MEDIS and former executive vice president of the National Committee for Quality Assurance, examines the crisis now facing primary care, and explores how artificial intelligence can help fight it by augmenting and enhancing the work of clinical teams. Read the article for a fascinating look at the state of primary care today and how innovative AI solutions like Navina can make a difference.

In response to a recent poll conducted by our VP of Value-Based Care, Dana McCalley, MBA, two-thirds of respondents said they planned on doing RxHCC (prescription drug hierarchical condition categories) risk adjustment coding in 2025. But why is RxHCC important and how can organizations ensure they’re coding accurately? As part of the Inflation Reduction Act (IRA) prescription drug benefit redesign, health plans will be encumbered with significantly higher liabilities than before. Plans will seek to offset some of these headwinds by better representing patient health status and risk profile through RxHCC coding, which has been recalibrated to better account to the changes in the IRA. With accurate risk coding more important than ever to both payers and providers, Navina has introduced robust support for RxHCC risk adjustment coding. To get you started, we've published a short guide to these recent developments—and how to prepare for them today. Download the guide: https://lnkd.in/d537TKZA

“There’s a large—and largely untapped—opportunity to better support patients when we understand their needs holistically. Social determinants of health (SDoH) are an important part of that effort.” In her latest contribution to Healthcare IT Today, Dana McCalley, MBA, Navina’s VP of Value-Based Care, looks at how providers and payers can cooperate to gain visibility into SDoH needs within member populations, and develop targeted offerings that will result in better care. Read the full article here: https://lnkd.in/d6spHVHf

“AI in healthcare is about more than just efficiency — it’s about allowing physicians to give far more personalized and clinically-informed care to their patients, and to anticipate patient issues before they become acute.” Navina CEO, Ronen Lavi, shared his optimistic forecast for AI in healthcare with Lisa Chau at Forbes, explaining why its impact will be profound. To find out why—and to learn how AI will transform other sectors like retail and education—check out the full article here: https://lnkd.in/eqM3CQQA