Transforming Healthcare Payer Industry with Generative AI Retrieval Engine

How is AI reshaping the way payers review charts? Get the latest on AI abstraction for smarter, faster chart reviews. Now payers can tap into HIPAA-compliant, AI-powered technology to process a huge volume of data and rapidly extract clinical insights, even mapping findings to: ✅ Care gaps ✅ Risk adjustment codes ✅ Quality measures Accuracy and speed should be a top priority for every payer. Stay up to date on how AI is evolving to meet the needs of abstractors. 🔗 https://bit.ly/45UjSNd #HealthcareAI #ChartReview #RiskAdjustment #CareGaps

We talk a lot about how AI will “save time” in healthcare. But maybe that’s not the right question anymore. Sure, automation helps with scheduling, notes, and paperwork. That’s valuable. But the AI systems now entering hospitals and clinics are doing something different — they’re interpreting, predicting, even prompting us to rethink decisions. And that takes time. What if the real value of AI isn’t speed, but pause? Not faster decisions, but smarter ones? If an AI alert makes you stop, reevaluate a diagnosis, or catch something early — is that a delay, or is that better medicine? This isn’t just about tools. It’s about how we define value in clinical care. So here’s the question we’re asking this week: Is time still the most important metric for judging AI in healthcare — or is it time we updated our thinking? What do you think?

Doctor vs Data AI in healthcare isn’t “coming.” It’s already here. It knows patterns across millions of cases. It spots what even the sharpest eyes might miss. But here’s the catch: When AI says one thing and your doctor says another, WHO DO YOU TRUST? A doctor brings experience, intuition, and empathy. AI brings scale, speed, and global insight. One speaks from intuition. The other from information. And that’s the dilemma patients are about to face. In the end, trust might not lie in choosing one over the other, it might lie in how they work together.

Oracle Health and Epic are in the race to see who can make the biggest impact—breaking down silos across clinical, financial, and supply chain. The prize isn’t just market share. It’s transforming how healthcare delivers care, manages costs, and builds resilient operations. And AI will be the accelerator. Looking forward to Seema Verma 's insights at #OHLSSummit on how embedded AI is driving this competition—and the transformation it promises. Thanks Greg Aaron for sharing.

Medical insights are only valuable if they’re acted on. That’s why BridgeBio didn’t just improve how insights were gathered; they made sure those insights reached the right teams. With AI summaries and regular reporting, the entire organization stays aligned and responsive. 📊 Read this article and find out how a smarter process led them to stronger outcomes. https://bit.ly/3Vse1Zn

The healthcare industry is navigating a fundamental shift as AI and GenAI move from experimental to essential. It’s in how we work, decide and care. 🩺 In this article, Sandesh Prabhu, MD, MBA lays out what it truly takes to move from AI potential to AI impact in healthcare. 🤖 They explore three foundational shifts shaping healthcare’s AI journey: 📕Building AI literacy across the workforce ⚙️Modernizing fragmented data systems 👥Forging partnerships that drive innovation with accountability Explore how HCLTech is helping healthcare reimagine what's possible: https://lnkd.in/gYkmVu92 #HCLTech #AIinHealthcare #DigitalHealth #GenAI #SuperchargingProgress

AI is transforming healthcare—moving from experiments to essentials. 🚀 Key to success Build AI literacy across the workforce Modernize data systems Forge accountable partnerships Explore how we’re reimagining healthcare with #AI and #GenAI at HCLTech. #DigitalHealth #SuperchargingProgre

AI is changing how healthcare choices are made, and we are part of that change. Our views are included in the latest MIT Sloan Management Review and TCS reports about Intelligent Choice Architectures. These reports look at how AI can help make trustworthy, quicker, and more effective decisions in life sciences. By joining this global conversation, we are showing our commitment to using AI responsibly, which could change patient care and innovation in healthcare. Check out the full reports here: http://spkl.io/6043Au0K1 #AI #HealthcareInnovation #Neversettle

Gain actionable insights in our free on-demand webinar, and explore the potential of AI to elevate—not replace—clinical expertise. Key takeaways include: 🧠 What to ask about AI validation: testing protocols, expert input and data sources ✅ How to assess readiness and fit for AI-enabled decision support tools 🚀 Ways to deploy AI that elevate clinical expertise, not replace it ▶️ Register here 👉 https://hubs.la/Q03zLfMB0 #AIinHealthcare #AIinClinicalPractice #ClinicalDecisionSupport #Micromedex

For those holding their breath.. here is how we're tackling OCR differently at Alaffia Health: Instead of just converting scanned PDFs into text, we use advanced AI that “sees” and “reads” documents at the same time. Here’s how it works in simple terms: 1). Smart tagging ➡️ Our AI scans thousands of pages and tags only the ones with the information you actually need (e.g., lab results or discharge notes). 2). Focused extraction ➡️ A second AI zooms in on those pages to pull out the exact data points. 3). Fact agents ➡️ Specialized AI agents extract critical facts tailored to your workflows like diagnoses, lab values, medications, treatment plans, and even social determinants of health (!!!🫨). This layered approach makes large-scale medical record reviews faster, more accurate, and highly configurable for any claim or clinical decision-making process. When it comes to complex healthcare data, AI shouldn’t just “read” documents, it should understand them! 🔁