MD Live by Evernorth

AI is shaping how care begins, often before a provider is involved. That shift creates opportunity, but it also introduces real clinical risk when triage happens outside a governed care pathway. Join MD Live by Evernorth and Becker’s on May 21 at 1:00 PM CT for a live discussion on: • AI as the new digital front door to care • When guidance becomes triage—and why it requires clinical oversight • Designing escalation pathways and accountability from the start Save your spot: https://lnkd.in/edV-qTci

AI is quickly becoming the front door to care. But what happens when AI provides answers before clinical judgment is involved? As more consumers turn to AI for health guidance, leaders are facing new questions around safety, escalation, and trust. Join MD Live by Evernorth on May 21 at 1:00 PM CT for a live webinar where we’ll explore: • How AI is changing the way patients enter the care journey • Why human‑led insight is a safety feature, not a constraint • What payers and healthcare organizations should be thinking about now Reserve your spot here: https://lnkd.in/edV-qTci

At Outcomes by Evernorth this week, hearing Dr. Geeta Nayyar, MD, MBA speak about trust, patients, and the limits of AI stayed with me as I reflected on where these tools support the patient-provider relationship, and where they can quietly create risk. I’m a big believer in AI and its potential to be a positive force in healthcare. It can make care easier to navigate, and it can help people feel more in control when they are worried and looking for answers. But more information doesn’t always mean the right next step. When we talk about risk, we usually focus on misinformation, but the quieter risk is confidence. In healthcare, AI does not have to be wildly wrong to cause harm. It just has to sound convincing. These tools are designed to be clear, calm, and coherent. That tone carries a lot of weight when someone is trying to interpret symptoms or decide what to do next. Most people aren’t scrutinizing answers in that moment. Instead, they’re trying to make sense of how they feel and find direction. And when the guidance sounds reassuring, it can create false confidence, especially in more complex or ambiguous situations. A recent Mount Sinai study echoes this concern, where researchers found that more than half of cases reviewed by AI were under-triaged and should have prompted emergency care. The real issue isn’t just whether an AI answer sounds right, but what it leads to next. Does it delay care? Does it send someone down the wrong path? Does it create a sense of certainty at the moment escalation is needed? AI has an important role to play. It can make healthcare easier to navigate and easier to understand. But in clinically sensitive moments, AI works best when it's scaling clinical judgement, not replacing it. #AIinHealthcare #virtualcare #digitalhealth #clinicalquality #healthcareinnovation

Care is starting earlier than ever—often with an AI prompt, not a clinician. What does that mean for patient safety? That was the main question being discussed during a session at the recent Becker's Payers Spring Roundtable with MD Live by Evernorth Chief Strategy and Partnerships Officer, Rachel French. The discussion explored what happens when AI functionally acts as triage, the risks of guidance that's confidently wrong, and why clinical guardrails are essential to protecting member safety. Explore the full recap linked in the comments below.

One thing that stayed with me from the conversation with payer leaders at Millennium Alliance was just how present this moment already is. AI has quietly become the starting point for many care decisions.   And when AI shapes how urgent something feels, or what someone does next, that begs questions for every payer in the room: What does this mean for patient safety?   AI has genuine opportunity to transform how people experience care for the better. And that’s exactly why it deserves the same thoughtfulness, oversight, and accountability that members find in every other part of the care journey.

As consumers increasingly turn to large language models as their first stop for health questions, the digital front door is changing rapidly. That shift anchored a recent workshop at the Millennium Alliance Healthcare Payers Transformation Assembly, where Rachel Rhodes, MPH, Head of New Product Development, AI, and Provider Experience at MD Live by Evernorth, joined payer leaders to discuss what it means when AI enters the picture before a plan, provider, or nurse ever does. The key takeaway: When AI influences care decisions, it becomes a clinical function and needs the same accountability and guardrails as any other part of the care journey.

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Spring allergies can disrupt members' daily lives. In this article, MD Live by Evernorth physicians share simple ways to reduce symptoms and manage flare-ups early, including: • Checking local pollen forecasts • Limiting exposure during peak times • Improving indoor air quality Share our spring allergies guide with your members: https://lnkd.in/gm3PC-Pt

There’s a quiet shift happening in healthcare, and it’s happening before a patient ever talks to a doctor – millions of times a day. AI is no longer just supporting care. It’s becoming the new digital front door. For many patients, the care journey now starts with a question – and more often than not, that question is being answered by AI. In fact, a KFF study released this week found about 1 in 3 adults turn to AI chatbots for physical or mental health advice: rivaling social media as an information source. That means AI is already shaping decisions for patients about where they go and what they do next, before a clinician is ever involved. That’s worth paying closer attention to. Not because AI isn’t a net positive for healthcare. It is. It has real potential to simplify complexity and help people navigate care more easily. But it also introduces a different kind of risk – overly confident answers to nuanced questions in moments where clinical judgment matters most. We’re beginning to see how this plays out: situations where serious conditions are under-triaged. Others where patients are directed to higher levels of care than necessary. Guidance that works well in straightforward cases, but becomes less reliable in more complex, real-world scenarios. The conversation can’t just be about where AI should play a role in care. It already does. The more important question is what happens next. Where should AI guide and where should it step aside? How do we ensure there is a clear and clinically sound path from digital interaction to provider-led care? Because in healthcare, good AI isn’t defined by how much it can handle independently. It’s defined by how well it supports the right decisions at the right time. The future isn’t AI or clinicians. It’s both – working together with clear guardrails, thoughtful escalation, and accountability built into how care begins. As organizations continue to invest in new technology, the opportunity isn’t just improving access. It’s designing a safer, more consistent path to care. That’s where trust is built – and where the next phase of healthcare will be defined. #AIinHealthcare #virtualcare #digitalhealth #clinicalquality #healthcareinnovation

Don't miss this upcoming Doc Talk with MD Live Senior Medical Director Maggie Williams!