How data governance can unlock AI in healthcare: Kevin Deutsch

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

Healthcare organizations face a challenge in moving AI beyond isolated pilots and single-point solutions. But by implementing system-wide integration, it can allow AI to deliver its full value. In our latest blog, we outline a framework for building an enterprise AI ecosystem that drives meaningful outcomes across the health system. Read the full blog for a roadmap to enterprise AI. https://brnw.ch/21wVzah #HealthIT #ClinicalAI

Embracing AI: A Game Changer for Healthcare Providers! At first, Shayla C. Higginbotham, BSPH, MHA, PMP resisted AI, but now she’s all in—and it’s transforming how they deliver insights to healthcare leaders. From building local partnerships to platform research, AI can supercharge your small business too. Are you using AI in your business? Tell us how or ask a question to learn more! #HealthTech #AIForBusiness 🎧 Listen to the full episode here: https://lnkd.in/esw4Rpsq

🚨 New Blog Alert! 🚨 From Benchmarks to the Real World: Why Healthcare AI Needs Real-World Data AI models often shine on clean benchmarks but struggle when faced with the real-world challenges of healthcare. Our latest blog unpacks why real-world data is the key to building safe, reliable, and impactful healthcare AI. Read the full blog here: https://bit.ly/mDoc\_AI To stay updated on our latest blogs: 1. Go to www.mymdoc.com 2. Go to the Resources section in the header 3. From the drop-down, click on Blog 4. You’ll find all our latest blogs ready for you to read Let’s keep learning and live healthier, happier, and AI-driven. #mDoc #news #blogpost #AIinhealthcare #AIforGood

Rolling out AI across your health system? Step two: get your data house in order. Without clean, accessible, and standardized data, even the most advanced AI can’t deliver meaningful results. As our CTO, Chris Gervais, says: "AI won’t magically fix your messy processes. If workflows are broken or siloed, AI will only amplify those inefficiencies." Ask yourself: 👉 Are your data sources standardized across the organization? 👉 Is the information easily accessible to the teams that need it? 👉 Can you use it in real-time to make decisions that matter? The bottom line? AI succeeds when it’s built on clean, connected, and actionable data. ➡️ Learn more about building AI-ready health systems in our latest blog: https://hubs.la/Q03HtNlx0 #CodaMetrix #CodeForBetter #HealthcareInnovation #AIinHealthcare #DataStrategy

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?

We’ve all used AI to draft emails or plan dinner. But in healthcare, the stakes are higher.    Aya Ideas Retreat keynote speaker Sarah Branfman will take on the unknowns of AI in care delivery. She'll share how to take AI from a promising concept to measurable outcomes with the right tools, invested teams and solutions designed to last. 

Today DistillerSR launched the industry’s first Agentic AI capability for literature reviews to help life science organizations eliminate evidence silos and dramatically accelerate time to market. How is DistillerSR’s Agentic AI Different? 1️⃣ Unlike standalone large language models, our Agentic AI is grounded in validated, expertly curated, peer-reviewed literature evidence.  2️⃣ Every insight, summary, and report is accurate, reproducible, and fully traceable—exactly what's needed for regulatory submissions, health technology assessments, market access, scientific communications, and clinical decision-making. 3️⃣ Research and commercial teams can access a single, trusted source of truth, enabling faster, more reliable decisions across the entire organization. 4️⃣ Non-DistillerSR users can be granted access to extracted data inside DistillerSR projects to generate their own summaries, reports, and insights. Read the full press release to learn how we're transforming evidence management: https://bit.ly/3Kq6Tug and join us on September 23 for a live webinar where our team of experts will demonstrate best practices for using Agentic AI to enable more agile decision-making, rapidly scale report generation, and achieve faster time to market: https://bit.ly/42ivdnY #LifeSciences #Pharma #MedTech #AI #EvidenceManagement #RegulatoryAffairs #HEOR #ClinicalResearch #Innovation

🔍 AI is redefining how healthcare decisions are made —and we’re helping shape that future. Our perspective is featured in the latest MIT Sloan Management Review and TCS reports on Intelligent Choice Architectures, exploring how AI can unable trusted, faster, and more impactful decision-making in life sciences. By contributing to this global dialogue, we’re advancing our commitment to harness AI responsibility – with a potential to redefine patient care and innovation across healthcare. Explore the full reports here: http://spkl.io/6043Au0K1 #AI #HealthcareInnovation #Neversettle

“Every AI use case starts as a governance problem and succeeds through cultural transformation.” Emmanuel Frenehard, CDO Sanofi. Intersting read with the MIT Sloan Management review. 👇