Recent research by Data Axle #PoweredbyDynata reveals there’s growing demand for personalization across health insurance but also clear expectations about how it’s done. Key takeaways: 📌 Personalization is now expected across benefits, coverage and communications. 📌 Trust and consent are crucial. Consumers are willing to share certain types of health, lifestyle or behavior data, but only if they understand the benefit, know what will be done with it and have control. 📌 There are generational differences. Younger cohorts tend to be more digitally comfortable, more open to data sharing and embrace AI/automation more readily. Older cohorts tend to want simplicity, control, clarity, and consistency. 📌 AI is seen as both promising and risky. It’s welcomed for its potential to improve recommendations and experience, but people want transparency, human oversight, and opt-out options. Consumers want technology that works for them, not on them. For insurers, the opportunity lies in getting personalization right – not just as a tech upgrade, but as a trust-building strategy. #insurance #healthinsurance #healthdata
Data Axle research: Consumers want personalized health insurance with trust and control.
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AI is starting to make a real difference in Aussie healthcare and insurance, but guess what matters most? Trust. Nearly 90% of local insurers are already using generative AI, but pilots and full rollouts are slowed by real questions about accountability and transparency. Done right, with solid governance, AI becomes a teammate everyone can trust. #AI #insurance #healthcare
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Navigating health insurance shouldn’t feel impossible. Yet for many older adults, it often does. Choice overload, digital barriers, and complex denial processes leave millions without the care they deserve. In our latest blog, Neal K. Shah, CEO of AgeTech Collaborative™ from AARP startup participant CareYaya Health Technologies and co-founder of Counterforce Health, explores how artificial intelligence is reshaping this reality: 📞 Voice AI that works over landlines to simplify Medicare enrollment 💬 SMS-based AI that answers coverage questions in minutes 📝 AI advocates that draft appeal letters and fight denied claims Every day, approximately 10,000 Americans turn 65 and become eligible for Medicare. These innovations couldn’t be more timely. By adapting to people rather than the other way around, AI is helping older adults gain clarity, confidence, and dignity in navigating healthcare. Read the full post → https://lnkd.in/eVWAx67Q #AgeTech #AI #HealthcareInnovation #LongevityEconomy #DigitalTransformation
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💡 AI in Health Insurance: From Cost Burden to Smart Savings In today’s healthcare landscape, one of the most critical challenges for both patients and providers is the escalating cost of insurance. Billions of dollars are lost annually due to administrative inefficiencies, fraud, and delayed claim processes. 🚀 Here is where Artificial Intelligence (AI) can revolutionize the system: • Fraud Detection → AI can identify unusual claim patterns within seconds, preventing billions in unnecessary payouts. • Predictive Analytics → By forecasting risk more accurately, insurers can tailor premiums fairly while reducing losses. • Automated Claim Processing → Faster approvals save time for patients and cut administrative costs dramatically. • Personalized Plans → Data-driven insights allow insurers to design flexible, affordable packages based on individual health profiles. 📊 According to industry studies, AI integration could reduce insurance operational costs by 15–25% annually, translating into tens of billions of dollars in savings across global markets. 🌍 As healthcare leaders, we must view AI not as a luxury but as an essential tool to ensure affordability, equity, and sustainability in health coverage. 👉 I am personally committed to advancing projects in this area, especially across the Middle East and emerging markets, where AI-driven insurance models can dramatically expand access to care while lowering costs. 🔹 Question for my network: Where do you see the biggest opportunity for AI to cut costs in insurance—fraud prevention, automation, or personalized risk management? #AI #Healthcare #Insurance #DigitalHealth #Innovation
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What happens when AI-powered technology joins hands with empathetic care? You get a new era of health insurance support that’s smarter, faster, and more human. In her latest blog, Dr. Smrite Goudhaman shares how insurers can reimagine customer support with the right blend of tech and compassion. 👉 Read now: https://lnkd.in/daU_-vFx #HealthInsurance #AI #CustomerExperience #DigitalInnovation #Datamatics
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✅ Colorado’s 2025 Special Session has officially adjourned sine die. CAHP was actively engaged throughout this extraordinary session to ensure that critical issues impacting health coverage were addressed responsibly: • Health Insurance Affordability Enterprise (HIAE) – Lawmakers advanced HB25B-1006, which strengthens the state’s ability to improve affordability in the individual market while ensuring funding stability. • Artificial Intelligence (AI) – After much debate, proposals were narrowed significantly. The legislature ultimately decided to delay implementation of Colorado’s prior AI law until June 2026, giving stakeholders more time to prepare and collaborate. CAHP will continue working with policymakers, regulators, and partners to make health insurance more affordable and to shape smart, workable AI policies for Colorado. #COleg #healthinsurance #affordability #AI #cogov
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WHEN AI NEEDS A HUMAN BACKUP AI is transforming health insurance operations, automating everything from plan recommendations to call documentation. But as adoption grows, so does the need to keep a human in the loop. Automation can move quickly and confidently, but that doesn’t mean it’s always right. AUTOMATION IS A POOR REPLACEMENT FOR JUDGMENT AI can process data at scale and suggest next steps. But when it comes to protecting member trust and ensuring compliance, human oversight is non-negotiable. ‣ AI can flag potential compliance risks, but people are needed provide the context that machines lack ‣ Automation can pre-fill forms, but agents must verify accuracy before submission ‣ AI can recommend plans, but only humans can confirm they truly meet the member’s needs GETTING THE BALANCE RIGHT The goal isn’t to slow down progress but to strengthen it. Blending automation with thoughtful human interaction and review reduces risk, builds member confidence, and ensures that technology serves people, not the other way around. CONCLUSION AI is a tool, not a decision-maker. Carriers who build workflows that combine automation with expert judgment deliver better outcomes for operations, agents, and the members they serve. e123 helps carriers deploy AI with the right checks, balances, and human backup to ensure every interaction remains compliant, accurate, and member-centered. #AIinHealthcare #HumanInTheLoop #HealthInsurance #Compliance #DigitalWorkflows #MemberExperience #e123 #Insurtech #DistributionManagement #HealthInsurance
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Can AI reshape the future of health insurance? In the 18th episode of the #XDCMENAPodcast, I had the opportunity to sit down with Dr. Sheetal Chand, Founder and Chief Scientist of SHEALTH AI, together with Insurance industry expert Mr. Yashesh. Ajay Sampat, to explore how artificial intelligence is being applied beyond diagnostics and into the insurance sector. We discussed how #ShealthAI can help insurers streamline claims processing, improve risk management, and design smarter, more customized policies through predictive analytics. At the same time, we looked at the critical balance between ensuring privacy compliance and providing actionable insights that insurers can trust. This conversation offers a glimpse into how AI is paving the way for a more proactive and efficient insurance ecosystem. The full episode will be released this week on the official XDC Network channels. #AI #AIinHealthCare #AIInnovation André Casterman | Atul Khekade | Aneri Merchant | Angus O'Callaghan | Amit M | Beny Mohammadkhani | Billy Sebell | ✨Rachna Baruah - Madchatter | Saloi Benbaha | Diego Consimo | Dattatray Hande | runlai deng | Mohit D. | Joana Gapuz | Jeremy Noori | Kishan Baalaji | Louis A | Sonny Mohanty | Nadar Suresh | Nolan Ngo | Namita Khekade | XDC Trade Network | Omkar Mestry | rushabh parmar | Ritesh Kakkad | Raj Shah | Sunil Senapati | Sean White | Tadashi Yoshida | Thibault Delrue | XDC Ventures (XVC.TECH) | Vrushali Panchal | Wanwiset Peerapatanapokin | Yuhui Sung |
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Aarogya Setu 2.0 is coming. PM Modi to launch an AI-powered health app unifying medical records, teleconsultations, insurance & more under one digital platform — making quality healthcare simpler, seamless & citizen-first. Read here : https://lnkd.in/d8ymCfCm #DigitalHealth #ABDM #AarogyaSetu #AI #ML
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"Insurance claim denials are a silent epidemic—but what if the same AI that refuses care could now help you fight back? This new RTP-based startup, Counterforce Health, is using AI to draft appeals in minutes—free for patients and clinics, and even deployed via mobile clinics in rural NC. With reversal rates around 70%, this is the kind of innovation that could transform healthcare access. Curious how it works and what’s next for AI in insurance? Check it out."** #aiinsurance #ai #insurance
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Thoughts? “I was a click away from buying what looked like a government-sanctioned health‑insurance plan—until I pasted the policy into Claude, Anthropic’s artificial-intelligence chatbot. In seconds it warned: “I need to be very direct with you: This is not legitimate insurance. Here are the major red flags.” The broker, who had suggested the plan after receiving my data from HealthCare.gov, played down the issue: “No need to worry. It’s considered the minimum essential coverage.” Claude flagged the discrepancy. Though the policy was pitched as “minimum essential coverage,” its disclaimers repeatedly stated it is “not insurance coverage” and “does not meet the minimum creditable coverage requirements.” Fortunately, 10 minutes of AI vetting spared me from the dubious plan and its likely cascade of surprise bills. My near-miss illustrates how large‑language‑model AI systems are helping patients spot errors, understand lab reports, and stick to care plans. A 2016 Johns Hopkins study estimated that medical mistakes kill 250,000 Americans a year—behind only heart disease and cancer, though some researchers argue that figure runs too high. Either way, much of the checking now falls on patients. AI can shoulder part of the load. In research published in June, Microsoft’s experimental Diagnostic Orchestrator solved New England Journal of Medicine case studies with 85% accuracy, roughly four times as well as primary-care doctors using the same data. AI models can hallucinate, miss context or miscalculate doses. But with the following four tactics, which I tested on my migraines, gut issues and fatigue, you can enlist AI in your health care. • Keep a health diary. Open a new AI chat (Claude, ChatGPT, Gemini, Grok or another top model) and paste in your health information: diagnoses, surgeries, lab results, current medicines and doses, wearable data, and even stubborn “mystery” symptoms. Privacy is crucial, so before sharing health data, open Settings and in Data Controls, turn off “Use my data to improve the model” in Claude, ChatGPT or Grok. Gemini doesn’t provide an easy opt-out option. These conversations aren’t protected by the Health Insurance Portability and Accountability Act.” https://lnkd.in/g2PXCzNv
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