EvolutionIQ

Medical Summarization tools are now seen as a differentiation. But how, when and where do you get access to one? When it comes to AI for Medical Summarization, the choice between building in-house or buying from a specialized vendor is more than just a tech decision, it’s a business decision. Read our new paper- To Build or Buy: Medical Summarization, which provides a step-by-step framework to decide what works best for your organization when wanting a specialized solution for bodily injury claims. Explore the paper here: https://lnkd.in/eVpixSSp #AIinInsurance #MedicalSummarization #BuildVsBuy #ClaimsExcellence

67% of AI pilots succeed when businesses buy solutions from specialized vendors or build strong partnerships. Only 33% of internal AI builds achieve their goals. The MIT GenAI Divide study makes it clear: investing in the right AI strategy pays off. Our new Build vs Buy paper on medical summarization provides a step-by-step framework to decide what works best for your organization when wanting a specialized solution for bodily injury claims, providing actionable insights and addressing the shortcomings of generic tools. Explore the framework here: https://lnkd.in/ekTEyruJ #AI #GenAI #InsuranceTech #MedicalSummarization #BuildVsBuy

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In disability claims, 𝟭 𝗶𝗻 𝟰 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗲𝘀 recorded at intake are not the disabling or most severe diagnosis. In our upcoming webinar learn how this shows up in claims data, and what additional data can improve forecasts and processes for any claims team. Join us - https://lnkd.in/edJ4qepq

The most dangerous claims are the ones that look run-of-the-mill but have unrecognized severity hidden in the notes. Legacy severity models often fail to catch these until costs have already spiked. We’ve helped leading carriers flip the script by using AI to analyze the entire claim file every single day. The Impact on Claims Organizations: * Sustained multi-point reductions. * Increased Activity: 20-30% boost in adjuster activity on flagged files. * Managerial Peace of Mind: Targeted reviews that focus on impact, not just dates. Download the study to see the data: https://lnkd.in/gM_BCJMg

Why are 75% of manager claim reviews happening too late? Traditional diary-based approaches often miss the "tipping point" where a standard file spirals into a complex, high-cost claim. Our latest case study shows how EvolutionIQ transforms the claims desk: * Earlier Intervention: Flag high-value claims 80-100 days sooner. * Meaningful Action: 3 out of 4 AI-flagged claims require immediate manager action. * Direct Savings: $7.5k - $8.5k reduction in total losses per claim. Read the full Case Study: https://lnkd.in/gM_BCJMg