Smart Strategies and Insights
for Your AI Transformation

Key Points • GenAI shows clear returns on investment: Payers can cut admin costs by 13-25% lower medical expenses by...

Key Takeaways Cloud-first LLMs break under rural constraints Edge-optimized LLMs work without stable internet Legacy EHRs require semantic wrappers, not...

Key Takeaways Text-only LLMs create blind spots in payer workflows Multimodal AI processes text, audio, images, and data together Accurate...

Key Takeaways Enterprise AI-infused systems often fail in production because inference is treated as a sidecar, not a core capability....

Key Takeaways Off-the-shelf LLMs create hidden costs and risk. Custom models align better with payer workflows. You gain auditability, prompt...

In the past six months, I’ve been in more than a dozen boardrooms, mostly as the person they call when...

Key Takeaways Proprietary APIs create hidden risks in healthcare workflows Open-source LLMs now match proprietary performance in key tasks Full...

 Key Takeaways MLOps assumptions fail under LLM complexity in payer workflows Prompt behavior, not just model performance, must be operationalized...

Key Takeaways Most hospitals can’t act on data fast enough to support timely decisions. Real-time failure leads to clinical risk,...

Key Takeaways Poor interoperability costs U.S. healthcare $30B annually Most health systems still operate on fragmented legacy systems FHIR adoption...

Key Takeaways 70% of leaders cite talent as the top blocker to enterprise AI adoption. The gap is engineers, translators,...

Key Takeaways 96% of clinicians see potential but trust still lags. Only 26% of U.S. providers trust Enterprise AI today....