Insights on AI, data strategy, and healthcare technology
A practical 90-day playbook for escaping the reactive data trap. Transform from firefighting broken pipelines to building a proactive data platform that delivers trusted, self-service analytics.
Read moreA naive RAG implementation — vector search + LLM — is not sufficient for healthcare. Learn how to architect production-grade RAG systems with HIPAA compliance, hallucination prevention, and clinical trust built in.
Read moreMany AI initiatives stall not because of models, but because the underlying data and platforms aren't ready for production use. This checklist reflects what we see repeatedly when helping teams move AI from prototype to real-world deployment.
Read moreData fragmentation is the root cause of most VBC failures. Everyone is chasing outcomes, but no one has a single, trusted view of the patient.
Read moreThe promise of Value-Based Care—better outcomes at a lower cost—is undeniable. Yet, its widespread adoption is being stifled by deeply complex financial, operational, and cultural resistance.
Read moreMoving from proof-of-concept to production-ready AI systems requires addressing safety, integration, and clinical reality.
Read moreMost healthcare organizations are drowning in data but starving for insights. Here's how to build a modern platform that actually works.
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