Medical Economics: Why practices need a stronger data foundation before relying on AI tools
David Lareau writes in Medical Economics that AI tools need a strong clinical data foundation for safety, consistency, and value.
Healthcare IT Today: Healthcare Interoperability – 2026 Health IT Predictions
CEO David Lareau shares his 2026 interoperability predictions: The next wave of health AI adopted in 2026 will focus less on exploration and more on collaboration. The Model Context Protocol …Continue
Chief Healthcare Executive: AI in health care: 26 leaders offer predictions for 2026
David Lareau offers 2026 predictions for AI in healthcare: “As more organizations scale large language models across enterprise systems in 2026, they must evaluate both financial and operational implications. Token-based …Continue
Healthcare IT News: How health systems can prepare for the next phase of AI adoption
David Lareau offers insights on how health systems can prepare for AI adoption in 2026, including adopting MCP, improving clinical documentation for reimbursement and outcomes, and leveraging smaller, domain-specific AI …Continue
HealthIT Answers: Will We Continue to See AI Improve Healthcare RCM in 2026?
David Lareau is quoted in HealthIT Answers: “AI-driven automation is already reshaping revenue cycle management, expediting eligibility checks, pre-authorizations, and billing accuracy. Yet true progress depends on systems that understand …Continue
Healthcare IT Today: Is EHR Market Dominance the Death of Innovation?
David Lareau writes that healthcare innovation depends on a competitive landscape where vendors rethink how technology supports clinicians.
MedCity News: The Case for a Universal Medical Coder in Achieving True Interoperability
David Lareau makes the case for a universal medical coder to address the enduring challenge of clinical data integrity.
HISTalk Interviews David Lareau, CEO, Medicomp Systems
CEO David Lareau discusses how Medicomp’s Quippe Clinical Knowledge Graph extends healthcare AI with a domain-specific model that supports downstream processes and data needs.
Forbes: Why Bigger Is Not Always Better When It Comes To AI In Healthcare
CEO David Lareau writes that while large language models dominate AI discussions, healthcare organizations are discovering that smaller, domain-specific models often deliver better value, lower costs, and safer outcomes for …Continue
HealthIT Answers: Beyond Billing
What U.S. healthcare can learn from Southeast Asia about building a digital foundation for healthcare transformation
