Live sessions, product demos, and deep-dives from the Innovaccer team.
A CHIME-endorsed framework for evaluating platforms that claim to execute autonomous workflows — and the questions that separate genuine context infrastructure from context-poor automation dressed up as autonomy.
Healthcare has made an enormous bet on technology and the results are mixed. KLAS researcher Benjamin Cassity joins Dennis Dailey to share what the research actually shows about where health systems are finding value, where gaps persist, and what AI needs to do next.
Context coverage is expanding, agent autonomy is deepening, and administrative workflows are being automated end to end. Innovaccer unveils its 2026 to 2027 product vision for the Healthcare Autonomy Platform, and what it means for organizations ready to move beyond assisted AI.
What actually changes when AI executes workflows rather than assists with them? CFOs and CMOs take on the questions boards are asking about labor redeployment, denials, throughput, and a financial case for autonomous AI that survives scrutiny.
When autonomous AI takes on administrative execution, some roles change, some disappear, and some become more valuable. A look at that shift, with practical frameworks for change management and workforce transition planning.
Revenue cycle leaders know the problem and have seen the pilots. The harder question is how to build the board-level case for AI that executes rather than assists — and sustain it through every budget cycle.
The pilots ran, the demos were compelling, the early metrics looked promising — and the impact never reached the P&L. This session examines what it actually takes to build the enterprise foundation: unified data, embedded governance, and economic models that compound rather than restart.
Healthcare finance leaders have navigated margin pressure before, but this moment is different. What financial leadership actually requires when AI moves from assistant to executor.
Not predictions, not demos — an honest conversation with leaders across the healthcare ecosystem about what enterprise-wide AI actually requires. The structural decisions, organizational realities, and shared infrastructure that separate organizations genuinely scaling AI from those still running pilots.
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