Everything we have published

Healthcare boards have watched big data builds deliver little. Seven AI questions boards are asking now, and what management should bring to each.

Trust in AI builds in installments, and each one makes a bigger ask possible. How health plans and health systems earn it.

AI has changed how healthcare leaders spend their time and make decisions, but the leader still owns the outcome.

A win nobody defined in advance is an anecdote. How healthcare organizations turn AI pilots into programs.

Every AI initiative has a builder, but few have an owner for its value. How healthcare leaders approach AI ownership.

Healthcare AI adoption follows trust. Notes from our Health Evolution Connect panel on earning it at every level, from the C-suite to the front desk.

Healthcare organizations getting real value from AI agreed on what “working” means first. Lessons for leaders from In the Round 2026.

Healthcare leaders meet at In the Round, Oct. 12–13 in Franklin, Tennessee, to take on what AI is worth from every seat.

Scaling AI initiatives in healthcare only gets faster when you write down what the first one taught you.

Stop funding AI like an experiment, running it like software, and judging it once, if at all.

Most healthcare AI initiatives fail because nobody asks the right questions upfront. Three questions that decide value in ten minutes.

Healthcare AI value can't be measured with software's metrics. Usage numbers aren't returns, and tasks completed doesn't fit a claims workflow.

Boards have stopped asking how fast. The real question is what enterprise AI is returning, and why speed alone can't answer it.

Kimi K3 makes frontier-level AI cheap and ownable. When intelligence is a commodity, the edge is proving what you do with it.

A model that worked sat unused because no one treated the nurses’ trust as the project. Change management, not the tech stack, decides whether AI pays off.

Scaling healthcare AI takes more than better models. Organizational context is what makes AI compound faster and more precise with every initiative you run.

Is your enterprise AI ready in a day but stuck in a queue for a month? Why software delivery is now an architectural problem, not a coding one.

Optura's engineers tested Claude Fable 5 across three demanding workloads to show exactly when its premium cost is worth paying, and when it isn't.

What surfaced when women in healthcare AI leadership gathered in Nashville for an honest cross-sector conversation about AI, access, and what it takes to move up.

Token budgets don't explode because of AI. They explode because the system around AI hasn't changed.

What building AI together does to the conversation healthcare has been avoiding, and what $200 billion in discovered value looks like in practice.

Healthcare's top executives have stopped funding AI stories. Optura CEO Andy Fanning on three themes defining healthcare AI ROI in 2026.

Build an AI COE that actually delivers.

ViVE 2026 in LA: leaders weren't asking what AI can do. They were asking why it isn't working yet. That's a better question.

Anthropic’s move into healthcare raises the bar for good: AI will be judged on measurable outcomes and ROAI, not potential, and execution platforms will win.

BCG thinks the AI value gap is widening. Optura's CEO Andy Fanning weighs in on what this means for healthcare.

A year ago, Optura was a conversation about something big coming to healthcare. It is here, and the gap between building AI and benefiting from it is where the work is.