Articles & Guides
Practical writing on AI in healthcare for health system leaders who want to know what AI can actually carry today.
Healthcare AI Search Optimization
How hospitals, practices and healthcare companies appear when patients and buyers research through AI. Measured by service line, market and competitor.
Read →AI Share of Discovery Protocol (v1.0)
The open measurement standard. Definitions, sampling, scoring rules, calculations and stated limitations — published so any third party can replicate a measurement.
Read →MGMA found 55% of practices have no AI search strategy
The headline figure is the one being quoted. The finding underneath it is more useful — and it explains why almost nobody has solved this yet.
Read article →How AI search is changing how patients find hospitals and physicians
A channel that barely registered two years ago now influences more patient provider decisions than Google search does. Almost no health system is measuring it.
Read article →Can AI find your hospital? Measuring AI Share of Discovery
A definition, a calculation, and an argument about why most AI visibility reporting does not survive a second look.
Read article →When hospital executives ask AI which healthcare companies to consider, does yours appear?
Sixty-nine percent of B2B buyers changed vendor from what they had planned, based on what an AI assistant told them. In healthcare, where buying cycles are long and shortlists form early, that number should be alarming.
Read article →How to Choose a Healthcare AI Vendor: The 2026 Decision Guide
The 2026 vendor landscape by category, a five-criteria weighted evaluation framework, and the red flags that end conversations early.
Read article →12 Questions to Ask Any Healthcare AI Vendor (2026 Checklist)
The interrogation script for any healthcare AI purchase, with the strong and weak answers to listen for on proof, integration, pricing, data, and exit.
Read article →Your First Hospital AI Project: A 90-Day Plan
How to pick the right first workflow, set the baseline, run 90 days narrow, and decide to scale or stop. With sourced benchmarks.
Read article →AI Is Not a Software Purchase
Why health systems fail at AI when they start with the tool instead of the work. The difference between buying AI and applying it.
Read article →The Work Nobody Went Into Healthcare to Do
The business-side workflows consuming your best people. What AI can absorb today, and what happens to capacity when it does.
Read article →Your Best People Carry Your Most Broken Processes
Every health system has processes that don't work the way they were designed. The gaps get filled by people. That cost is invisible, and it's larger than you think.
Read article →What AI Can Actually Do for the Revenue Cycle
Denial prevention, not denial recovery. Eligibility verification, claim scrubbing, and appeals automation. The practical breakdown.
Read article →Deciding Where AI Fits, a CFO's Guide
How to evaluate AI opportunities by dollars and hours, not hype. The assessment framework that prioritizes what to start with.
Read article →Everyone Is Selling Intelligence. Nobody Has Read Your Operations.
Why the first step in AI adoption isn't choosing a platform. It's understanding your own work. Most health systems haven't done it.
Read article →PARTNER SITES
More from Lisa T. Miller
State of AI for Small Business
The content hub. Research, guides, and the AI Opportunity Atlas with 131 AI implementation use cases.
Visit →