Healthcare AI Radar
Seventeen categories of AI in healthcare, clinical and administrative, each scored on three separate maturities: evidence, deployment and economics. A category only scales when all three line up. The chart plots proof against budget, bubble size shows deployment, and every score opens to the dated, cited evidence behind it.
Global scope with a UK read · Data as at August 2026 · Refreshed quarterly, next review November 2026
Read the argument, score your company, or take the data
The three maturities of healthcare AI
The argument behind the radar: why a category only scales when evidence, deployment and economics line up, with the scored read of all seventeen categories and what moves next. Free 13-page PDF, no form.
Read the whitepaper→Score your company against its category
Paste the prompt into a Claude project with your own materials. It places you in a category, scores you on the same three maturities with the same rubrics, checks which regulatory lane you are in, and gives you the gap read. Free, and nothing you paste leaves your own account.
Get the prompt→The scores and the sources, one file
Every category's three scores with the dated sources behind them, machine-readable JSON. Use it, quote it, challenge it. If you think a score is wrong, say so through the contact page, with evidence.
Download the data→FAQs
What is the Healthcare AI Radar?
A scored map of seventeen categories of AI in healthcare, eleven clinical and six administrative. Each category gets three scores out of ten: evidence (independent, prospective, ideally randomised results, not vendor benchmarks), deployment (routine use at scale, not pilots) and economics (a repeatable way to get paid). The status of a category is set by its weakest score, because one weak leg is what stops a category scaling.
Who is the radar for?
Investors and PE operating partners deciding which categories deserve capital and which valuations carry hidden evidence risk; founders placing their company against the maturity of its category; and boards and NHS leaders judging which AI is ready to buy and which is still selling ahead of the proof.
Why three separate maturities?
Because the categories that scaled did all three at once, and the ones that stalled were missing exactly one. Radiology imaging converged regulatory clearance, payment codes and a workforce shortage. Ambient scribes needed no device clearance and paid for themselves, so they became the fastest adoption curve healthcare IT has seen. Sepsis prediction stalled for a decade on contested evidence despite obvious clinical value. The gap between a category's three scores is the diligence question.
What do the quadrant labels mean?
The chart plots evidence against economics. Proof and budget is where categories scale. Proof, no budget is proven work waiting for a payment route. Budget, no proof is the caution corner: money is flowing ahead of independent evidence, which is where buyers get burned. Neither, yet is early, which is not an insult; the operating theatre lives there today.
Where does the evidence come from?
Every score carries dated, linked sources: regulatory clearances, randomised and prospective trials, national policy and guidance, and market adoption data. The scores are editorial judgement applied to that evidence, and the evidence is shown so you can disagree with the judgement.
How are the example players chosen?
They are illustrative, not a ranking and not exhaustive, and inclusion is not an endorsement. If you think your company belongs, suggest it through the contact page with the evidence: a regulatory clearance or an independently published deployment. Inclusion is editorial, free and not guaranteed.
Can I score my own company against it?
Yes. The prompt page gives you a Claude prompt that places your company in its category, scores you on the same three maturities with defined rubrics, checks which regulatory lane you are in and whether your roadmap crosses the device line, and ends with the gap read. Nothing you paste touches Ortent's servers.
How often is it refreshed?
Quarterly, alongside the NHS Board Radar refresh. The current build is August 2026; the next review is November 2026. Categories are held constant between cycles so movement is real. The events that would move each category are listed on its scorecard.