AI Readiness for Healthcare

At the threshold
of human and AI healthcare.

AI is arriving in healthcare—fast. Organisations are being challenged to implement it safely and realise benefits. LiminalX exists to measure that readiness—for both sides—and close the gap.

Are you ready for AI?→

Why this, why now

The technology is arriving faster than the readiness around it.

692FDA-cleared AI/ML devices

As of late 2025, the FDA has cleared nearly 700 AI/ML-enabled medical devices—up from 6 in 2015.

The clinical AI surface is growing faster than any single department, regulator, or training programme can keep pace with.

Source: FDA AI/ML Device List · 2025

~50% of FDA-cleared models

report no validation in populations representative of where they're deployed.

A model that performs well on the bench can fail quietly in the room. Closing that gap is a shared responsibility—the threshold between them.

Source: Wu et al., Nature Medicine · 2021

3% externally validated

Only 3% of healthcare AI tools have been externally validated in a clinical setting different from where they were developed.

Most AI tools are tested where they were built. The gap between development performance and deployment reality is where patient safety lives.

Source: Liu et al., Nature Medicine · 2020

What we do

We measure both sides—and the space between them.

Human & organisational readiness

Are the people and the institutions using AI prepared to use it well — to recognise its limits, calibrate their trust, and act with vigilance in real-world care?

AI product & system readiness

Is the AI itself fit for the population it will encounter? Has it been validated, stress-tested, and evidenced in conditions that match where it will be deployed?

Most failures don't live in the model or in the user. They live in the convergence.

Our solution

One product. Simplicity in a world of complexity.

THRIVE™ is the AI readiness solution for healthcare—covering individuals, organisations, academia, and vendors in a single, unified framework.

TTechnicalAddresses what the AI system actually is and how it is built — architecture, training data, performance validation, robustness over time, and the technical artefacts required for auditability.

HHumanCovers the people in the loop — what they understand, how they respond when an AI suggestion lands in front of them, and whether the system helps them stay calibrated or quietly erodes their judgement.

RRegulatoryAddresses when an AI system is permitted to operate — marketing authorisation, classification, conformity assessment, transparency and risk-management obligations imposed by law.

IInfrastructureWhat must exist around the model for it to operate safely in a real clinical environment — quality management, IT integration, workflow fit, data flows, monitoring, and change management.

VValueAsks the question benchmarks usually skip — does this AI actually do good for the patients, the clinicians, and the system that deploys it.

E^™EvaluationHow readiness gets measured — what evidence is required, generated, audited and re-tested, and what counts as adequate proof of safety and effectiveness.

Take the next step

Take your free Human Readiness Assessment.

★ Free

Are you ready for AI?

Take your free Human Readiness Assessment—short, scenario-based, in your specialty—and unlock a personal dashboard that grows with each cycle.

✓ Personal AI Readiness Level across six dimensions
✓ Behavioural profile across five clinical traits
✓ Cycle-over-cycle tracking—your dashboard grows with each session
✓ Specialty-specific scenarios; never visible to your employer

Start your assessment→