Is Your Healthcare Organization Ready for AI?
Eighteen scored questions across six dimensions — built for healthcare providers, payers, and digital-health, with the regulatory and clinical-safety realities baked in.
- A scored profile across 6 dimensions — see exactly where you're strong and where the gaps are.
- Your biggest opportunities, mapped to specific next moves.
- A personalized video walkthrough from Shawn (optional) — a real read on your results.
Most AI initiatives in healthcare don't fail in the technology — they fail in the preparation. An honest AI readiness assessment looks past the hype at what actually determines whether AI will pay off for a hospital system, provider group, payer, or digital-health company: the state of your EHR and claims data, the clarity of your clinical and operational strategy, who owns the work, how fast you can decide, and whether your EHR, RCM, and care-coordination tools can integrate AI at all. Healthcare runs on fragmented systems, regulated data, and clinical-safety constraints that no other industry shares — which makes that foundation the deciding factor.
This free assessment scores your healthcare organization across six dimensions and returns a clear readiness profile in about seven minutes. It's built from 27 years of technology leadership across Fortune 500 and growth-stage companies — the same lens a fractional Chief AI Officer would bring to your first conversation about documentation burden, denial management, prior auth, care coordination, or patient engagement.
What the healthcare AI readiness assessment measures
Readiness is a profile, not a single number. The assessment scores six dimensions independently so you can see where you're strong and where the gaps are: Data & Infrastructure (can your EHR, claims, and operational data feed an AI system safely), Strategy & Alignment (have clinical and operational leadership defined what AI is for), Team & Talent (can someone with both AI and clinical-workflow context own it), Process & Governance (can you deploy AI within HIPAA, FDA, and clinical-safety rules), Technology & Architecture (can your EHR and RCM stack integrate AI through FHIR or HL7), and Investment & Velocity (can you fund and decide fast enough). The final question maps the specific workflows — ambient scribing, denial management, care coordination, patient engagement — where automation pays off first.
Why AI readiness matters before you invest in healthcare AI
Health systems that rush into AI without the foundations spend their first dollars proving the obvious: that a model fed inconsistent problem lists and stale claims data produces unreliable risk scores. The organizations that capture real value treat readiness as the first deliverable — they reconcile their EHR data, define a bounded workflow like prior auth or ambient documentation, name a clinical sponsor, and put HIPAA, BAA, and clinical-safety review on the critical path before they buy more tools. A readiness profile turns a vague AI ambition into a sequenced plan, and it tells you whether your constraint is data, clinician adoption, governance, technology, or simply decision speed across committees.
What you get at the end
You'll see an overall AI readiness score, a band that describes where you stand (from Pre-Foundation through Execution-Ready), a per-dimension breakdown, and a map of your highest-value automation opportunities across clinical documentation, revenue cycle, care coordination, patient engagement, operations, and research and quality. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and what a fractional Chief AI Officer engagement would do for your healthcare organization. No generic sales deck.
Frequently asked questions
What is a healthcare AI readiness assessment?
It's a structured evaluation of whether a hospital system, provider group, payer, or digital-health company has the data, strategy, team, governance, technology, and investment capacity to successfully adopt AI. Rather than measuring AI knowledge, it measures the preconditions — like clean EHR data, a named clinical sponsor, and HIPAA-ready governance — that determine whether an AI initiative will deliver value or stall in committee.
How long does the assessment take?
About seven minutes. It's 18 scored questions across six dimensions plus a final workflow-mapping question covering clinical documentation, revenue cycle, care coordination, patient engagement, operations, and research and quality. Your progress auto-saves, so you can leave and resume without losing answers.
Is the assessment free?
Yes. The assessment and your scored results are completely free. You can optionally request a personalized video walkthrough of your results, which is also free.
Who is this assessment for?
It's built for CMOs, CMIOs, COOs, CFOs, and digital-health founders who are weighing an AI investment and want a clear-eyed read on whether their organization is ready — and what to fix first if it isn't. It works for hospital systems, multi-specialty groups, payers, and digital-health companies.
What healthcare workflows can AI actually help with?
The most common starting points are ambient clinical documentation, prior authorization, medical coding and denial management, care-gap closure for value-based contracts, risk stratification, patient triage and engagement, and quality-measure abstraction. The assessment's final question maps these so you can see where automation would pay off first for your organization.