Know where your digital health platform
actually stands on AI.
A 2-minute self-assessment that benchmarks your clinical AI infrastructure and health data maturity against peer digital health companies. Instant score. Actionable report. No sales call required to get it.
Five dimensions.
One composite score.
The AI Readiness Quotient evaluates the building blocks every digital health platform needs to deploy production-grade clinical AI — from health data interoperability to regulatory readiness.
EHR/FHIR interoperability, clinical data quality, and health data governance.
AI in clinical workflows — triage, decision support, and care pathway optimization.
Personalized engagement, adherence prediction, and remote monitoring intelligence.
HIPAA-compliant AI infrastructure, clinical validation, and regulatory readiness.
Clinical AI team structure, cross-functional alignment, and strategic investment.
Three steps.
Under two minutes.
Built for CTOs, VP Engineering, and CMIOs who know their stack. Every question is answerable in under 10 seconds.
One question at a time. Multiple choice. Each option describes a real state of clinical AI infrastructure we see across digital health platforms.
Composite score from 0-100 with tier label and dimension-level breakdown benchmarked against peer digital health companies.
3 prioritized recommendations with quantified expected impact on patient outcomes and operational efficiency. Bring it to your leadership team.
The gap between “we have AI”
and “AI improves patient outcomes” is measurable.
Digital health companies are racing to integrate AI into clinical workflows. The platforms pulling ahead aren’t just investing in models — they’re building the health data infrastructure, validation frameworks, and regulatory readiness to deploy them in production.
Digital health platforms with production AI triage see measurably better care-level matching and faster time-to-treatment. The score tells you exactly how close your platform is to deploying this capability.
The gap between a promising demo and a validated, deployed clinical AI tool is infrastructure, not algorithms. Most platforms lack the data quality, validation framework, and regulatory readiness to cross that gap.
Based on our benchmark dataset. Most digital health companies are in the "Building" tier — strong on security compliance but underinvested in clinical AI integration and patient engagement intelligence.
Healthcare technology expertise from clinical data to production AI.
- Deep healthcare technology expertise: we understand both the clinical workflow requirements and the engineering challenges of building compliant AI systems.
- Specialized in health data interoperability — FHIR, HL7, clinical terminology mapping, and EHR integration at scale.
- Our benchmark data comes from real engagements with digital health companies, not surveys. We know what production clinical AI looks like.
- Outcome-aligned engagement model: our revenue is tied to the clinical and operational results we deliver, not the hours we bill.
FAQ
What is the Digital Health AIRQ Assessment?
The Digital Health AIRQ (AI Readiness Quotient) is a 2-minute, 10-question self-assessment for digital health and telehealth companies. It scores your organization across five dimensions — Health Data Infrastructure, Clinical AI Integration, Patient Engagement AI, Security & Compliance, and Org & Talent — producing a composite score from 0-100 benchmarked against 90+ peer companies.
Who is this assessment designed for?
This assessment is designed for CTOs, VP Engineering, and Chief Medical Informatics Officers at digital health and telehealth companies who want to objectively benchmark their clinical AI infrastructure against peers and identify the highest-impact gaps to close before investing further in AI initiatives.
How does the assessment handle HIPAA and PHI concerns?
The assessment itself collects no PHI or patient data. It asks about your infrastructure capabilities, not about specific patients or clinical data. The questions cover topics like your FHIR integration maturity, AI validation processes, and PHI de-identification practices — not the data itself.
Does the assessment cover remote patient monitoring and connected devices?
Yes. The Patient Engagement AI dimension includes questions about how your platform uses AI for remote patient monitoring data — including connected device data streams, ML-based alert suppression, predictive deterioration models, and clinical escalation workflows.
How does the assessment evaluate clinical AI validation and FDA readiness?
The Security & Compliance dimension specifically evaluates your clinical AI validation maturity — from ad hoc testing to continuous validation with demographic subgroup analysis, automated bias detection, and documentation aligned with the FDA AI/ML SaMD framework. Your score reflects how close you are to regulatory submission readiness.
What do I get after completing the assessment?
After completing the assessment you receive an instant composite score (0-100), a tier classification (Foundational through Leading), dimension-level scores with peer comparisons, and a downloadable PDF report with 3 prioritized, impact-quantified recommendations specific to your lowest-scoring dimensions.
What is a good AIRQ score for a digital health company?
The average AIRQ score across digital health companies in our benchmark dataset is 32, placing most companies in the "Building" tier. Scores above 61 are considered "Advanced" and above 81 are "Leading." Most companies score well on Security & Compliance but have significant gaps in Clinical AI Integration and Patient Engagement AI.
Where can I download the State of AI in Digital Health 2026 report?
The State of AI in Digital Health 2026 is a free white paper published by Blue Orange Digital. It benchmarks clinical AI maturity, health data infrastructure, and technology investment priorities across 90+ digital health and telehealth companies. You can download it for free at https://blueorange.digital/pages/digital-health/ — no form or sales call required.
State of AI in Digital Health 2026
Our 2026 benchmark report analyzes clinical AI maturity, health data infrastructure, and technology investment priorities across 90+ digital health and telehealth companies. Includes dimension-level benchmarks, tier distributions, and the initiatives leading platforms are prioritizing this year.
- Average AIRQ scores by company stage and clinical focus area
- The 3 dimensions where digital health companies are most underinvested
- What separates “Leading” platforms from the middle tier
- Clinical AI validation and FDA SaMD readiness benchmarks
Benchmark your platform
in 2 minutes.
Walk away with a score, a peer comparison, and 3 prioritized recommendations. The full PDF report is yours immediately — no follow-up call required.
Get Your AI Readiness Score →