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HTA Pattern Match
34 structured rejection patterns drawn from published MSAC, NICE, and PHARMAC guidance show which device evidence claims have historically determined funding outcomes.
Explore corpus →Ascentra · A²I™ Device
Data intelligence to inform equitable and fair access to medical devices
Move from rejection-pattern matching to risk rehearsal — across device reimbursement pathways in Australia, the UK, and New Zealand.
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34 structured rejection patterns drawn from published MSAC, NICE, and PHARMAC guidance show which device evidence claims have historically determined funding outcomes.
Explore corpus →02
Not all evidence carries equal weight. Identify which claims in your evidence base have been challenged in similar device submissions — ranked by relevance to your device class.
View risk patterns →03
For every high-risk claim, see what evidence — including in silico device simulation where accepted — has historically closed the gap.
Equity landscape →Each market has a distinct evidence bar — and a distinct remediation pathway.
Single-arm designs, wrong comparator, and missing economic models are MSAC's most common basis for a Not Recommended or Deferred device decision.
Claiming a higher Evidence Standards Framework tier than the evidence supports, or an economic model outside the NICE reference case, drives most negative appraisals.
Absent Māori/Pacific equity evidence and no budget impact analysis are recurring gaps under PHARMAC's Factors for Consideration for device funding.
No Coverage with Evidence Development plan, no site-of-service/team requirements, or relying on FDA clearance alone are recurring gaps in real CMS coverage decisions. Largest US public payer, not the only one — Medicaid and private payers aren't covered.
A different question from the three above (market approval, not funding) — shown here as reference material. Not part of the Evidence Gap Analysis score.
Explore rejection patterns and equity signals by device class.
Imaging, point-of-care tests, screening devices
View →In vitro diagnostics, companion diagnostics, lab-based assays
View →Cardiac devices, orthopaedic implants, neurostimulators
View →Software as a medical device, apps, AI/ML clinical decision support
View →Surgical devices, energy-based therapeutics, interventional tools
View →Combination products, drug-eluting devices, delivery systems
View →Filter by body, domain, device class, and in-silico mitigation path.