AI · CLINICAL TRIALS · SOUTH FLORIDA

Stop Losing Randomizations to Avoidable Screen Failures

ARIA analyzes every medical record against your study criteria in seconds — so your Sub-I validates, not starts from scratch. More precision. Less waste. More revenue.

Calculate Your ROI ↓
0%
Of screen failures caused by missed inclusion criteria*
$0.0M
Cost per study when screen failures exceed 40%*
0%
Of trials fail to recruit enough patients*
BACKED BY RESEARCH PUBLISHED IN: JAMA · NIH/PMC · ACRP · APPLIED CLINICAL TRIALS · AUTOCRUITMENT

Why your clinic is leaving revenue on the table

These aren't opinions — they're the daily reality of every independent clinical trial site.

Screen failures eating your margin

Sponsors cover only a 3:1 ratio. Every failure beyond that comes out of your pocket — in coordinator time, visit costs, and delayed timelines.

Sub-I time wasted on repetitive review

20 to 60 minutes per record. Manually. One criterion at a time. Inconsistent results depending on fatigue and time of day.

Coordinator overload

Manual transcription of clinical data to source documents — hours of non-billable work every single week that your team could spend elsewhere.

From medical record to clinical decision — in seconds

Three steps. Zero manual transcription. Human always in control.

STEP 01

Medical record uploaded. ARIA reads — instantly.

The patient's medical record is uploaded to the system. ARIA reads it immediately and checks every inclusion and exclusion criterion — all simultaneously, in seconds.

STEP 02

Verdict delivered. Data extracted. Ready to use.

ARIA delivers a structured result to your Sub-I — verdict, full analysis, red flags, and all clinical data already organized. No digging. No transcription.

STEP 03

Human has the final word. Always.

Your Sub-I reviews and approves or rejects. Final decision is always human — ARIA documents the full audit trail for FDA compliance and legal accountability.

Three possible outcomes. Always clear. Always structured.

Every analysis delivers one of three verdicts — with full reasoning, red flags, and extracted clinical data attached.

STRONG MATCH
Patient meets inclusion criteria. No disqualifying exclusion factors identified. Recommend proceeding to clinical screening visit.
POSSIBLE MATCH
Some criteria confirmed. Ambiguous or missing data detected. Sub-I review recommended before scheduling the clinical visit.
NO MATCH
One or more disqualifying factors identified. Candidate does not meet current study criteria. No clinical visit needed.

What ARIA extracts from every record

ARIA doesn't just deliver a verdict. It delivers all the structured clinical data your coordinator needs — already extracted, organized, and ready to use. No manual transcription.

PRIMARY DIAGNOSIS
The core medical condition — verified against study criteria
CONCOMITANT MEDICATIONS
Full medication list — checked against exclusion criteria
MEDICAL HISTORY
Relevant past conditions that may affect eligibility
ALLERGIES
Drug and substance allergies — critical for protocol safety
SURGICAL HISTORY
Prior procedures that may qualify or disqualify a candidate
SMOKING STATUS
Current and historical — required by most protocols
ALCOHOL USE
Frequency and quantity — flagged against exclusion thresholds
RELEVANT LAB VALUES
Key results extracted and compared against required ranges
RED FLAGS
Automatic alerts for findings that likely disqualify the candidate
Everything your coordinator would have spent 20–60 minutes extracting manually arrives in the same notification — organized, labeled, and ready for source documents.

With ARIA vs. Without ARIA

The difference isn't just efficiency. It's revenue, team capacity, and operational resilience.

Metric
WITHOUT ARIA
WITH ARIA
Medical record review time
20–60 min per record, manual
Seconds. Automated. Every time.
Screen failure rate
40–51% industry average
Significantly reduced through pre-screening
Clinical screenings / 100 candidates
100 screenings
~30 screenings
Sub-I availability
Occupied reviewing records
Free for patient care and higher-value tasks
Consistency of analysis
Varies by fatigue and time of day
Same rigor for patient #1 and patient #200
Data extraction for coordinator
Manual transcription, hours per week
Automatic, organized, delivered instantly
Sub-I on vacation
Pipeline stops or degrades
ARIA keeps reviewing. No backlog.
Scalability
Limited by team capacity
Handles multiple studies simultaneously
Red flags detection
Depends on reviewer attention
Always flagged. Never missed.

Based on published industry data. All figures are illustrative projections. Individual results vary by therapeutic area, protocol complexity, and site operations.

ARIA doesn't replace your Sub-I. It makes them a Super Sub-I.

The goal was never automation for its own sake. It was giving your best people their time back.

From chart reviewer to clinical decision-maker

When ARIA handles the systematic first pass, your Sub-I stops being a records processor and becomes what they were trained to be: a physician making informed clinical decisions with complete, organized information already in front of them.

  • ARIA reviews records while your Sub-I is with patients
  • On vacation? ARIA keeps the pipeline moving — no backlog on return
  • Saturday night submission? Result ready before Monday morning
  • All 40+ criteria checked — never rushed, never fatigued at criterion #38
  • Protocol knowledge stays in the system — not tied to any one person

Built from the inside

ARIA wasn't designed in a boardroom. It was built by someone who saw the problem firsthand.

I'm not a physician. I'm not a researcher. I do data entry at a clinical trial site — and honestly, my job is to enter the data correctly and go home.

But I've watched the owners of this clinic — people who spent over 10 years building something real — stress over months when randomizations are low. When the studies slow down, the salaries don't. The rent doesn't. The pressure doesn't.

I saw their pain up close. And I knew AI could help. So I built ARIA for them. Not in a lab. Not in a boardroom.

ARIA was born inside a clinical trial clinic — built by someone who watched the problem happen in real time, and decided to do something about it.

Silvio Mendiandua — Founder, Velaris Intelligence Group

"Time is money."

— BENJAMIN FRANKLIN, 1748

In clinical trials, that time has a very specific price tag. Calculate yours below — free, private, and backed by published research.

What is your clinic leaving on the table every month?

Enter your numbers. See the real cost of manual chart review. No submission required to see your results.

Your Monthly Screen Failure Cost Estimator

Based on peer-reviewed research · NIH/PMC · AutoCruitment · Applied Clinical Trials · Your data stays private.

Unnecessary screening costs you may be absorbing
Sponsors typically cover only a 3:1 screen failure ratio. Costs beyond that come out of your pocket.
Eligible patients your team could be missing each month
Based on NIH/PMC research showing 40% of sites report incorrectly excluding eligible patients.
Annual revenue potentially left on the table
Conservative estimate: 30% of missed eligible patients could have been randomized.
ARIA covers its full annual cost with just:
That is less than one additional randomization per quarter in most cases.

The Research Behind These Numbers

These projections are grounded in peer-reviewed studies published by the National Institutes of Health — not invented estimates.

ARIA applies the same systematic rigor to every patient record — eliminating the human variability that costs sites revenue they never see.

Individual results vary by site, therapeutic area, and protocol complexity. These projections are illustrative only and do not constitute a guarantee of results.

Not for everyone — and that's the point

ARIA is built for independent clinical trial sites.

If you're a hospital system, a pharmaceutical company, or a CRO managing hundreds of sites — there are enterprise platforms built for your scale. If you're a Site Director running your own clinic, managing real studies with a real team, and absorbing the real cost of every screen failure — ARIA was built specifically for you. The technology that large academic medical centers use is now available to independent sites. At a price that makes sense for your business.

Built on HIPAA-compliant infrastructure

All legal agreements signed before any patient data is processed. No exceptions.

🔒HIPAA Compliant
📄BAA Available
👤Human-in-the-Loop
FDA Audit Trail
🛡Powered by Claude AI (Anthropic)

Real results from real sites

Client testimonials coming soon — currently onboarding our first sites in South Florida.

Ready to stop leaving randomizations on the table?

One additional randomization per month covers the entire investment. Everything beyond that is pure revenue for your clinic.

Currently accepting clinical trial sites in South Florida · No commitment required for the demo