AI-assisted patient prioritisation for clinical trial recruitment
A published customer case study reports that Clinrol Connect used AI to prioritise patients based on likelihood of qualifying in one implementation. The article does not document the scoring method or establish the same setup for every site.
Evidence and limits
- Reported
- AI helped prioritise patients based on their likelihood of qualifying.
- Reported context
- The implementation included structured phone screening and live eligibility checks; human calls remained central.
- Not specified
- Scoring inputs, ranking rules, thresholds and availability for other sites.
What the published evidence supports
A June 2026 case study describes AI prioritisation alongside live eligibility checks and structured phone screening across several live studies.
The article does not specify the data used, ranking method, thresholds, explanations shown to staff or how prioritisation is configured. This page does not infer those product details from the case study.
The case study says human calls remained central to the process. Patient prioritisation is not a medical assessment or final eligibility decision. Confirm availability, staff review and study-specific setup directly with Clinrol.
What the published case study confirms
The published report describes one customer implementation. It is evidence of that deployment, not a universal configuration or a measured performance claim.
- Reported point 1
A live implementation
The report describes Clinrol Connect being used across several live studies in one deployment.
- Reported point 2
AI-assisted prioritisation
The report says AI was used to prioritise patients based on their likelihood of qualifying.
- Reported point 3
Human calls remained central
The report describes human calls as a core part of the recruitment process.
What patient prioritisation includes
Likelihood-based prioritisation
The published case study reports AI-assisted prioritisation based on likelihood of qualifying.
Separate from final eligibility
The case study also describes live eligibility checks. It does not present prioritisation as the site's final eligibility decision.
Confirm your site's scope
The report does not identify the inputs, scoring rules or availability for other sites. Ask Clinrol to confirm and demonstrate your proposed setup.
Frequently asked questions
- What does the case study say about patient prioritisation?
- It reports that AI was used to prioritise patients based on likelihood of qualifying in one Clinrol Connect implementation.
- Does prioritisation make the final eligibility decision?
- No. The report discusses prioritisation separately from live eligibility checks and describes human calls as central to the process. The site team remains responsible for study decisions.
- Which information and scoring rules does the feature use?
- The published case study does not specify the inputs, scoring method or thresholds. Ask Clinrol to demonstrate the configuration proposed for your study.
- Is the same setup available to every site?
- The case study confirms one implementation only. Confirm availability, configuration and review steps for your own site and study.
Works alongside
AI pre-screening
Ayla, the AI agent in Clinrol Connect, calls patients, asks protocol-specific questions and records structured answers for staff review.
Read about ai pre-screeningAI eligibility checks
Automated screening across calls and forms aligned to your protocol.
Read about ai eligibility checksSee patient prioritisation with your own study in mind
Book a walkthrough of Clinrol Connect and bring your screening questions and recruitment workflow.