ReferIQ

Project overview

ReferIQ helps administrative and clinical teams work with complex referral information more safely and consistently by summarising content, highlighting gaps and supporting pathway-aware review under professional oversight.

Problem addressed

Referral processes are often document-heavy and inconsistent, increasing risk of missing information, duplicated effort and delayed or poorly prepared administrative decisions.

Users and stakeholders

Referral administration teams, clinical reviewers, service managers and research partners exploring safer administrative AI in health pathways.

Responsible AI and safety position

Designed to support professional review rather than autonomous clinical triage. Completeness checks and summaries are assistive; final decisions remain with qualified staff.

Interoperability and integration

Intended to align with referral workflows and future health-information exchange patterns, with governance and audit considerations built into the concept of use.

Research and collaboration opportunities

Available for research and service collaboration on referral intelligence, governance models and human-in-the-loop evaluation.

Main capabilities

• →Referral summarisation
• →Completeness checking
• →Missing-information identification
• →Pathway grouping
• →Governance-aware administrative support

Current development stage

Working research prototype — collaboration and demonstration available on request. Working prototypes and demonstrations are available for research, clinical and industry collaboration upon request.

Contact or demonstration request

For research, clinical or industry collaboration — including demonstration requests — please get in touch.