AI-Assisted Smart Referral System
KTP Project with Provide CIC, UK (2018-2021)
- Funding Amount: £289,127.00
- Funder: Innovate UK (formerly Technology Strategy Board)
- Role: Academic Supervisor
- Academic Team: Dr Haider Raza, Professor Maria Fasli, Dr Renato Amorim
- KTP Associate: Dr Dheeraj Rathee
- Industry Lead:
- Year: 2018 - 2021
Provide partnered with Essex academics for their world-leading research and expertise in data science. The Knowledge Transfer Partnership (KTP) was established to improve the efficiency of the triaging process by creating a decision-making engine, powered by AI and Natural Language Processing, which could identify the type of service patients needed and then guide them to the required level of support.
As part of the partnership, the AI Triage software – the Smart Referral System – has been developed and implemented for automated triaging of patients with musculoskeletal conditions.
The newly developed AI tool has been a huge success, reducing delays in information gathering and the number of incomplete referrals, easing triage time, increasing flexibility, providing new functionalities for risk assessment and sign-posting, offering a symptom checker, and providing low-risk patients with self-help options.
The wider impact of this software on the NHS could be significant, as it could eventually be rolled out to many other services and areas.
In addition to the KTP, the project team also worked on a Bed Bureau app, an idea born during the pandemic. Hospital bed management was already a challenge even before it was exacerbated by Covid-19. The Bed Bureau app has a live dashboard displaying bed availability in red (fully booked), amber (up to 50% available), and green (over 50% available).
Our KTP Associate: Dr Dheeraj Rathee won Best Knowledge Transfer Partnership (KTP) Associate at our KTP Award Ceremony 2021 link and Dr Haider Raza won Best Academic YouTube.