Quadrivia, an AI company set up by Ali Parsa founder of Babylon Health, has launched in beta a personal clinical assistant tool Qu, designed to support clinicians across the “full stack of routine clinical and administrative tasks” as well as patient interactions, continuous monitoring, decision-making and chronic and post-operative care.
The tool has reportedly been developed by clinicians for clinicians and offers “robust cognitive architecture” with orchestration from LLM-based systems, designed to perform specific tasks or sub-tasks. Qu aims to provide responses based on a clinical knowledge base, combining a range of sources and medical guidelines, which are then validated by clinicians. Additionally, these responses take into account the patient health record, utilising data from sources such as the electronic health record and clinical notes.
A video shared by Parsa provides further insight into how Qu can offer assistance; for example supporting consultations by managing history taking, providing hypotheses, suggesting investigations, proposing appropriate treatments and recommending local specialists.
Parsa invites clinicians and carers to test out Qu and offer feedback to help shape the tool, with future plans to “open Qu for every clinician everywhere” and enable them to customise it as their own personal AI assistant according to needs.
AI wider trend
Earlier in the week HTN noted a report from The Department for Science, Innovation & Technology examining the UK’s AI assurance market, looking at the current landscape, opportunities for future market growth, and potential government actions required to support this “emerging industry”.
Last week we took a look at the AI policy from Somerset NHS Foundation Trust, focusing on the need for safe integration and an approach balancing innovation with ethical and legal responsibilities.
Also in November, we explored a new reporting standard from the National Institute of Health and Care Excellence, aiming to help improve the transparency and quality of cost-effectiveness studies of AI technologies; and reported how Scalpel AI, combining computer vision and machine learning to identify and track surgical instruments, raised £3.8 million to help the company scale its global operations and roll out its technology across the healthcare supply chain.
Looking to October, we explored some AI use cases across the NHS and highlighted how DeepHealth, provider of a portfolio of AI solutions designed to support breast, lung, prostate and neurological care, acquired cancer diagnostic company Kheiron Medical Technologies Limited as part of efforts to expand its portfolio of AI-powered diagnostic and screening solutions.
We also examined challenges with AI evaluations as highlighted by NHS England; explored how University Hospitals Coventry and Warwickshire is utilising AI to tackle waiting lists; and noted how £12 million in government funding is being awarded to AI, VR and wearable tech pilots utilising innovations to reduce drug-related deaths.
