Healthcare AI requires state-of-the-art technology to achieve the best results for clinicians and patients.
At the AI Centre, we are developing technology that allows us to access large volumes of well-curated clinical data in a controlled environment, with the appropriate technical architecture, governance, and clinical expertise.
Using the MONAI framework to access the latest AI and machine learning models, we are creating applications that will drive innovation in healthcare and allow for the fundamental redesign of clinical pathways to improve outcomes and reduce costs.
We are developing two platforms, AIDE and FLIP, which will provide access to high-quality electronic health data for the purpose of development and deployment of AI Technology. They will enable NHS trusts to test and deploy AI in clinical practice and share data in a way that is safe and secure.
AIDE - AI Deployment Engine
AIDE, the AI Deployment Engine, is an intelligent tool that allows healthcare providers to deploy AI models safely, effectively, and efficiently by enabling the integration of AI models into clinical workflows.
One of the unique features of AIDE is that it was designed by the community, for the community, and will be released as open-source. AIDE is a comprehensive system, encompassing administrative and clinical tasks as well as regulatory compliance.
AIDE provides opportunities for data scientists to deploy applications in hospital settings and in September 2021 the first instance of AIDE went live at King's College Hospital NHS Foundation Trust, with a stroke AI tool to support NHS clinicians to help improve direct patient care.
How it works
AIDE connects any AI product to the entire patient record without requiring additional hardware or installation each time a new product is delivered into the clinical workflow.
Deploying AI often involves installing separate hardware and bespoke connectivity for each algorithm. In comparison, AIDE provides a harmonised hardware and software layer, that facilitates the deployment and use of any AI product.
Once clinical data has been analysed by an AI, the results are sent to the electronic patient record to support clinical decision making, such as prioritising reporting or diagnosis.
Artificial Intelligence Deployment Engine
The platform can receive a live stream of clinical data, allowing clinicians to access near real-time AI analysis within seconds.
AIDE is compliant with Digital Imaging and Communications in Medicine (DICOM), the international standard for using medical imaging information, and Health Level Seven (HL7), a framework for using electronic health information, making it easy to integrate into existing clinical settings.
How AIDE adds value
AIDE’s dedicated IT infrastructure allows multiple algorithms to run simultaneously through bespoke Application Programming Interfaces (APIs). This provides NHS Trusts with the capability to run multiple AI solutions for day-to-day clinical care.
AIDE lowers the barrier to deploying clinical AI allowing individual Trusts to speed up the AI transformation of patient pathways.
By September 2023, we aim to deploy AIDE across all 10 NHS Trust partners and provide access to candidate AI applications.