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To ask the Secretary of State for Health and Social Care, what steps he his taking to use (a) data and (b) AI to improve NHS efficiency.
To ask the Secretary of State for Health and Social Care, what steps he his taking to use (a) data and (b) AI to improve NHS efficiency.
Data and technology is a key enabling workstream in our 10-Year Health Plan. The NHS is already using and promoting several national tools and datasets to help systems and providers identify and implement efficiency opportunities. The NHS Spend Comparison Service allows NHS procurement teams to identify savings opportunities. Model Hospital is a data-driven improvement tool that provides benchmarked insights across the quality of care, productivity, and organisational culture to identify opportunities for improvement. Model Hospital includes a section on the top ten medicines to support trust progress towards meeting national and trust-level uptake and savings targets by using less costly or biosimilar versions of these drugs.
The Federated Data Platform, being rolled-out to trusts and integrated care systems, will allow them to be much more effective in how they handle data to improve outcomes. It brings together information about staff, waiting times, equipment, and medicines, to allow for better planning of how the NHS uses its resources, including supply main management. This was piloted in trusts across England and showed that better use of data could help discharge patients quicker and make better use of operating theatres.
My Rt Hon. Friend, the Secretary of State for Health and Social Care has also recently announced the intention for there to be a single patient record, including primary care and hospital data, so professionals have the data to make better informed decisions, and deliver more preventative and more efficient health and care.
Through the AI in Health and Care Award, the Department has helped accelerate the testing and evaluation of artificial intelligence (AI) technologies to develop an evidence base to support the commissioning of technologies that are clinically and cost effective. So far, £113 million has been provided to 86 AI technologies, which are live in 99 hospitals across 40% of NHS acute trusts in England, as well as hundreds of Primary Care Networks across the United Kingdom.
AI technologies have huge potential in improving efficiency across the NHS by supporting clinicians with faster and more accurate diagnosis, enhancing clinical decision-making about treatment plans, and reducing the administrative burden faced by healthcare staff. The Department and NHS England are developing guidance for the responsible use of these tools and how they can be rolled out to make the day-to-day operations of the NHS more efficient.
To ask the Secretary of State for Health and Social Care, what steps they are taking to use (a) artificial intelligence and (b) data to help increase their Department's productivity.
To ask the Secretary of State for Health and Social Care, what steps they are taking to use (a) artificial intelligence and (b) data to help increase their Department's productivity.
The Department is committed to improving its productivity, including through artificial intelligence (AI), and effective use of data. To make AI and data work, the Department has focused on establishing the enablers for adopting AI responsibly, ethically, and at low cost, to ensure a high return on investment via productivity gains while also maintaining or improving process outcomes. Specifically, implementing governance and delivery structures that pool internal experts from across the Department and bring the consideration of ethics, information governance, cyber security, data science, analysis, and technology in line with guidance offered by the Central Digital and Data Office.
The Department has developed proof-of-concept projects to test these structures, including a Parliamentary Intelligence tool that saves 40 hours per week of staff time and improves the quality of insights, and a partially automated approach to consultation analysis that reduces the cost and time to analyse large consultations, while respecting The Gunning Principles.
The Department draws on a range of resources, published on GOV.UK, to inform our AI and data usage. For example, the Generative AI Framework, the Data Maturity Assessment, the Ethics, Transparency and Accountability Framework, the Data Ethics Framework, and the Algorithmic Transparency Recording Standard. The Department of Health and Social Care also has access to the Central Digital and Data Office, based in the Department for Science, Innovation and Technology, for expert advice.
Underpinning the Department’s approach to AI is shaping a data driven culture in the Department to support and enhance data science and data analysis capabilities, providing high quality data and data products in a secure, safe, legal, and ethical way. The Department has a large and mature analytical function who put data and insights at the heart of decision making and policy development. For example, the Data Hub that collates nearly 500 metrics in 27 dashboards across 13 topic areas, providing data and insights on-demand to inform decisions. The Department does not currently have any plans to implement automated decision-making systems, and people remain in full control of decision making, with AI augmenting their work.
The Department will continue to regularly review usage of AI and data to maximise productivity benefits for staff and the public.