Question to the Department of Health and Social Care:
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.