National AI strategy

National AI Strategy
Office for Artificial Intelligence 22 September 2021

• The National AI Strategy builds on the UK’s strengths but also represents the start of a step-change for AI in the UK, recognising the power of AI to increase resilience, productivity, growth and innovation across the private and public sectors. Actions include development of a National Strategy for AI-driven technologies in Health and Social Care, through the NHS AI Lab, which is expected to launch in early 2022.

Babylon Health and Wolverhampton Trust to create a integrated digital health system

The Royal Wolverhampton NHS Trust and Babylon to create the world’s first integrated digital health system to serve the city’s population
Babylon Health 23 January 2020

• Babylon Health and the Royal Wolverhampton Trust have announced a 10-year partnership to develop “digital-first integrated care” across the region. The partnership will allow patients to access NHS primary, secondary and community healthcare services through a single app. 
• Artificial intelligence will also be used to create personal care plans and give patients medical information and triage advice based on their symptoms.

Artificial Intelligence in Healthcare: The Hope, The Hype, The Promise, The Peril

Artificial Intelligence in Healthcare: The Hope, The Hype, The Promise, The Peril
National Academy of Medicine 8 November 2019

• This Special Publication synthesises current knowledge around artificial intelligence (AI) in health care to offer a reference document for relevant health care stakeholders. It outlines the current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritises the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward.

Artificial intelligence, bias and clinical safety. A narrative review

Artificial intelligence, bias and clinical safety. A narrative review
BMJ Qual Saf 2019;28:231-237, 19 February 2019

• This analysis is written with the dual aim of helping clinical safety professionals to critically appraise current medical AI research from a quality and safety perspective, and supporting research and development in AI by highlighting some of the clinical safety questions that must be considered if medical application of these exciting technologies is to be successful.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Academy of Medical Royal Colleges January 2019

• The use of AI in healthcare offers significant opportunities and benefits it offers patients and clinicians, however there are substantial implications for the way health and care systems across the UK operate and are organised.
• The Academy has identified seven key recommendations which politicians, policy makers and service providers would do well to follow.

Artificial Intelligence and Primary Care

Artificial Intelligence and Primary Care 
RCGP January 2019

• This paper discusses and provides a brief overview of the role and potential impact that artificial intelligence (AI) may have in primary care. 

The personalised medicine technology landscape

The personalised medicine technology landscape
PHG Foundation September 2018

• This review presents an independent evidence synthesis to inform the NHS as it seeks to develop its approach and policies to support the delivery of personalised medicine and realise its benefits for patients. To align with the timescales of the Five Year Forward View this review predominantly focuses on the near-term opportunities and associated challenges, and briefly reflects on the longer term perspective on how developments in technology and knowledge could enable a whole system transformation and advance personalised medicine. 
• This evidence synthesis sets out to: 
• Review developments in biomedical and digital technologies that have been proposed to contribute to the personalisation of medicine
• Identify and describe specific examples that have a sufficiently well-developed evidence base for validity and utility such that they would be able to underpin the delivery of personalised medicine in the next three years
•  Analyse how some of these approaches could be integrated most effectively within the NHS and highlight key considerations for action that NHS England could take to develop and deliver personalised medicine
• Chapter 4 sets out the key drivers for, and requisites to, harnessing health data and digital tools for personalised healthcare. These include: 
• The critical underpinning digital infrastructure required for personalised medicine 
• The growth in digital technologies enabling personalised disease monitoring 
• The transformative potential of artificial intelligence and machine learning for data analytics

NHS and Healthcare Data

NHS and Healthcare Data
House of Lords Library Briefing 6 September 2018

• This Briefing provides a description of healthcare data and its uses, public bodies involved in healthcare data policy and practice, and emerging technologies (including Artificial Intelligence, machine learning, genomics and potential cost savings).

RCP Position paper on Artificial intelligence (AI) in health

Artificial intelligence (AI) in health
Royal College of Physicians 3 September 2018

• The RCP has issued recommendations for the use of artificial intelligence (AI) to support doctors in providing patient care. The policy statement urges industry to address real-world challenges, doctors to appraise the technology and regulators to develop guidance and evaluation methods.

NHS and Healthcare Data - and data driven technologies

NHS and Healthcare Data
House of Lords Briefing, 31 August 2018

• A briefing prepared in advance of a House of Lords debate on NHS and healthcare data, the Briefing describes what healthcare data is and the uses to which it might be put, challenges in using healthcare data, and the organisations involved. 
• Two emerging data-driven technologies with the potential to improve healthcare outcomes are discussed - artificial intelligence and genomics.