Glossary of terms

This report has been developed by Health Education England and the NHS Artificial Intelligence (AI) Lab at the NHS Transformation Directorate.

Health Education England

Health Education England (HEE) exists for one reason only: to support the delivery of excellent healthcare and health improvement to the patients and public of England by ensuring that the workforce of today and tomorrow has the right numbers, skills, values and behaviours, at the right time and in the right place.

At any one-time HEE supports more than 160,000 students and trainees whilst working closely with partners across the NHS locally, regionally, and nationally on shared priorities.

In 2019, HEE were commissioned by the then Secretary of State to deliver the Topol Review recommendations looking at the impact of leading-edge digital technologies on the workforce. The Digital, Artificial Intelligence and Robotics Technologies in Education (DART-Ed) programme picks up from this in 2021 to explore the linkage between mature evidenced AI and its workforce impact and required training and education.

NHS Artificial Intelligence (AI) Lab

The NHS AI Lab was set up to accelerate the safe, ethical and effective adoption of AI in health and social care. Its vision is that the UK will be world leading for the development and use of AI-driven technologies to improve people’s health and wellbeing, delivering the most impactful technology to support our health and care system. The Lab creates an environment for collaboration and co-creation by bringing together programmes that address the barriers to developing and deploying AI in health and care. This will unlock the potential of AI to change the way healthcare is delivered, whilst ensuring we can determine the right guidance and regulations to protect patients and those in care.

About the authors

Dr Mike Nix is a Clinical Fellow for AI and Workforce at Health Education England and the NHS AI Lab.

George Onisiforou is a Research Manager for the AI Ethics Initiative at the NHS AI Lab.

Dr Annabelle Painter is a Clinical Fellow for AI and Workforce at Health Education England and the NHS AI Lab.

The authors would like to thank the following for their ongoing guidance and oversight of all research deliverables.

• Dr Hatim Abdulhussein (Health Education England)
• Brhmie Balaram (NHS AI Lab)
• Lucy Dodkin (Health Education England)
• Tom Hardie (The Health Foundation)

The authors would like to thank the following individuals at Health Education England (HEE) for providing valuable feedback on aspects of this report.

• Prof Adrian Brooke
• Alan Davies
• Prof Berne Ferry
• Dominic Gilroy
• Orlando Hampton
• Patrick Mitchell
• Chris Munsch
• Stuart Sutherland
• Paul Sadle
• Dr Andrew Tate
• Richard Turnbull

The authors would like to thank the following individuals at the NHS Transformation Directorate.

• Dan Berry
• Sarah Culkin
• Dominic Cushnan
• Edward Kendall
• Yinka Makinde
• Dr Kate Pavlidou
• Ming Tang 

The authors would also like to thank:

• Dr Alan Davies (University of Manchester)
• Dr Alexander Deng (Guy's and St Thomas' NHS Foundation Trust)
• Dr Allison Gardner (NICE)
• Dr Xiaoxuan Liu (University Hospitals Birmingham NHS Foundation Trust)
• the individuals listed in Appendix B who were interviewed for this research (and have agreed to be acknowledged), and all other interviewees for this research
• Jennifer Berger (NHS AI Lab) and Beth Johnson (Health Education England) for their support with communications activities
• Nic Hinton (Karoshikula) for designing the report

Glossary of terms

Abbreviation	Explanation
Abbreviation AHCS	Explanation Academy for Healthcare Science
Abbreviation AI	Explanation Artificial Intelligence
Abbreviation AphA	Explanation Association of professional healthcare Analysts
Abbreviation BCS	Explanation British Computer Society
Abbreviation CCIO	Explanation Chief Clinical information Officer
Abbreviation CHIME	Explanation College of Healthcare Information Management Executives
Abbreviation CIO	Explanation Chief Information Officer
Abbreviation CNIO	Explanation Chief Nursing Information Officer
Abbreviation CRDM	Explanation Clinical Reasoning and Decision Making
Abbreviation CSO	Explanation Clinical Safety Officer
Abbreviation DART-Ed	Explanation Digital, AI and Robotics Technologies in Education
Abbreviation DDaT	Explanation Digital, Data and Technology
Abbreviation FCI	Explanation Faculty of Clinical Informatics
Abbreviation FEDIP	Explanation Federation of Informatics Professionals
Abbreviation FPT	Explanation Flexible Portfolio Training
Abbreviation GMC	Explanation General Medical Council
Abbreviation HEE	Explanation Health Education England
Abbreviation HCPC	Explanation Health and Care Professions Council
Abbreviation HSST	Explanation Higher Specialist Scientist Training
Abbreviation ICS	Explanation Integrated Care System
Abbreviation IG	Explanation Information Governance
Abbreviation IT	Explanation Information Technology
Abbreviation ISDN	Explanation Informatics Skills Development Networks
Abbreviation MDT	Explanation Multi-Disciplinary Team
Abbreviation NHS	Explanation National Health Service
Abbreviation NMC	Explanation The Nursing and Midwifery Council
Abbreviation NSHCS	Explanation National School of Healthcare Science
Abbreviation PCS	Explanation Primary Care Network
Abbreviation PMO	Explanation Project Management Office
Abbreviation SIG	Explanation Special Interest Group
Abbreviation STP	Explanation Scientist Training Programme