AI in Healthcare Conference 2026
Supporters of our Events Include
Overview
The NHS 10 Year Health Plan sets out an ambition for AI to be integrated across clinical pathways, with wider use of generative AI across trusts. The potential to improve services is clear, however, there is a risk that only the most digitally advanced organisations are able to make use of it, limiting the benefits for patients. Spreading adoption more consistently across the system will therefore be key.
Agenda
Registration
Chair’s Opening Remarks
Dr Shereen Fouad, Senior Lecturer, School of Computer Science and Digital Technologies, Aston Centre for Artificial Intelligence Research and Application, Aston University (CONFIRMED)
Keynote: Building AI Capability Across the Healthcare Workforce
- Exploring what healthcare professionals need to understand how AI systems work and their limitations to interpreting and critically assessing AI-generated outputs
- Developing AI literacy across different healthcare roles so staff can use technologies confidently
- Addressing key risks including bias, hallucinations, data quality and the reliability of AI outputs in clinical settings
- Considering how healthcare organisations can support ongoing AI education and upskilling as technologies develop
Dr Shereen Fouad, Senior Lecturer, School of Computer Science and Digital Technologies, Aston Centre for Artificial Intelligence Research and Application, Aston University (CONFIRMED)
Case Study: How Are GPs Using AI? Lessons from the Front Line
- Examining how GPs are using AI in practice, through clinical documentation and managing administrative workflows
- Exploring how AI can reduce documentation and administrative burden, including what happens to the time saved and whether it can improve workload
- Addressing barriers to adoption, including professional liability, data protection and hallucinations
- Identifying how primary care organisations can implement AI safely
Case Study: Managing Workforce Pressures and Clinical Workload Using AI
- Evaluating how AI reduces administrative burden and improves clinical efficiency, while recognising that poor implementation can create new pressures and additional work for teams
- Assessing how AI changes clinical practice, including the need for oversight, and realistic expectations around productivity
- Equipping clinicians with the training to use AI critically so technology supports safe decision making rather than becoming a source of frustration
- Challenging assumptions around workforce transformation by measuring whether AI improves staff experience and patient care
Ellie Ereira, Assistant Director for Innovation and Improvement Programmes, The Health Foundation (CONFIRMED)
Questions and Answers
Breakout Networking: Developing a Coherent AI Policy Across the NHS
This session will provide you with the opportunity to discuss the main challenges you face in adopting AI safely and effectively across health and care settings.
Comfort Break
Keynote: Leveraging AI and Free-Text Data to Drive Quality Improvement
- Reducing the burden of clinical data collection and reporting by using AI to extract insight from free-text information
- Using free-text clinical data to identify variation and opportunities to improve care
- Exploring how AI can support quality improvement teams to identify trends and gaps in care without adding further demands to frontline staff
- Establishing appropriate approaches to human oversight so AI-generated insights can safely inform quality improvement
Dr Thomas Salisbury, Clinical Lead for AI and Data Science, Healthcare Quality Improvement Partnership (CONFIRMED)
Case Study: Building AI Confidence Across the NHS Workforce
- Sharing examples of how NHS organisations are using AI to improve patient experience and service delivery
- Developing the knowledge and confidence needed to use AI safely and effectively in roles across health and care
- Navigating governance, assurance and responsible AI principles to build trust and support safe adoption
- Supporting local innovation by creating networks and encouraging colleagues to embrace AI opportunities
Rosanna Hunt, Insights Lead, NHS AI Ambassadors Network (CONFIRMED)
Case Study: Implementing AI in an NHS Foundation Trust
- Exploring how AI can support clinicians by improving decision-making while maintaining human oversight and professional accountability
- Identifying where AI delivers the greatest value in reducing administrative burden and streamlining patient pathways
- Establishing governance frameworks that ensure ethical and compliant AI use across clinical workflows
- Developing AI literacy and workforce confidence so clinicians can use AI tools effectively
Questions and Answers
Chair’s Closing Remarks
Dr Shereen Fouad, Senior Lecturer, School of Computer Science and Digital Technologies, Aston Centre for Artificial Intelligence Research and Application, Aston University (CONFIRMED)
Conference Close
Get in Touch
Speakers
Dr Shereen Fouad
Senior Lecturer, School of Computer Science and Digital Technologies, Aston Centre for Artificial Intelligence Research and Application
Aston University
Dr Thomas Salisbury
Clinical Lead for AI and Data Science
HQIP
Stephanie Kumpunen
Senior Fellow
Nuffield Trust
Ellie Ereira
Assistant Director for Innovation and Improvement Programmes
The Health Foundation
Why You Should Attend
✓ High-level keynotes from senior NHS leaders, policymakers and innovators on implementing AI across clinical pathways
✓ Real-world case studies from NHS organisations demonstrating how AI is being used to reduce workload and improve patient care
✓ Explore strategies for responsible AI use that maintain public trust, transparency, and clinician oversight
✓ Gain valuable networking opportunities to share challenges and solutions with peers across health and care settings
✓ Earn 4 hours of CPD while developing your understanding of effective AI adoption in the NHS
Who Should Attend
| Organisation | Job Title |
| NHS Trust | Chief Information Officer |
| NHS England | Data Scientist |
| Department of Health and Social Care | Director of Innovation |
| Health Innovation Company | Head of AI |
| University | Clinician |
Pricing Options
PRIVATE SECTOR
Your delegate place at this leading conference gives you: Full access to the conference; E-guide; Networking opportunities during the day; Access to presentations post conference; 8 CPD Points.
PUBLIC SECTOR
Your delegate place at this leading conference gives you: Full access to the conference; E-guide; Networking opportunities during the day; Access to presentations post conference; 8 CPD Points.
VOLUNTARY SECTOR
Your delegate place at this leading conference gives you: Full access to the conference; E-guide; Networking opportunities during the day; Access to presentations post conference; 8 CPD Points.
Sponsorship
Raise Your Profile, Showcase Your Solutions, Generate New Business
If your products, services, and solutions can support our audiences in their roles, and you want to make connections and generate new business with key stakeholders, decision makers, and influencers, then please contact us HERE
IMPORTANT: There are only a small number of sponsorship opportunities available to ensure maximum exposure and ROI – contact us today to secure your place.
Virtual vs F2F
Whilst F2F provide better options for networking, there are many distinct advantages of sponsoring our online conferences including:
- Wider geographical reach of delegates and a different audience who prefer online to f2f
- Lower sponsorship package costs
- No travel/accommodation
- Less time out of the office
- No stand materials required (lower costs)
- 1 of only 2 sponsors involved – less competition on the day
- Prime speaking slot in the morning of the conference including Q&A – less distractions and easier for delegates to hear/absorb information
- Receive all delegate data after the conference to follow-up directly with those who attend and don’t attend (small % but still key stakeholders)
- Ongoing exposure via OnDemand access
To find out more and discuss your specific objectives, please contact us below:
