NHS Artificial Intelligence Virtual Congress

Digital Infrastructure & Security

10:30 am
25 Aug, 2020
Virtual Event: GoTo

NHS Artificial Intelligence Virtual Congress

Digital Infrastructure & Security

10:30 am
25 Aug, 2020
Virtual Event: GoTo

NHS Artificial Intelligence Virtual Congress

What is Artificial Intelligence?

“Artificial Intelligence (AI) can be summarised as an intelligent system that has problem-solving skills and takes the best possible action in a given situation”

April 2019 saw the development of NHSX which was developed to support the NHS in becoming the world's most technically advised healthcare provider, the organisation brings together some of the most well recognised and celebrated digital, cyber and data experts from across the world.

NHSX has now partnered with the Accelerated Access Collaborative to outline a strategic plan for the implementation of AI within the NHS, the key plan aims to include:

  • Improve cancer screening and speed up results
  • Use DNA data to identify patients most at risk of diseases
  • Upskill the workforce to use artificial intelligence (AI) systems
  • Automate routine administrative tasks to free up clinicians

In recent months we have seen a significant increase in AI-related systems being used in the health service, At the start of the year, AI was used for the first time to instantly and accurately measure blood flow, helping to predict the chances of death, heart attacks and strokes.

Also, an AI platform is being used to help lead the fight against antibiotic resistance by helping NHS clinicians prescribe the most appropriate antibiotic for each individual patient.

As a part of the Convenzis Group Virtual Series, we will be hosting the UK’s first, fully virtual NHS Artificial Intelligence Conference, we will hear from some of the leading AI experts in the UK and further afield while networking and sharing best practices throughout the day.

The NHS Artificial Intelligence Virtual will offer:

  • Guest speaker sessions
  • Round table streams
  • Exhibition areas
  • Fully immersive peer to peer networking
  • Live polls and Q&A sessions
  • + Much more!

Register your place today for a front-row seat through the world of Healthcare Artificial Intelligence and the future of NHS care.

Research sources for NHS Artificial Intelligence Virtual: NHS England, DigitalHealth.net, NECS

We are advising ALL attendees to attend the event via personal laptop or mobile device (Non-NHS Device)

We have noticed that NHS Devices are making it more difficult to view event content.

To maximise the chances of viewing content:

  • Attend via a NON-NHS Device
  • Attend the event via the Convenzis APP (where possible)
  • Connect via your personal WI-FI (NON-NHS)
  • Attend the online platform via the google chrome web browser

Who will Attend

  • Chief Information Officers
  • Chief Technology Officers
  • Clinical Directors/Heads/Managers/Leads
  • Commissioning Directors/Heads/Managers
  • Communications Directors/Heads/Managers
  • Digital Directors/Heads/Managers
  • Digital Inclusion Directors/Heads/Managers
  • Digital Strategy Directors/Heads/Managers
  • Engagement Directors/Heads/Managers
  • Governance Directors/Heads/Managers
  • Informatics Directors/Heads/Managers
  • Information Assurance Directors/Heads/Managers
  • Information Management Directors/Heads/Managers
  • Innovation Directors/Heads/Managers
  • IT Directors/Heads/Managers
  • IT Security Directors/Heads/Managers
  • Performance Directors/Heads/Managers
  • Policy Directors/Heads/Managers
  • Programme/Project Directors/Heads/Managers
  • Radiology Consultants/Heads
  • Service Directors/Heads/Managers
  • Strategic Planning Directors/Heads/Managers
  • Transformation Directors/Heads/Managers

Speakers

Dominic Cushnan

NHSX

Specialist advisor AI and Digital Health

Dr Ivan De Backer

IDTechEx

Technology Analyst

Dr Mike Fisher

Liverpool & Broadgreen University Hospital NHS Trust

Consultant Cardiologist & Chief Clinical Information Officer

Eleonora Harwich

REFORM

Director of Research & Head of Digital and Tech Innovation

Jeroen van Duffelen,

Aidence

COO & Co-Founder

Lizzie Barclay

Aidence B.V.

Medical Director

Neil Daly

Skin Analytics

Founder and CEO

Richard Jones

C2-Ai

Chief Commercial and Strategy Officer

Sponsors & Partners

The programme

10:45

Registration and Networking

10:50

The NHS AI Lab – Enabling the safe adoption of AI in health and care

Dominic Cushnan
Specialist advisor AI and Digital Health
NHSX
The NHS AI Lab was announced one year ago to accelerate the safe adoption of Artificial Intelligence in Health and Care. It brings together government, the NHS, academics and technology companies to help tackle some of the toughest challenges in health and care. NHSX will provide an update on the AI Lab programmes which have been set up to support the development and scaling of promising AI solutions, clarify the ethical and regulatory frameworks for innovation and create environments to test the safety and efficacy of AI technologies.

11:10

Revolutionising management of avoidable harm. How AI is helping reduce mortality and accelerate the journey to a COVID-19 vaccine.

Richard Jones
Chief Commercial and Strategy Officer
C2-Ai
Avoidable harm and mortality cost the NHS £2bn annually to fix, but the actual figure is likely to be far higher as monitoring/reporting in a typical hospital only picks up 10% of what the World’s most sophisticatedAI-backed systems can detect. This presentation will include ground-breaking insights into Covid-19 mortality and how it can be managed better.

11:30

Morning Networking and Panel Discussions

Richard Jones
Chief Commercial and Strategy Officer
C2-Ai
Morning Networking and Panel Discussions Richard Jones, C2-Ai, Covid-19 – Understanding where the problems lie and how to fix them

12:00

Navigating clinical information with AI: Case Study

Dr Mike Fisher
Consultant Cardiologist & Chief Clinical Information Officer
Liverpool & Broadgreen University Hospital NHS Trust
In a pioneering pilot project, Liverpool NHS FT is using artificial intelligence to help doctors make decisions about a patient’s care by rapidly accessing published data, evidence and guidance and making recommendations tailored to individual patient’s medical needs. This provides patients with the most effective treatment, helping them get better quicker.

12:20

AI-assisted thoracic radiology: supporting the transformation of NHS imaging services

Lizzie Barclay
Medical Director
Aidence B.V.
Aidence are working with NHS sites to support the NHS’s long term plan to increase early diagnosis of lung cancer, and improve patient outcomes. Aidence’s deep learning-based software, Veye, automatically detects, measures and tracks the growth of lung nodules over time, assisting clinical decision making and guideline-driven management plans.

12:40

Networking and Panel Discussions

Richard Jones
Chief Commercial and Strategy Officer
C2-Ai
Networking and Panel Discussions Richard Jones, C2- Ai, Avoidable harm – how do we implement the right systems more quickly?

13:10

Regulation of AI in the NHS

Eleonora Harwich
Director of Research & Head of Digital and Tech Innovation
REFORM
In late 2018, Matt Hancock, Secretary of State for Health and Social Care, set out his vision for the creation of a tech-driven NHS and for the UK to become a world leader in healthcare technologies. This field is indeed booming. In healthtech alone there are almost 4,000 companies operating in the UK, with a £24 billion industry turnover. Central to making this vision a reality is smart regulation. Unfortunately, regulation is often viewed as a burden or barrier to innovation. In the area of data-driven innovation in healthcare, regulation can be particularly confusing to navigate as there are many rules and bodies involved in the process. This presentation will highlight some of the findings of an award-winning research project that Reform produced in collaboration with NHSX on the topic of the regulation of data-driven technologies in England.

13:30

AI in medical diagnostics – An impending revolution?

Dr Ivan De Backer
Technology Analyst
IDTechEx
In the mid-2010s AI-driven image analysis was transformed by the introduction of deep learning (DL), which triggered unprecedented performance leaps and enabled the development of automated, accurate, accessible, and cost-effective medical diagnostics. These advancements laid the groundwork for commercial growth in the short and long term, as is shown in IDTechEx’s market projections for total scan volumes per disease type (Figure 1). Between 2020 and 2040, AI usage in medical image diagnostics is anticipated to grow by nearly 10,000%. IDTechEx’s detailed market penetration forecasts indicate that an inflexion point, as an average across all categories, is likely to occur around 2023-2025.

13:50

Networking and Panel Discussions

Richard Jones
Chief Commercial and Strategy Officer
C2-Ai
Networking and Panel Discussions Richard Jones, C2- Ai, Elective surgical triage – how do we get back to ‘normal’ while minimising harm and mortality among patients

14:20

Case Study

Neil Daly
Founder and CEO
Skin Analytics
Case Study Neil Daly (Confirmed) Founder & CEO at Skin Analytics

15:00

Networking and Panel Discussions

Networking and Panel Discussions

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