CPD Accredited Programme

Intelligent Health UK 

24-25 MAY 2023

Event runs in (BST) British Summer Time 

 

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    START-UP SHOWCASE: Meet the innovators and disruptors of the digital health ecosystem to forge key partnerships that will fuel innovative AI deployment
  • Wednesday 24th
  • 07:30 - 09:00
    REGISTRATION
  • 09:00 - 09:05
    WELCOME Inspired Minds Sarah Porter, CEO and Founder, Inspired Minds, UN Advisor, LAWS Main Stage
    • Sarah Porter, CEO and Founder, Inspired Minds, UN Advisor, LAWS

  • 09:05 - 09:10
    WELCOME NHS AI Lab- NHS Transformative Directorate Main Stage
  • 09:10 - 09:20
    WELCOME and chairperson’s opening remarks Main Stage
  • 09:20 - 09:45
    HEADLINER: Leading digital change, interoperability and innovation Main Stage
  • 09:45 - 10:10
    HEADLINER (2) Main Stage
  • 10:10 - 10:35
    HEADLINER (3) Main Stage
  • 10:35 - 11:00
    HEADLINER Main Stage
  • 11:00 - 11:40
    MORNING REFRESHMENTS & NETWORKING
  • MAIN STAGE: PRACTICAL, REAL-WORLD AI USE CASES
    • 11:40 - 12:00
      KEYNOTE: Main Stage
    • 12:00 - 12:20
      USE CASE: Scaling AI projects in the NHS leading digital change, interoperability and innovation Main Stage

      An applied model on installing AI deployment engines, integrating with clinical systems and connecting to a worldwide network of people developing apps. Get insights on 45 projects in deployment with specific insights on policy and ethics – how do you get access to patients legally and ethically and how to safely deploy experimental devices

    • 12:20 - 12:40
      USE CASE: Transforming bowel cancer care through AI Exclusive insights from 9 participating trusts on COLO-DETECT Main Stage
  • WORKSHOPS - Join our hands-on workshops for practical exercises and to learn from leaders in the field
    • 11:40 - 12:40
      WORKSHOP 1: Educating the workforce: Building a practical roadmap for all healthcare workers having educational access to basic principles of AI Room 6

      Education is more than just the ‘how to’. It’s trust-build, empowering, and knowledge on streamlining. How can access be made easy? How can AI content be delivered in short, highly concise, practical ways? How can it be high-quality? What do we need to do and enable for it to be consumed in a world where clinicians have more backlogs and less breaks than ever? Education goes beyond the clinical pathways into stakeholder groups as well – current education is not enough for what we KNOW is coming. Hear insights on how we can facilitate better education now and prepare quality education for upcoming AI knowledge and application.

  • CHALLENGES: For entrepreneurs with a shared passion to innovate and solve real-world challenges, to help integrate AI and data driven technologies into health and social care
    • 11:40 - 12:40
      CHALLENGE 1: What does a mutually beneficial relationship in the NHS look like? Room 7

      Whilst data sharing, IP and commercialisation terms are established, how can existing flaws in agreements be addressed? How can agreements be more productive? A series of case studies of what works and what doesn’t as well as what makes a good hospital partner and industry partner

  • TABLE TALKS - Table Talks will be organised and facilitated by leaders chosen for their domain knowledge. Bringing together groups of qualified attendees to discuss a particular health concern, problem or opportunity to develop actionable strategies
    • 11:40 - 12:40
      TABLE TALK 1 Room 5
  • 12:40 - 13:40
    LUNCH & NETWORKING
  • MAIN STAGE: Harnessing the benefits of AI in health and care
    • 13:40 - 14:00
      KEYNOTE: NHS long-term plan - Reducing waiting lists across Cancer, Mental Health, Obesity, Autism and Primary Care Main Stage

      Using AI to help the NHS continue to innovate, recover from the pandemic and ease the backlog in care

    • 14:00 - 14:20
      KEYNOTE FIRESIDE CHAT: Where are the challenges and opportunities for physicians to use AI, for data driven thinking and adoption in hospitals? Main Stage
    • 14:20 - 14:50
      KEYNOTE: AI and robotics for surgical excellence Main Stage
    • 14:50 - 15:10
      KEYNOTE: Real-world implementation: AI in Radiology Main Stage

      Deep dive into the practical outcomes of digital intelligence in Radiology looking at the regulatory changes and guidelines. Gauge how platform tech can be effective and the potential value of using a platform, beyond functionality and regulatory – what can AI application DO?

    • 15:10 - 15:30
      USE CASE: Embedding AI into the system, clinician education and interpretation Main Stage
    • 15:30 - 15:50
      USE CASE: Procurement and Implementation of AI powered imaging biomarkers to enable precision medicine to improve diagnosis and treatment decisions for stroke and lung disease Main Stage

      Insights from the e-stroke platform and ILD (Insterstitial Lung Disease) solution

  • The NIHR Invention for Innovation Calls: Advice Clinic
    • 13:40 - 14:40
      The NIHR Invention for Innovation Calls: Advice Clinic Track 2

      The NIHR Invention for Innovation (i4i) Programme funds Research and Development of Medical Devices, In vitro Diagnostics and patient facing Digital Health Technologies (NICE Tier C) to support the pre-clinical and clinical development of medical technologies in areas of existing or emerging patient needs. This includes data-driven technologies based on AI and Machine Learning, wholly or in part.

       NIHR will be at Intelligent Health UK in May to answer any questions on the application process for upcoming calls that will be announced shortly.

  • WORKSHOPS: Join our hands-on workshops for practical exercises and to learn from leaders in the field
    • 13:40 - 14:40
      Workshop 2: AI fuelling the healthcare workforce Room 6

      How AI will impact workforce shortages and address the skills gap and how to mature the conversation around productive and longstanding relationships with industry

    • 14:50 - 15:50
      WORKSHOP 3: Tech enablement of preventative measures in public health Room 6
  • CHALLENGES: For entrepreneurs with a shared passion to innovate and solve real-world challenges, to help integrate AI and data driven technologies into health and social care
    • 13:40 - 14:40
      CHALLENGE 2: How can data collected through robotic surgery be used and accessed in multiple ways? Room 7

      This session will dive into AI use for skill assessment of surgeons, education and system functionality. 

      This consortium is designed to tackle the challenge around collection and use of data in robotic surgery

    • 14:50 - 15:50
      CHALLENGE 3: Identifying how pharma can fuel better use of AI in drug discovery Room 7

      This challenge digs deeper into the ineffectiveness of drug discovery when it comes to actual human use as hardly any work.  How can we more effectively identify better targets for drugs?

  • WORKSHOP 2A: Join our hands-on workshops for practical exercises and to learn from leaders in the field
    • 13:40 - 14:40
      Reserved for Partners
    • -
      START-UP SHOWCASE: Meet the innovators and disruptors of the digital health ecosystem to forge key partnerships that will fuel innovative AI deployment
    • 14:50 - 15:50
      START-UP SHOWCASE 3: Challenging the status quo Track 4

      Who’s driving change through brand-new ideas? Who has developed the next game-changer? What’s ‘the next big thing’ and which ideas are in incubation to drive innovation and digital transformation?

  • 15:50 - 16:10
    REFRESHMENTS & NETWORKING
  • 16:10 - 16:35
    CLOSING HEADLINER Main Stage
  • 16:35 - 17:10
    PANEL DISCUSSION How are you setting up an AI working group into the clinical pathway? Main Stage
  • 17:10 - 17:40
    PANEL DISCUSSION How are you paying for it? AI procurement in healthcare Main Stage

    Where will the financial liability lie, with the NHS or ICS? How are they going to do it, how much, and in what capacity?

  • 17:40 - 17:45
    CLOSE OF DAY ONE Main Stage
  • Thursday 25th
  • 07:30 - 09:00
    REGISTRATION
  • 09:00 - 09:05
    WELCOME Inspired Minds Main Stage
  • 09:05 - 09:15
    WELCOME and chairperson’s opening remarks Main Stage
  • 09:15 - 09:40
    IN-CONVERSATION Headliner interview by Kieran Walsh, Clinical Director, British Medical Journal Main Stage
  • 09:40 - 10:05
    HEADLINER Main Stage
  • 10:05 - 10:45
    PANEL DISCUSSION: AI - Breast cancer’s silver bullet - or is it? Main Stage

    AI often bears the pressure to find and diagnose cancer alone; to mitigate the shortage of experts or eliminate radiologists entirely, but is that where we are setting ourselves up for failure? Is there more value when AI is more closely integrated into the entire clinical routine from start to finish, and when it’s complemented by automation? Where can AIs power truly be harnessed and how do we move from debate to deployment faster? What are the ‘steps to success’? How can the techies and clinicians map AI into the clinical pathway for cancer effectively? What ‘failures’ can you prevent in your trust? Be part of 2023’s biggest debate with 360 insights on AI for breast cancer, from innovation and clinical deployment decisions to investment

  • 10:45 - 11:05
    KEYNOTE: Reimagining & Accelerating Health Equity, Access & Diversity Main Stage
  • 11:05 - 11:40
    REFRESHMENTS & NETWORKING
  • MAIN STAGE: PRACTICAL, REAL-WORLD AI USE CASES
    • 11:40 - 12:00
      USE CASE: Bringing advances in Radiology into clinical practice; physician services reimagined Main Stage

      Changing working dynamics to towards use of meaningful AI tech and a balanced physician workload – a realistic work model

    • 12:00 - 12:20
      USE CASE: Is AI ready to do the work of an experienced Radiologist? The next phase of leading work in Europe of optimum AI use Main Stage

      A use case on AI in breast care examining the accuracy of AI algorithms in comparison to results of the average Radiologist

    • 12:20 - 12:40
      USE CASE: Use Case: 40 robots. 100k screenings. One day Main Stage

      The Covid test line proved just 40 robots can test 100k samples of saliva a day. With track and trace of those samples within 4 hours and patient records updated within 8, the doors open to applying the same digital intelligence to prostate, cervical and ovarian cancer. 30 million AI assisted cancer screenings a year become game-changing. But what happens next with this ‘big data’ – and how is it narrowing the gap from information translation from data to diagnosis? Hear hard facts and a roadmap of how it’s being done from Covid to cancer.

  • WORKSHOPS: Join our hands-on workshops for practical exercises and to learn from leaders in the field
    • 11:40 - 12:40
      WORKSHOP 4: Radiology & AI Room 6

      Cost-benefit analysis on breast mammogram and chest x-ray readings for cancer from GPs; Insights from pilot studies, discussing evidence generation for AI use in real life

  • CHALLENGES: For entrepreneurs with a shared passion to innovate, by solving real-world challenges to help integrate AI and data driven technologies into health and social care
    • 11:40 - 12:40
      CHALLENGE 4: Best practices in buying and using tech safely and properly The first ever consortium of AI Boards across the country to benchmark best practices. Room 7

      Each Board Chair to open with three slides:

      1. Where i.e. sits within their hospital/trust e.g. IT, Radiology, Oncology
      2. What they do
      3. Performance so far

      This will be followed by 60 mins of discussion points on what resources we can collaborate on nationally, where AI is proven to sit most successfully (with Medical Director vs  IT Director, imaging  AI, medical AI, NLP)

  • 12:40 - 13:40
    LUNCH & NETWORKING
  • MAIN STAGE: Harnessing the benefits of AI in health and care
    • 13:40 - 14:00
      USE CASE: From 100,000 to 100,000,000 - scaling AI in mental health care to help human therapists improve quality of care Main Stage

      Using the data from 100k patients who have been treated to date with human clinicians in a virtual environment, how can it be done in a safe way and how is it being evidenced? What are the potential regulatory hurdles, the medical device status, and oversight required? Hear a practical use case on setting up a platform for clinicians to patients in secure environment, data gathering processes to facilitate care mentoring via AI with the ultimate goal to provide wider access and scale

    • 14:00 - 14:20
      USE CASE: Building a modern infrastructure for collaborative healthcare data science, machine learning and artificial intelligence Main Stage
    • 14:20 - 14:50
      IN-CONVERSATION Panel discussion: A proactive NHS – A moonshot or in line of sight? Main Stage

      How do you take the NHS forward from a reactive to a proactive environment? Unburdening ICSs from legacy health systems and fully embracing intelligent health initiatives that have already become embedded across multiple Trusts has meant the discussion is steering away from ‘if’ to ‘how?’ and fast. Hear the experts discuss significant clinical pathway transformations and process redesigns needed for leaders to embrace innovative tech that enables sustainable clinical and operational transformation at scale and pace. The experts dive into the ‘how’ behind converging clinical systems, sharing and accessing central data warehouses, building business intelligence platforms, and utilising data science resource effectively. Moving from the ‘in theory’ to the ‘what do you do with the collected data?’ and ‘how do you feed it back to the individual?’ to the genomics and preventative plans, all the hard and real questions get answered.

    • 14:50 - 15:10
      USE CASE: Use Case: Fast-tracked skin cancer assessment and treatment with AI decision support tools Main Stage

      Never shared before insights from the DERM pilot. This unmissable case study brings you the strategic, clinical and deployment leads that steered the DERM pilot in secondary care, used in addition to teledermatology hubs where images of skin lesions are captured to triage cases and find the most appropriate treatment pathway for each patient. DERM uses AI algorithms to analyse specialist magnified images of skin lesions so that patients can be assessed quickly and receive life-saving treatment promptly if required. Find out the exact challenges shared from a clinical perspective, the strategic decision making process, implementation timelines, processes and glitches with ‘must have’  pointers on adoption of AI in skincare at scale and tips on what to avoid

    • 15:10 - 15:30
      USE CASE: Main Stage
    • 15:30 - 15:50
      USE CASE: The Use of Artificial Intelligence in Orthopeadics Main Stage
  • WORKSHOPS: Join our hands-on workshops for practical exercises and to learn from leaders in the field
    • 13:40 - 14:40
      WORKSHOP 5: How to include data scientists into the workforce of our healthcare system Room 6

      Discussing the role data scientists and data analysts play in the workforce of our healthcare systems.

      How can data scientists and data analysts work effectively alongside clinicians and operational managers?

      What qualifications and skills are required and to retain the best ones?

  • CHALLENGES: For entrepreneurs with a shared passion to innovate, by solving real-world challenges to help integrate AI and data driven technologies into health and social care
    • 13:40 - 14:40
      CHALLENGE 5: Utilising ophthalmic data for early stage disease research Room 7

      This challenge brings in experts from Moorfields, as they hold the biggest data set and imagery, for diagnostic purposes as well as gauging how best to create synergy in the tech

    • 14:50 - 15:50
      CHALLENGE 6: Using and accessing data in rare diseases Room 7

      This challenge is set to  seek proactive solutions on the wealth of data that already exists on multiple systems and how to consolidate and use it on one platform, identifying how it should be used, for what purposes and what kind of system and management is required

  • START-UP SHOWCASE: Meet the innovators and disruptors of the digital health ecosystem to forge key partnerships that will fuel innovative AI deployment
    • 13:40 - 14:40
      START-UP SHOWCASE 5: Challenging the status quo

      Who’s driving change through brand-new ideas? Who has developed the next game-changer? What’s ‘the next big thing’ and which ideas are in incubation to drive innovation and digital transformation? 

  • 15:50 - 16:10
    REFRESHMENTS & NETWORKING
  • 16:10 - 16:35
    CLOSING HEADLINER Main Stage
  • 16:35 - 17:00
    CLOSING HEADLINER Main Stage
  • 17:00 - 17:00
    CLOSE OF INTELLIGENT HEALTH UK