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  • Wednesday 11th
  • 07:30 - 09:20
    REGISTRATION DAY ONE – Wednesday 11th September 2024
  • 09:20 - 09:30
    WELCOME and chairs’ opening remarks Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation

  • 09:30 - 09:35
    WELCOME to Basel Dr Lukas Engelberger, Cantonal Councillor and Head of the Department of Public Health Basel-Stadt
    • Dr Lukas Engelberger, Cantonal Councillor and Head of the Department of Public Health Basel-Stadt

  • 09:35 - 10:00
    HEADLINER: Digital innovation for precision medicine in healthcare Laura Matz, Chief Science & Technology Officer, Merck KGaA

    Precision medicine is transforming healthcare through the integration of AI in drug discovery and data collaboration platforms. These technologies are personalizing treatments, streamlining drug development, and enhancing collaboration across the scientific community. Join Dr. Laura Matz as she explores how these innovations are setting new standards in delivering precise, personalized care through a unified, data-driven approach

    • Laura Matz, Chief Science & Technology Officer, Merck KGaA

  • 10:00 - 10:20
    HEADLINER: Solving a 1.4 billion problem Dr Alexander Ng, President, Tencent Healthcare

    Providing universal health coverage (UHC) to 1.4 billion people is a tall order by any means, especially when dealing with an aging population, predominantly burdened by non-communicable disease, and a still-developing primary care system makes the task more unimaginable. Tencent leverages its reach, connectivity, and AI capabilities to empower individuals and families to better understand and manage their own health, and to support healthcare institutions in providing an AI-integrated service experience to change the efficiency equation. Embracing technology to solve pain points along the patient journey is an important step towards achieving a digitally-enabled UHC

    • Dr Alexander Ng, President, Tencent Healthcare

  • 10:30 - 10:45
    HEADLINER: Harnessing AI for innovation & improvements in care delivery John Marshall, CEO, Airia

    AI holds undeniable potential for healthcare, but you must be prepared to address the substantial challenges and risks that comes with it. This session will discuss the unique risks that come with AI as well as proven strategies you can immediately action in your organization.

    • John Marshall, CEO, Airia

  • 10:45 - 11:15
    REFRESHMENTS & NETWORKING
  • INTELLIGENT HEALTH: PLENARY
    • 11:15 - 11:35
      HEADLINER: From innovation to impact: Redefining patient aftercare with generative AI  Antonio Russo, Partner, Innovation, Strategy and Analytics Lead, Deloitte 
      Mathieu LeBreton, Digital Experience Lead, Hospital of Ottawa

      How is generative AI (GenAI) transforming the patient experience, creating a future where technology and care converge? Discover how human-like virtual assistants, powered by large language models (LLMs), are addressing staffing shortages and reshaping post-hospital aftercare. We will discuss a practical use case where digital teammates complement healthcare professionals to provide personalised care, continuous monitoring, and real-time support, enabling patients to manage their health effectively at home. Learn how GenAI facilitates a smooth transition from hospital to home, improving efficiency and patient outcomes.

      • Antonio Russo, Partner, Innovation, Strategy and Analytics Lead, Deloitte 

      • Mathieu LeBreton, Digital Experience Lead, Hospital of Ottawa

    • 11:35 - 12:15
      PANEL DISCUSSION: Integrating Generative AI and LLMs into existing workflows whilst balancing risk and opportunity effectively Moderator:
      Lucas Scherdel, Neuroscientist, Health Tech Executive and Board Advisor
      Panellists:
      Felice Burn, Head of Artificial Intelligence & Data Science, Kantonsspital Aarau AG
      Bill DeWeese, CTO, Airia
      Sara Schmachtenberg, PhD, Head of Data & Analytics, Galen Growth
      • Weighing the models’ significant potential against a requirement for careful consideration and appropriate utilisation to ensure safety and effectiveness.
      • Interoperability and the integration of large language models into clinical practice, focusing on information retrieval and decision support.
      • When used correctly, generative AI can enhance equity by improving access to information for diverse populations, countering racial bias, and promoting inclusivity.
      • Moderator:

      • Lucas Scherdel, Neuroscientist, Health Tech Executive and Board Advisor

      • Panellists:

      • Felice Burn, Head of Artificial Intelligence & Data Science, Kantonsspital Aarau AG

      • Bill DeWeese, CTO, Airia

      • Sara Schmachtenberg, PhD, Head of Data & Analytics, Galen Growth

    • 12:15 - 12:35
      HEADLINER: Responsible use of AI in an integrated care setting to drive value-based healthcare Manuel Bosch Arcos, Chief Transformation Officer, Ribera Salud

      Examining real-world examples of using data and artificial intelligence to improve health outcomes and promote personalized, population-based quality care

      • Manuel Bosch Arcos, Chief Transformation Officer, Ribera Salud

    • 12:35 - 12:55
      HEADLINER: Intersecting frontiers: Genomics and AI in prenatal care Noam Shomron, Professor of Genomics, Tel Aviv University

      Discover the convergence of genomics and AI in prenatal diagnosis, where progress drives remarkable precision and foresight. Experience groundbreaking research from Tel Aviv University as this presentation unveils a revolutionary noninvasive method for detecting genetic disorders in fetuses as early as 10 weeks into pregnancy. Find out first-hand how this cutting-edge algorithmic approach utilises a simple blood test to sequence small amounts of DNA derived from both parents, enabling unparalleled accuracy in predicting mutations.

      • Noam Shomron, Professor of Genomics, Tel Aviv University

  • TRACK 1: AI UNDER THE HOOD: WORKSHOPS
    • 11:00 - 12:00
      WORKSHOP 1: Navigating AI compliance in medical devices: Insights into AI experts' involvement in EU MDR 2017/745 assessments Alberto Alvarez, AI Technical Specialist, BSI
      Andrea Sanino, Senior Product Manager, Artificial Intelligence, BSI

      With the introduction of the new EU AI Act, there are expected changes in the compliance process for medical devices that include an AI component. It’s crucial to understand the role of the AI expert in the conformity assessment process under the MDR regulation and how adherence to the SoA standards fits in light of the new AI Act.

      • Alberto Alvarez, AI Technical Specialist, BSI

      • Andrea Sanino, Senior Product Manager, Artificial Intelligence, BSI

    • 12:00 - 13:00
      WORKSHOP 2: The art of scaling AI use-cases Antonio Russo, Innovation Leader and Partner, Head of Analytics & Cognitive, Deloitte Switzerland

      Join this interactive workshop for an opportunity to shape and scale AI use-cases that deliver a positive impact to the Health sector. The workshop will explore a range of use cases by topics, shedding light on how AI can revolutionise drug discovery, precision medicine, patient care personalisation, but also organisations’ operations and transformation, and more.    

      Engage with coaches from Deloitte and soundboard ideas with like-minded professionals. Take with you valuable insights and actionable strategies tailored to your specific organisational needs.   

      • Antonio Russo, Innovation Leader and Partner, Head of Analytics & Cognitive, Deloitte Switzerland

  • 12:55 - 13:50
    LUNCH & NETWORKING
  • INTELLIGENT HEALTH: PLENARY Chair:
    Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • 13:50 - 14:10
      HEADLINER: AI is 'Learning Healthcare' at Northwell Health Dr Sophia Saleem, Chief Medical Information Officer, Ambulatory, Northwell Health

      Artificial Intelligence is now sophisticated enough to participate in health care. In an industry where patient safety and quality care delivery are the utmost priority, using AI in a responsible yet impactful way is top of mind in many health systems. At Northwell, we continue to push the boundaries on what generative and predictive AI can do for our patients, our providers, and for healthcare delivery. This talk will summarize some of the major AI initiatives underway at Northwell Health and review a few exciting AI opportunities in development for our patients. It is not every day that a technology like Artificial Intelligence is made available to the world. Northwell is seizing this opportunity to further its mission to ‘raise health‘.

      • Dr Sophia Saleem, Chief Medical Information Officer, Ambulatory, Northwell Health

    • 14:10 - 14:30
      HEADLINER: AI-Powered Education Professor Shafi Ahmed, Futurist and Innovator - Consultant Surgeon, Barts Health NHS Trust - CEO, Medical Realities

      Education is undergoing transformational change by introducing large language models and AI assessments. This will allow the scaling of democratisation of medical education which will help the global healthcare workforce and skill shortages. This keynote will unravel the technologies and demonstrate use cases for the future medical learner.

      • Professor Shafi Ahmed, Futurist and Innovator - Consultant Surgeon, Barts Health NHS Trust - CEO, Medical Realities

    • 14:30 - 14:50
      HEADLINER: Striving for simplicity: Finding the sweet spot in medical device development Stephan Wyder, Project Lead, Helbling Technik

      The quote “Everything should be made as simple as possible, but not simpler”, attributed to Albert Einstein, resonates with the challenges of medical device development. In our talk, we explore how to strike the right balance between algorithm simplicity and complexity when developing novel, virtual reality-based methods to test visual function

      • Stephan Wyder, Project Lead, Helbling Technik

    • 14:50 - 15:30
      PANEL DISCUSSION: Navigating the AI regulatory landscape to ensure organizational readiness for AI adoption and encourage technological innovation Moderator:
      Erik Luysterborg, Data Protection & Privacy Lead Partner, Deloitte
      Panellists:
      Anke Arnold-Tugulu, PhD, UP, Chief Regulatory Officer, Azafaros Switzerland AG
      David Christen, Head Digital Health Engineering, Gerresheimer AG
      John Olwal, Global Head Digital Ethics and Compliance, Takeda
      • What challenges and opportunities do AI and data governance pose to the healthcare sector? Arrangements that comply with regulations like HIPAA, ensuring patient privacy and security.
      • What impact will it have on the development and implementation of AI in healthcare practice?
      • Best practice for establishing robust digital governance frameworks.
      • Moderator:

      • Erik Luysterborg, Data Protection & Privacy Lead Partner, Deloitte

      • Panellists:

      • Anke Arnold-Tugulu, PhD, UP, Chief Regulatory Officer, Azafaros Switzerland AG

      • David Christen, Head Digital Health Engineering, Gerresheimer AG

      • John Olwal, Global Head Digital Ethics and Compliance, Takeda

    • 15:30 - 15:55
      HEADLINER: Smart Hospitals: Shaping population health and value-based care with digital mastery Tamara Sunbul, Medical Director of Clinical Informatics, Johns Hopkins Aramco Healthcare (JHAH)

      Smart hospitals, empowered by AI, machine learning, and telehealth solutions, are shifting from reactive medical models to proactive, preventive, and personalized healthcare strategies. Leveraging data analytics and predictive modeling enables them to optimize resource allocation, anticipate patient needs, and deliver superior care quality.

      Eliminating data silos and enhancing interoperability across health services are crucial for comprehensive patient profiling and coordinated care delivery to transition towards value-based healthcare. We will look at integrating these technologies while addressing the ethical challenges of digital transformation. By adopting these practices, smart hospitals can become leaders in achieving improved patient outcomes and fostering healthier communities through effective, value-based care.

      • Tamara Sunbul, Medical Director of Clinical Informatics, Johns Hopkins Aramco Healthcare (JHAH)

  • TRACK 1: INNOVATION STAGE: AI HEALTH TRANSFORMERS Chair:
    Iris Himmelhan, Forum Lead, Etheros HealthData Foundation
    • 13:50 - 14:10
      INNOVATION INSIGHT: Necrobotics 360: Innovating tomorrow's healthcare landscape Dr Raul V. Rodriguez, Vice President, Woxsen University

      Explore how Necrobotics 360 is reshaping the future of healthcare with its visionary integration of cutting-edge AI technologies. This transformative initiative combines AI, machine learning, data analytics, and advanced robotics to elevate healthcare delivery standards. Emphasising collaboration, data interoperability, and ethical principles, Necrobotics 360 envisions a future where AI-driven solutions streamline clinical processes, enhance diagnostics, revolutionise patient care practices, and contribute to the development of a more efficient, compassionate, and technologically advanced healthcare ecosystem.

      • Dr Raul V. Rodriguez, Vice President, Woxsen University

    • 14:10 - 14:30
      INNOVATION INSIGHT: Using AI to streamline & scale skin cancer detection Haider Raza, Senior Lecturer (Associate Professor), University of Essex

      Having run a teledermatology service since 2018, Check4Cancer (C4C) has collected over 100,000 digital & dermoscopic images with associated clinical data & biopsy results. By collaboration with the University of Essex, & funding from Innovate UK, C4C has built an App to take high quality images at home, as well as an AI model to allow scalability of the skin cancer pathway. After only 15 months of development, model performance for skin cancer detection has surpassed that of published results on human reporting, with a sensitivity for skin cancer detection >99% for each of the 3 main skin cancer subtypes. From 23 pieces of clinical information per patient, a novel weighted risk score based on 7 key clinical features has been developed which, has provided a significant gain in AI model performance

      • Haider Raza, Senior Lecturer (Associate Professor), University of Essex

    • 14:30 - 14:50
      INNOVATION INSIGHT: Elevating decision-making in pharma with AI: Applications and Use Cases Panos Karelis, Director of Customer Experience & Insights, Intelligencia AI

      AI is here to stay. Are you currently tapping into its power to innovate and stay ahead of the competition? During this session, you’ll hear about a few business applications where AI can elevate current processes in pharma while fitting into your workflow and driving innovation

      • Panos Karelis, Director of Customer Experience & Insights, Intelligencia AI

    • 14:50 - 15:10
      INNOVATION INSIGHT: MediCrawl: an ML-based app to enable market oversight within Swissmedic Dr Nicolas Löffler-Perez, Data Scientist, Swissmedic 4.0, the innovation unit from Swissmedic

      Swissmedic is the National Authorisation and supervisory authority for drugs and medical products. It ensures high-quality, safe and effective medical products. As part of its mandate, Swissmedic regularly oversees online markets in the search for illegal medicinal products. This search is time consuming as well as resource intensive. To optimize this workflow, MediCrawl was developed by the innovation team within Swissmedic. MediCrawl is a machine learning-based platform developed in the Cloud that allows a centralized analysis of products of interest found online. These products are collected via crawling and are later presented to Swissmedic specialists. After two years of development, our results with MediCrawl are promising and a more permanent implementation in Swissmedic is underway as well as an international collaboration for this tool

      • Dr Nicolas Löffler-Perez, Data Scientist, Swissmedic 4.0, the innovation unit from Swissmedic

    • 15:10 - 15:30
      INNOVATION INSIGHT: Using Real-World Data and AI to understand and personalize depression treatment Joseph Zabinski, PhD, MEM, VP, Head of Commercial Strategy & AI, OM1

      In this session, we will explore how real-world healthcare data and artificial intelligence can provide insight into major depressive disorder (MDD) patients’ journeys.  Based on OM1’s recent work within MDD and associated treatment resistance, we will explore how RWD and AI  are being harnessed end-to-end from the initial stages of large-scale data gathering, through dataset enhancement based on unstructured clinical narratives, and advanced digital phenotyping for patient identification and personalized treatment assessments. Learn how these tools can be used to understand population health and implemented within care workflows to improve visibility, maximize patient engagement, and enhance clinical decision support

      • Joseph Zabinski, PhD, MEM, VP, Head of Commercial Strategy & AI, OM1

  • 15:55 - 16:10
    REFRESHMENTS & NETWORKING
  • INTELLIGENT HEALTH: PLENARY Chair:
    Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • 16:15 - 16:40
      HEADLINER: Beyond the hype: Responsible AI as the weapon to dismantle health disparities Rohan Goswami, Director - Heart Transplant Research and Innovation, Mayo Clinic

      This talk will focus on the utilization and application of AI in health equity and responsible AI as we evolve to integrate more technology (visible and invisible) in the realm of patient care

      • Rohan Goswami, Director - Heart Transplant Research and Innovation, Mayo Clinic

    • 16:40 - 17:15
      HEADLINE PANEL DISCUSSION: Balancing innovation with cost and access: Why ensuring a people-first approach when identifying what problem we aim to solve helps to identify the appropriate technological solution Moderator:
      Lucas Scherdel, Neuroscientist, Health Tech Executive and Board Advisor
      Panellists:
      Margrietha Greet Vink, Director of the Smart Health Tech Center (SHTC), Erasmus Medical Center
      Karine Lavoie, Head of Partnerships and Programs Development, International Council of Nurses
      Dr Alexander Ng, President, Tencent Healthcare
      Massimo Rigodanza, VP, Head of Technology Advanced Therapies, The Janssen Pharmaceutical Companies of Johnson & Johnson
      • Moderator:

      • Lucas Scherdel, Neuroscientist, Health Tech Executive and Board Advisor

      • Panellists:

      • Margrietha Greet Vink, Director of the Smart Health Tech Center (SHTC), Erasmus Medical Center

      • Karine Lavoie, Head of Partnerships and Programs Development, International Council of Nurses

      • Dr Alexander Ng, President, Tencent Healthcare

      • Massimo Rigodanza, VP, Head of Technology Advanced Therapies, The Janssen Pharmaceutical Companies of Johnson & Johnson

  • 17:15 - 17:40
    HEADLINER: Building a successful Learning Loop with Data and ML/AI Scott Oloff, Executive Leader, Roche pRED

    In this talk Scott will discuss the essentials to establish an effective learning loop through Data Engineering, ML/AI, and Automation.  He will review some of the historical inflection points that have advanced the field and things to look forward to in the future.

    • Scott Oloff, Executive Leader, Roche pRED

  • 17:40 -
    CLOSE OF SUMMIT DAY ONE
  • Thursday 12th
  • 08:00 - 09:00
    REGISTRATION DAY TWO – Thursday 12th September 2024
  • 09:20 - 09:30
    WELCOME and chairs’ opening remarks Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation

  • 09:30 - 10:05
    HEADLINER: Transforming Healthcare with Technology and AI: An Evolving Journey Rohit Chandra, Chief Digital Officer, Cleveland Clinic

    The capabilities of technology and AI are advancing at a breath-taking pace, and there is a unique opportunity  to leverage them for healthcare transformation. In this presentation we will share how we at the Cleveland Clinic are embracing these emerging technologies to drive towards a safer and more efficient healthcare landscape.

    • Rohit Chandra, Chief Digital Officer, Cleveland Clinic

  • 10:05 - 10:50
    PANEL DISCUSSION: AI and the future workforce: A force for good or a threat to the current status quo? Moderator:
    Annieck de Vocht, Lead Swiss Healthcare Practice, Deloitte
    Panellists:
    Felice Burn, Head of Artificial Intelligence & Data Science, Kantonsspital Aarau AG
    Peter Van Ooijen, Professor of AI in Radiotherapy, University Medical Center Groningen
    Sofia Couto da Rocha, Head of Innovation & Head of Virtual Client, Lusíadas Saúde
    • Numerous challenges regarding the organizational structure and culture that support AI, necessitate digital literacy and maturity within the workforce. 
    • How do we continually upskill our workforce to adopt these technologies and operationalize them? 
    • Backlog in imaging due to a shortage of radiologists. 
    • Technology is essential in addressing this backlog across various imaging modalities such as X-rays, ultrasounds, CT, and MRI scans. 
    • Burnout among radiologists is also a significant concern, even with technology aimed at easing their workload.
    • AI education is paramount. It’s not just healthcare; AI will permeate every aspect of society, so it’s crucial to educate all healthcare workers
    • Programs for medical students to learn about AI and various methods to train them in this field
    • Educational tools, to equip future healthcare professionals with knowledge about AI and how to use it effectively
    • Questions about how AI impacts job attractiveness and the evolving role of leadership in the digital age have come to the forefront. Leaders are now tasked with nurturing qualities like empathy and resilience to navigate the complexities of technological integration effectively.
    • Significant changes in our workforce due to advancements like AI, which necessitates a comprehensive approach to workforce planning in healthcare and educational curriculum development in every country
    • Moderator:

    • Annieck de Vocht, Lead Swiss Healthcare Practice, Deloitte

    • Panellists:

    • Felice Burn, Head of Artificial Intelligence & Data Science, Kantonsspital Aarau AG

    • Peter Van Ooijen, Professor of AI in Radiotherapy, University Medical Center Groningen

    • Sofia Couto da Rocha, Head of Innovation & Head of Virtual Client, Lusíadas Saúde

  • 10:55 - 11:25
    REFRESHMENTS & NETWORKING
  • INTELLIGENT HEALTH: PLENARY Chair:
    Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • 11:25 - 11:45
      HEADLINER: AI foundation models in surgery: Future directions and global impact Ozanan Meireles, Vice Chairman of Innovation, Department of Surgery, Duke University School of Medicine; Director, Surgical Artificial Intelligence and Innovation Laboratory (SAIIL)

      This session will explore the development of AI foundation models in surgery, their potential future applications, and the critical need for benchmarking to ensure these models are trustworthy and ethical. We’ll also highlight the importance of building a large, international, and diverse community to drive this vision forward and apply its outputs in a meaningful way.

       

      • Ozanan Meireles, Vice Chairman of Innovation, Department of Surgery, Duke University School of Medicine; Director, Surgical Artificial Intelligence and Innovation Laboratory (SAIIL)

    • 11:45 - 12:25
      PANEL DISCUSSION: Leveraging AI in the continuum of care, from treatment discovery to patient access Moderator:
      Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
      Sebastian Bohl, VP, Head of New Product Planning and Portfolio Expansion Fertility, Healthcare Business of Merck
      Chris Guyer, Group Vice President for North America and Europe, RxPx
      Dr Isabelle Widmer, CEO and Founder, Elytra

      This session focuses on how AI can be used to dismantle barriers within the healthcare continuum, from treatment discovery to patient access. We will discuss how AI-driven solutions can enhance drug discovery, streamline clinical processes, and facilitate fit for purpose patient support. Join us to learn how AI can be used to break down barriers and reshaping patient care for a more inclusive and effective healthcare system, and how pharma can contribute to this

      • Moderator:

      • Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation

      • Sebastian Bohl, VP, Head of New Product Planning and Portfolio Expansion Fertility, Healthcare Business of Merck

      • Chris Guyer, Group Vice President for North America and Europe, RxPx

      • Dr Isabelle Widmer, CEO and Founder, Elytra

    • 12:25 - 12:45
      HEADLINER: Artificial Intelligence in Pediatric Medicine: Prediction, Prevention, Personalization Shelby Kutty MD, PhD, MHCM, Helen Taussig Professor, Johns Hopkins Hospital and University

      Dr. Kutty will briefly introduce some of the most medically useful algorithms in pediatrics including support vector, decision trees and their ensembles, and neural networks. This will be followed by examples of AI in pediatric imaging, outcome prediction and clinical decision support (CDS). Next, ‘big data’ will be defined to show how deep learning is particularly well suited to handle its complex or continuous input, and the big data concept of omics will be introduced. This will lead to examine the enormous potential for personalizing pediatrics through generative AI, predictive treatment allocation and clinical trial design, followed by an overview of the challenges to general implementation. The talk will highlight how pediatrics of the future will be more data-driven than what it is today and why personalized pediatric care empowered by AI will be in its rise. Medical education will have greater emphasis on principles of preventive medicine, epidemiology, public health, statistics, and data science. Future care providers will be aiming for higher than simple universal consistency to comply with guidelines, and instead will reach for case-by-case quality outcomes.

      • Shelby Kutty MD, PhD, MHCM, Helen Taussig Professor, Johns Hopkins Hospital and University

  • 12:45 - 13:45
    LUNCH & NETWORKING
  • INTELLIGENT HEALTH: PLENARY Chair:
    Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • 13:45 - 14:05
      HEADLINER: Enabling better care, for more people, with AI Joland Rutgers, Vice President and Head of Innovation Excellence, Philips

      Around the world, healthcare is under immense pressure. Patient demand outstrips supply in many areas, patient experiences are falling far short of expectations and health systems are no longer able to deliver accessible, high-quality care consistently. AI can help us improve the future of healthcare by streamlining workflows and operations in the care settings, supporting clinicians with clinical insights, expanding the reach of patient care and enabling personalized self-care for patients. Many people can already feel the transformative effect of AI on healthcare. Data shows that 74% of healthcare leaders are already implementing, or plan to implement, AI in medication management and in remote patient monitoring, and 85% plan to invest in generative AI. Working in close collaboration with clinical and technological partners to develop AI-enabled solutions is essential to realising the full potential of this healthcare transformation and deliver better care to more people.

      • Joland Rutgers, Vice President and Head of Innovation Excellence, Philips

    • 14:05 - 14:25
      HEADLINER: Leading the way: How UMCG's AI chatbot is revolutionising patient communication Bart Scheerder, Business Developer Data Science & AI, University Medical Center Groningen Innovation Center

      Discover how University Medical Center Groningen leads the way in healthcare innovation by integrating an AI chatbot into its patient communication system. This groundbreaking AI application supports healthcare workers in managing written patient inquiries, resulting in notable improvements in efficiency and effectiveness within healthcare delivery processes. By alleviating administrative burdens, this innovation liberates valuable time for healthcare providers, allowing them to focus more on delivering direct patient care.

       

      • Bart Scheerder, Business Developer Data Science & AI, University Medical Center Groningen Innovation Center

    • 14:45 - 15:25
      PANEL DISCUSSION: Data readiness: defining and addressing what constitutes good data quality Moderator:
      Iris Himmelhan, Forum Lead, Etheros HealthData Foundation
      Panellists:
      Dr Magí Lluch-Ariet, Data Manager and Analyst, EIT Health
      Peter Grolimund, Board Member, Swiss Health Data Space
      Rachel Dunscombe, CEO, OpenEHR
      Joland Rutgers, Vice President and Head of Innovation Excellence, Philips
      • Exploring the correlation between quality data and AI
      • Implementing tactics to leverage quality data and AI for advancing healthcare innovation
      • How should these data issues be solved?
      • Growing focus on data readiness as many hospitals are transitioning towards open data practices to enhance their AI capabilities
      • Moderator:

      • Iris Himmelhan, Forum Lead, Etheros HealthData Foundation

      • Panellists:

      • Dr Magí Lluch-Ariet, Data Manager and Analyst, EIT Health

      • Peter Grolimund, Board Member, Swiss Health Data Space

      • Rachel Dunscombe, CEO, OpenEHR

      • Joland Rutgers, Vice President and Head of Innovation Excellence, Philips

  • 15:25 - 15:45
    REFRESHMENTS & NETWORKING Chair:
    Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation
    • Chair:

    • Caoimhe Vallely-Gilroy, Director of Strategy, DayOne, Basel Area Business & Innovation

  • 15:45 - 16:05
    HEADLINER: The interplay of secure AI and cyber security threat mitigation Sunil Dadlani, EVP, Chief Information & Digital Officer & Chief Cyber Security Officer, Atlantic Health System

    AI, Generative AI, and GANs offer powerful tools that can be harnessed for both constructive and destructive purposes. In the hands of nation-state actors, these technologies can enable highly sophisticated and scalable cyber operations that are difficult to detect, counter, or attribute. The potential for these technologies to be used in disinformation campaigns, cyberattacks, and psychological operations poses significant challenges to global security and stability. As AI continues to evolve, governments, organizations, and cybersecurity professionals need to develop strategies to defend against these emerging threats and to establish international norms and regulations to prevent the misuse of AI technologies.

    • Sunil Dadlani, EVP, Chief Information & Digital Officer & Chief Cyber Security Officer, Atlantic Health System

  • 16:05 - 16:45
    PANEL DISCUSSION: Advancing Responsible AI in healthcare: Insights from the TRAIN and SAIIL initiatives Moderator:
    Ozanan Meireles, Vice Chairman of Innovation, Department of Surgery, Duke University School of Medicine; Director, Surgical Artificial Intelligence and Innovation Laboratory (SAIIL)
    Panellists:
    Nasim Bergman Farrokhnia, SR Healthcare Executive, Microsoft Global Healthcare and Life Sciences Team
    Denise Hilling, Surgical Oncologist and Chief Scientific Officer, Erasmus MC Datahub

    This panel will explore the critical role of Responsible AI (RAI) in healthcare, with a focus on real-world applications from the TRAIN and SAIIL initiatives. We’ll discuss the challenges of operationalizing RAI principles, ensuring algorithm vigilance, and building robust governance models to mitigate bias and enhance safety. Panelists will also share their perspectives on collaboration across international healthcare systems and the importance of democratizing AI to improve healthcare access in low-resource settings.

    • Moderator:

    • Ozanan Meireles, Vice Chairman of Innovation, Department of Surgery, Duke University School of Medicine; Director, Surgical Artificial Intelligence and Innovation Laboratory (SAIIL)

    • Panellists:

    • Nasim Bergman Farrokhnia, SR Healthcare Executive, Microsoft Global Healthcare and Life Sciences Team

    • Denise Hilling, Surgical Oncologist and Chief Scientific Officer, Erasmus MC Datahub

  • 16:45 -
    CLOSE OF SUMMIT DAY TWO

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