Listeners:
Top listeners:
play_arrow
Paul Verschure on consciousness and distributed adaptive control CSN Podcasts
play_arrow
Edvard Moser on grid cells and entorhinal cortex CSN Podcasts
play_arrow
Giacomo Rizzolatti on mirror neurons and action understanding CSN Podcasts
play_arrow
Robert Axelrod on game theory and prisoner's dilemma CSN Podcasts
play_arrow
Adrian Owen on disorders of consciousness and vegetative state CSN Podcasts
play_arrow
Jonathan Whitlock on markerless motion capture and posterior parietal cortex CSN Podcasts
play_arrow
Luis Puelles on neuroanatomy and prosomeric model CSN Podcasts
play_arrow
Zoltan Molnar on subplate neurons and cortical development CSN Podcasts
Episode 5 30.03.2021
play_arrow
PLAY EPISODE
The healthcare system is on the brink of collapse , not from disease but from cost. Alexander Nuyken, EY’s Life Science Strategy Leader, explains how digital health is forcing an unprecedented collaboration between doctors, tech companies, hospitals, and patients, and why the stakeholders who resist this transformation will be the ones who disappear. Subscribe for more episodes on how collaboration reshapes industries. In this second conversation, Alexander Nuyken shifts from financial transactions to the digital transformation of healthcare , a domain where collaboration is not optional but existential. The current system of brick-and-mortar hospitals, in-person diagnostics, and fragmented patient data is economically unsustainable. Digital health offers a path forward, but only if radically different stakeholders learn to work together. Nuyken identifies three areas where digital health creates transformative value. First, data aggregation: the massive amounts of health data generated daily in hospitals and through patient activities are almost entirely lost. When aggregated across millions of patients, this data reveals patterns in disease development, treatment efficacy, and risk factors that individual doctor-patient interactions cannot capture. The diabetes example illustrates how correlating eating behavior with disease outcomes could enable preventive intervention at a stage when lifestyle changes still matter. Second, remote monitoring: keeping patients in their homes rather than warehousing them in expensive hospital infrastructure reduces costs while improving quality of life. Continuous monitoring of rehabilitation progress, disease trajectory, and vital signs can be conducted remotely, freeing hospital capacity for cases that genuinely require it. Third, diagnostic collaboration at global scale: connected telehealth solutions enable patients to consult the best experts anywhere in the world. Algorithms can handle the 995 out of 1,000 standard test interpretations, routing only the genuinely complex cases to human specialists , who might be in China, Finland, or the United States. The conversation addresses the resistance this transformation generates. Doctors face a dual threat: potential redundancy as AI handles routine diagnostics, and challenges to professional self-image when machine predictions contradict clinical judgment. Nuyken argues that doctors who view AI as a partner rather than a threat will be the ones who succeed , using technology to focus on complex cases while routine work is handled cost-efficiently. The collaboration challenge is structural. Healthcare involves an unusually complex stakeholder landscape: patients, doctors, hospitals, insurance companies, pharmaceutical firms, technology providers, and regulators , each with different incentives, timelines, and definitions of success. Digital health requires all of them to share data, align standards, and accept that their traditional roles will change fundamentally. On the question of impact, Nuyken is confident: digital health is already extending life expectancy through prevention, early monitoring, and better-informed treatment decisions. The trajectory is clear, even if the precise numbers are not yet measurable. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.
Tagged as:
collaboration digital health healthcare transformation
About the author call_made
Both the triumphs of humanity and its most evil deeds have resulted from collaboration. In a time where humanity is required to aspire to the former and minimize the latter, the question arises of how collaboration arises and why it fails. Surprisingly, this phenomenon, so central to who we are, is not well understood. Hence, a collaborative effort is required to understand collaboration in its full biological, psychological, sociological, cultural, and economic complexity and to translate this understanding into operational impact. This series of podcasts is one step toward achieving these complementary goals. The Collaboration Podcast presents interviews with people who are central orchestrators of collaboration in various domains including business, government, science, art, health, sustainability, and the military. The discussions were conducted by Prof. Dr. Paul F.M.J. Verschure and members of the Program Advisory Committee of the Ernst Strungmann Forum on Collaboration (https://www.esforum.de/forums/ESF32_Collaboration.html) during 2021 and had the goal to sketch a map of opportunities, challenges, and obstacles in human collaboration. The forum took place in May 2022, and now we would like to share this series of interviews with a broader audience. The full report of the Forum will be published in 2023 by MIT Press. The podcast was produced by the Convergent Science Network (https://www.convergentsciencenetwork.org/). Context: The stability of social systems depends critically on realizing sustainable methods of “collaboration,” yet how and by which means collaboration is achieved is not clearly understood; neither are the conditions or processes that lead to its breakdown or failure. Collaboration can be understood as cooperation between agents toward mutually constructed goals. Part of the reason for our lack of understanding is that the phenomenon of collaboration is, by nature, a highly multidisciplinary problem, and effective research into its complexities has been difficult to achieve across the broad range of scientific and technical disciplines involved. The need for a fundamental understanding of collaboration, however, has become increasingly important. Not only does humankind demand answers as it attempts to address critical challenges at multiple scales (e.g., climate change, migration, enhanced automation, social and economic inequality), but ever-increasing technological and economic means of interconnecting people and societies are disrupting long-established, familiar patterns of how we interact. Radical technological changes that are ongoing have the potential to reshape collaboration in ways that are currently hard to predict or influence (e.g., by altering configurations in interaction, information creation, and modes of communication). On one hand, such changes could disrupt hitherto stable forms of collaboration by affecting critical communication channels and traditional roles, as can be observed in the rapidly changing patterns in governance, commerce, and social interaction. Conversely, technology could lead to the emergence of novel, successful forms of collaboration that deviate from traditional “hierarchical” architectures. Evidence of this can be seen in areas as diverse as highly automated manufacturing plants, the open science movement, collaborative software repositories, user-centered services, and the sharing of economy-based modes of organization. Without a fundamental understanding of the mechanisms, processes, and boundary conditions of collaboration, it is not possible to evaluate or predict which of these possible scenarios are sustainable or even plausible. The Forum “How Collaboration Arises and Why it Fails” (May 8–13, 2022, Location: Frankfurt am Main, Germany) Chairs: Andreas Roepstorff and Paul Verschure Program Advisory Committee: Jenna Bednar, Julia R. Lupp, Bhavani R. Rao , Andreas Roepstorff, Ferdinand von Siemens, and Paul Verschure
Exploring the convergence of neuroscience, robotics, and AI through conversations with leading researchers since 2010.
A project of the Convergent Science Network Foundation.
© CSN Podcasts. Developed by IMCreative & WEBC
✖
✖
Are you sure you want to cancel your subscription? You will lose your Premium access and stored playlists.
✖
Be the first to leave a comment