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How AI Can Help Avoid Catastrophic Overload of Healthcare System in Times of a Worldwide Pandemic

In: Life Science Management

Author

Listed:
  • Johannes Nagele

    (Alexander Thamm GmbH)

  • Alexander Thamm

    (Alexander Thamm GmbH)

Abstract

With the onset of the global pandemic in 2019 affecting billions of people around the globe, the need for smooth functioning healthcare, even in high-stress situations, became abundantly clear. The crisis uncovered major shortcomings in intensive care and nursing homes including a shortage of trained personnel. Widespread increase in cancer, diabetes, and cardiovascular disease; systems were at the brink of collapse due to shortage of healthcare professionals in many areas. However, cloud technologies, robotic surgery, and artificial intelligence (AI) are revolutionizing the industry by enabling personalized patient care and increasing efficiency by eliminating repetitive tasks. While globalization of the healthcare industry and supply chain increases complexity of processes due to interdependencies, technology fosters collaboration across continents and drives a shift toward prevention of serious disease. In this chapter, we analyze the opportunities and challenges presented by these new technologies, highlighting the promise of AI in healthcare management and the obstacles that still need to be overcome.

Suggested Citation

  • Johannes Nagele & Alexander Thamm, 2022. "How AI Can Help Avoid Catastrophic Overload of Healthcare System in Times of a Worldwide Pandemic," Management for Professionals, in: Avo Schönbohm & Hans Henning von Horsten & Philipp Plugmann (ed.), Life Science Management, pages 57-78, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-030-98764-0_5
    DOI: 10.1007/978-3-030-98764-0_5
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