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

Johannes Nagele () and Alexander Thamm ()
Additional contact information
Johannes Nagele: Alexander Thamm GmbH
Alexander Thamm: Alexander Thamm GmbH

A chapter in Life Science Management, 2022, pp 57-78 from Springer

Abstract: 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.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-98764-0_5

Ordering information: This item can be ordered from
http://www.springer.com/9783030987640

DOI: 10.1007/978-3-030-98764-0_5

Access Statistics for this chapter

More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().