Integrating Human Factors in the Healthcare System: Embracing Aviation Methodologies and Artificial Intelligence (AI) to Enhance Provider Performance and Patient Safety

Authors

  • Ariel Braverman Health Sciences, Ben Gurion University, Beer Sheva, Israel

DOI:

https://doi.org/10.25259/IJTMRPH_50_2024

Keywords:

  • Human Factors,
  • Healthcare,
  • Patient Safety,
  • AI,
  • Medical Errors,
  • System Design,
  • Workflow Optimization

Abstract

Human factors science, which incorporates psychology, engineering, design, and statistics, aims to improve safety and efficiency in healthcare by optimizing the interaction between providers and their systems. This approach is critical in complex medical environments where errors often result from systemic issues rather than individual negligence. Historically rooted in aviation, human factors principles have significantly enhanced safety and performance, offering valuable insights for healthcare. Human factors specialists aim to reduce errors and improve patient outcomes by addressing poorly designed interfaces, inefficient workflows, and inadequate communication systems. The integration of artificial intelligence (AI) into healthcare can further enhance these efforts by predicting patient risks, optimizing treatment plans, and automating routine tasks. AI, designed with human factors in mind, can augment healthcare providers’ capabilities, ensuring safety and efficiency. The future of healthcare lies in the seamless integration of human factors and AI, fostering a system that enhances provider performance and patient safety. Learning from aviation’s success in minimizing human error through human factors engineering, healthcare can achieve similar safety standards, ensuring a technologically advanced, safe, and human-centered healthcare system.

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Published

2024-12-20
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How to Cite

Braverman, A. (2024). Integrating Human Factors in the Healthcare System: Embracing Aviation Methodologies and Artificial Intelligence (AI) to Enhance Provider Performance and Patient Safety. International Journal of Translational Medical Research and Public Health, 8(Continuous), e016. https://doi.org/10.25259/IJTMRPH_50_2024

License


Copyright © 2024 Ariel Braverman. Published by Global Health and Education Projects, Inc., USA.

Creative Commons License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.