The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors

Manisha Sharma

doi:doi:10.11648/j.ajdmkd.20240902.11

Research Article |

| Peer-Reviewed

The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors

Manisha Sharma^*

Published in American Journal of Data Mining and Knowledge Discovery (Volume 9, Issue 2)

Received: 20 September 2024 Accepted: 11 October 2024 Published: 28 November 2024

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The integration of artificial intelligence (AI) into healthcare has sparked considerable debate regarding its impact on the workforce, particularly concerning the roles of healthcare professionals such as doctors. This article explores the potential for AI-driven automation to replace certain medical tasks traditionally performed by physicians, as well as the broader implications for employment in the healthcare sector. While AI has demonstrated significant capabilities in areas like diagnostics, data analysis, and even surgical assistance, its role is largely seen as complementary rather than substitutive. Many experts argue that AI will enhance the efficiency and accuracy of medical practices rather than eliminate the need for human doctors. Moreover, the implementation of AI in healthcare is expected to create new roles focused on managing, interpreting, and improving AI systems, thereby shifting the nature of healthcare jobs rather than reducing their number. However, concerns about the potential for job displacement and the need for reskilling within the medical profession remain. This article concludes that while AI will inevitably alter the landscape of healthcare employment, it is unlikely to replace doctors entirely. Instead, it will transform the profession, requiring a new set of skills and a reimagining of the doctor-patient relationship.

Published in	American Journal of Data Mining and Knowledge Discovery (Volume 9, Issue 2)
DOI	10.11648/j.ajdmkd.20240902.11
Page(s)	32-35
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, AI in Medicine, Healthcare Automation, Job Displacement, Medical Workforce

References

[1]	Buchanan, B. G., Shortliffe, E. H., & Dym, C. K. (2018). Artificial Intelligence in Healthcare: Past, Present and Future. Academic Press.
[2]	Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94-98. https://doi.org/10.7861/futurehosp.6-2-94
[3]	Floridi, L., Cowls, J., King, T., & Taddeo, M. (2018). How to Design AI for Social Good: Seven Essential Factors. Springer Nature.
[4]	Frey, C. B., & Osborne, M. A. (2017). The Future of Employment: How Susceptible Are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254–280.
[5]	Hashimoto, D. A., Rosman, G., Rus, D., & Meireles, O. R. (2018). Artificial intelligence in surgery: Promises and perils. Annals of Surgery, 268(1), 70-76. https://doi.org/10.1097/SLA.0000000000002693
[6]	Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S.,... & Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230-243. https://doi.org/10.1136/svn-2017-000101
[7]	Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399.
[8]	Marr, B. (2020). Artificial Intelligence in Healthcare: How AI is Transforming the Industry and What it Means for Your Future. Wiley.
[9]	McCradden, M. D., Stephenson, E. A., & Anderson, J. A. (2020). Clinical Artificial Intelligence—Regulatory Considerations and Challenges Ahead. Digital Medicine, 3(1), 1–6.
[10]	Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A Survey on Bias and Fairness in Machine Learning. ACM Computing Surveys, 54(6), 1–35.
[11]	NICE Healthcare. (n.d.). AI in healthcare: Transforming doctor-patient relationships. NICE Healthcare. https://www.nicehms.com/blog/post/ai-in-healthcare-transforming-doctor-patient-relationships
[12]	Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aax2342
[13]	Rajkomar, A., Hardt, M., Howell, M. D., Corrado, G., & Chin, M. H. (2018). Ensuring Fairness in Machine Learning to Advance Health Equity. Annals of Internal Medicine, 169(12), 866–872.
[14]	Topol, E. J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
[15]	Verghese, A., Shah, N. H., & Harrington, R. A. (2018). What this computer needs is a physician: Humanism and artificial intelligence. JAMA, 319(1), 19-20. https://doi.org/10.1001/jama.2017.19198
[16]	World Economic Forum. (2018). The Future of Jobs Report 2018. Retrieved from https://www.weforum.org/reports/the-future-of-jobs-report-2018

Cite This Article

Plain Text BibTeX RIS

APA Style

Sharma, M. (2024). The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors. American Journal of Data Mining and Knowledge Discovery, 9(2), 32-35. https://doi.org/10.11648/j.ajdmkd.20240902.11

Copy | Download

ACS Style

Sharma, M. The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors. Am. J. Data Min. Knowl. Discov. 2024, 9(2), 32-35. doi: 10.11648/j.ajdmkd.20240902.11

Copy | Download

AMA Style

Sharma M. The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors. Am J Data Min Knowl Discov. 2024;9(2):32-35. doi: 10.11648/j.ajdmkd.20240902.11

Copy | Download

@article{10.11648/j.ajdmkd.20240902.11,
  author = {Manisha Sharma},
  title = {The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors
},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {9},
  number = {2},
  pages = {32-35},
  doi = {10.11648/j.ajdmkd.20240902.11},
  url = {https://doi.org/10.11648/j.ajdmkd.20240902.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20240902.11},
  abstract = {The integration of artificial intelligence (AI) into healthcare has sparked considerable debate regarding its impact on the workforce, particularly concerning the roles of healthcare professionals such as doctors. This article explores the potential for AI-driven automation to replace certain medical tasks traditionally performed by physicians, as well as the broader implications for employment in the healthcare sector. While AI has demonstrated significant capabilities in areas like diagnostics, data analysis, and even surgical assistance, its role is largely seen as complementary rather than substitutive. Many experts argue that AI will enhance the efficiency and accuracy of medical practices rather than eliminate the need for human doctors. Moreover, the implementation of AI in healthcare is expected to create new roles focused on managing, interpreting, and improving AI systems, thereby shifting the nature of healthcare jobs rather than reducing their number. However, concerns about the potential for job displacement and the need for reskilling within the medical profession remain. This article concludes that while AI will inevitably alter the landscape of healthcare employment, it is unlikely to replace doctors entirely. Instead, it will transform the profession, requiring a new set of skills and a reimagining of the doctor-patient relationship.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors

AU  - Manisha Sharma
Y1  - 2024/11/28
PY  - 2024
N1  - https://doi.org/10.11648/j.ajdmkd.20240902.11
DO  - 10.11648/j.ajdmkd.20240902.11
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 32
EP  - 35
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20240902.11
AB  - The integration of artificial intelligence (AI) into healthcare has sparked considerable debate regarding its impact on the workforce, particularly concerning the roles of healthcare professionals such as doctors. This article explores the potential for AI-driven automation to replace certain medical tasks traditionally performed by physicians, as well as the broader implications for employment in the healthcare sector. While AI has demonstrated significant capabilities in areas like diagnostics, data analysis, and even surgical assistance, its role is largely seen as complementary rather than substitutive. Many experts argue that AI will enhance the efficiency and accuracy of medical practices rather than eliminate the need for human doctors. Moreover, the implementation of AI in healthcare is expected to create new roles focused on managing, interpreting, and improving AI systems, thereby shifting the nature of healthcare jobs rather than reducing their number. However, concerns about the potential for job displacement and the need for reskilling within the medical profession remain. This article concludes that while AI will inevitably alter the landscape of healthcare employment, it is unlikely to replace doctors entirely. Instead, it will transform the profession, requiring a new set of skills and a reimagining of the doctor-patient relationship.

VL  - 9
IS  - 2
ER  -

Copy | Download

Author Information

Manisha Sharma

School of Liberal Arts and Human Science, Auro University, Surat, India

Contact Email

http://orcid.org/0000-0003-4340-4673

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Sharma, M. (2024). The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors. American Journal of Data Mining and Knowledge Discovery, 9(2), 32-35. https://doi.org/10.11648/j.ajdmkd.20240902.11

Copy | Download

ACS Style

Sharma, M. The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors. Am. J. Data Min. Knowl. Discov. 2024, 9(2), 32-35. doi: 10.11648/j.ajdmkd.20240902.11

Copy | Download

AMA Style

Sharma M. The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors. Am J Data Min Knowl Discov. 2024;9(2):32-35. doi: 10.11648/j.ajdmkd.20240902.11

Copy | Download

@article{10.11648/j.ajdmkd.20240902.11,
  author = {Manisha Sharma},
  title = {The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors
},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {9},
  number = {2},
  pages = {32-35},
  doi = {10.11648/j.ajdmkd.20240902.11},
  url = {https://doi.org/10.11648/j.ajdmkd.20240902.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20240902.11},
  abstract = {The integration of artificial intelligence (AI) into healthcare has sparked considerable debate regarding its impact on the workforce, particularly concerning the roles of healthcare professionals such as doctors. This article explores the potential for AI-driven automation to replace certain medical tasks traditionally performed by physicians, as well as the broader implications for employment in the healthcare sector. While AI has demonstrated significant capabilities in areas like diagnostics, data analysis, and even surgical assistance, its role is largely seen as complementary rather than substitutive. Many experts argue that AI will enhance the efficiency and accuracy of medical practices rather than eliminate the need for human doctors. Moreover, the implementation of AI in healthcare is expected to create new roles focused on managing, interpreting, and improving AI systems, thereby shifting the nature of healthcare jobs rather than reducing their number. However, concerns about the potential for job displacement and the need for reskilling within the medical profession remain. This article concludes that while AI will inevitably alter the landscape of healthcare employment, it is unlikely to replace doctors entirely. Instead, it will transform the profession, requiring a new set of skills and a reimagining of the doctor-patient relationship.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors

AU  - Manisha Sharma
Y1  - 2024/11/28
PY  - 2024
N1  - https://doi.org/10.11648/j.ajdmkd.20240902.11
DO  - 10.11648/j.ajdmkd.20240902.11
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 32
EP  - 35
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20240902.11
AB  - The integration of artificial intelligence (AI) into healthcare has sparked considerable debate regarding its impact on the workforce, particularly concerning the roles of healthcare professionals such as doctors. This article explores the potential for AI-driven automation to replace certain medical tasks traditionally performed by physicians, as well as the broader implications for employment in the healthcare sector. While AI has demonstrated significant capabilities in areas like diagnostics, data analysis, and even surgical assistance, its role is largely seen as complementary rather than substitutive. Many experts argue that AI will enhance the efficiency and accuracy of medical practices rather than eliminate the need for human doctors. Moreover, the implementation of AI in healthcare is expected to create new roles focused on managing, interpreting, and improving AI systems, thereby shifting the nature of healthcare jobs rather than reducing their number. However, concerns about the potential for job displacement and the need for reskilling within the medical profession remain. This article concludes that while AI will inevitably alter the landscape of healthcare employment, it is unlikely to replace doctors entirely. Instead, it will transform the profession, requiring a new set of skills and a reimagining of the doctor-patient relationship.

VL  - 9
IS  - 2
ER  -

Copy | Download