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A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (AICV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1153))

Abstract

A systematic review for twenty-three research studies published between (2015–2018) was reviewed and analyzed deeply in order to answer the research question for the critical success factors for implementing artificial intelligence (AI) projects within the health sector. Afterwards, different constructs were elicited from the previous targeted studies to end up with a list of the most widely used external factors that are relied upon frequently during the process of adopting the technology. The study provide a critical discussion about what does (AI) means and how it can be linked to use the Technology Acceptance Model (TAM) to discuss the willingness to use (AI) systems by individuals.

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Acknowledgment

This work is a part of a dissertation submitted in fulfilment of MSc Informatics (Knowledge & Data Management) Faculty of Engineering & Information Technology At The British University in Dubai.

Author information

Authors and Affiliations

  1. Faculty of Engineering and IT, The British University in Dubai, Dubai, UAE

    Shaikha F. S. Alhashmi & Said A. Salloum

  2. Faculty of Business, University of Jordan, Amman, Jordan

    Muhammad Alshurideh

  3. Management Department, University of Sharjah, Sharjah, UAE

    Muhammad Alshurideh

  4. Marketing Department, Amman Arab University, Amman, Jordan

    Barween Al Kurdi

  5. Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, UAE

    Said A. Salloum

Authors
  1. Shaikha F. S. Alhashmi
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  2. Muhammad Alshurideh
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  3. Barween Al Kurdi
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  4. Said A. Salloum
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Corresponding author

Correspondence to Said A. Salloum .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Banha, Egypt

    Ahmad Taher Azar

  3. Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Jalisco, Mexico

    Diego Oliva

  5. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Alhashmi, S.F.S., Alshurideh, M., Al Kurdi, B., Salloum, S.A. (2020). A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_4

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