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Analysis of Human Error of EHS in Healthcare Industry Using TISM

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1057))

Abstract

Human error plays a key role in healthcare industry. The risk factors for human error involved in environmental health and safety section is extremely high when compared to other sections. The objective of this paper is to recognize the most influential factors for human error of EHS in healthcare industry. The risk factors are identified from the literature survey as well as inputs from industrial experts. The identified factors are analyzed using one of the soft computing tools known as total interpretive structural modeling (TISM). The model of TISM clearly shows the driving power and reliance power of the factor. A case empirical study is conducted in an Indian healthcare industry for verifying the suggested model. The outcomes of the paper will help industrial managers for implementing the framework of EHS and also will enhance the managerial excellence. Finally, to verity the TISM results, a statistical validation is done using covariance-based structural equation modeling (CBSEM).

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

    R. K. A. Bhalaji, S. Bathrinath & S. Saravanasankar

  2. Department of Production Engineering, Parala Maharaja Engineering College, Berhampur, Odisha, 761003, India

    Chitrasen Samantra

Authors
  1. R. K. A. Bhalaji
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  2. S. Bathrinath
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  3. Chitrasen Samantra
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  4. S. Saravanasankar
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Corresponding author

Correspondence to S. Bathrinath .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

Appendix: Questionnaire

Appendix: Questionnaire

Note: For the review, a questionnaire was framed and provided to experts in the field to evaluate risk factors for human error involved in the EHS section in south Indian healthcare industry. The gathered data will be used for purposes of research only. Your comments will not be shared to a third party or social media. It will be kept confidential. Your input will help to bring about positive outcomes in this research, and hence, it is very important. My heartful thanks for your time and effort for providing a rating.

Please choose any one rating that you suitable for each item (refer Step 5 for TISM and segment 5 for CBSEM).

Factors

H1

H2

H3

H4

H5

H6

H7

H1

       

H2

       

H3

       

H4

       

H5

       

H6

       

H7

       

Profile of the expert:

  1. 1.

    Name: ……………………………………..

  2. 2.

    Experience in the healthcare industry (in years): ……

  3. 3.

    Name of the organization: ………………………..

  4. 4.

    Current position in the organization:

  5. 5.

    Mobile No. & Email: …………………………..

Thank you very much for your time and effort in filling up this questionnaire.

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Bhalaji, R.K.A., Bathrinath, S., Samantra, C., Saravanasankar, S. (2020). Analysis of Human Error of EHS in Healthcare Industry Using TISM. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_6

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