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Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities

Received: 17 September 2018     Accepted: 29 September 2018     Published: 30 October 2018
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Abstract

Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.

Published in Industrial Engineering (Volume 2, Issue 1)
DOI 10.11648/j.ie.20180201.15
Page(s) 34-41
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), 2018. Published by Science Publishing Group

Keywords

Health Facilities, Maintenance, Medical Equipment

References
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  • APA Style

    David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno. (2018). Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Industrial Engineering, 2(1), 34-41. https://doi.org/10.11648/j.ie.20180201.15

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    ACS Style

    David Malombe Mutia; Lawrence Mukhongo; Peter Chemweno. Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Ind. Eng. 2018, 2(1), 34-41. doi: 10.11648/j.ie.20180201.15

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    AMA Style

    David Malombe Mutia, Lawrence Mukhongo, Peter Chemweno. Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities. Ind Eng. 2018;2(1):34-41. doi: 10.11648/j.ie.20180201.15

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  • @article{10.11648/j.ie.20180201.15,
      author = {David Malombe Mutia and Lawrence Mukhongo and Peter Chemweno},
      title = {Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities},
      journal = {Industrial Engineering},
      volume = {2},
      number = {1},
      pages = {34-41},
      doi = {10.11648/j.ie.20180201.15},
      url = {https://doi.org/10.11648/j.ie.20180201.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ie.20180201.15},
      abstract = {Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Review in Maintenance Strategies for Haemodialysis Machine in Healthcare Facilities
    AU  - David Malombe Mutia
    AU  - Lawrence Mukhongo
    AU  - Peter Chemweno
    Y1  - 2018/10/30
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ie.20180201.15
    DO  - 10.11648/j.ie.20180201.15
    T2  - Industrial Engineering
    JF  - Industrial Engineering
    JO  - Industrial Engineering
    SP  - 34
    EP  - 41
    PB  - Science Publishing Group
    SN  - 2640-1118
    UR  - https://doi.org/10.11648/j.ie.20180201.15
    AB  - Hemodialysis machines are critical medical equipment in healthcare facilities for renal replacement therapy in form of dialysis treatment on solving chronic kidney diseases in Sub Sahara Africa. It is a vital machine which acts as human kidney by incorporating electromechanical controlled extracorporeal blood paths that leverage pumps and semi permeable dialyzer membranes to filter the patient’s blood. The biggest challenge to the biomedical engineers in most African hospitals is to maintain the manufacturer’s safety and performance specification of the haemodialysis equipment. There is a need for effective maintenance strategy for haemodialysis medical equipment in order to maintain the manufacturer’s set specification to meet clinical expectations and hence improve its reliability. The overall goal of the research paper is therefore to analyze the influence of different maintenance strategies and subsequently improve on the reliability of hemodialysis equipment in healthcare institutions in Kenya. The research will prioritize hemodialysis machine as critical medical equipment and use comprehensive secondary data to review and analyze the strategic maintenance applied in health institutions to optimize the best and cost effective strategic maintenance for the hemodialysis medical equipment. The ant colony optimization (ACO) algorithms may be less expert reliant and avoid uncertainty and ambiguity to determine the best strategic maintenance management to manage hemodialysis medical equipment in the hospitals. The results will provide an opportunity to technical engineers to develop a predictive and intelligent management system in the hospitals to minimize or remove the Mean Downtime (MDT) and Mean time to repair (MTTR) for a failed hemodialysis machines and improve the reliability of the hemodialysis machine.
    VL  - 2
    IS  - 1
    ER  - 

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Author Information
  • Department of Medical Engineering, Technical University of Mombasa, Mombasa, Kenya

  • Department of Electrical Engineering, Technical University of Mombasa, Mombasa, Kenya

  • Department of Mechanical Engineering, Moi University, Eldoret, Kenya

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