Health impact (HI-FMEA) decision support application for hospital health technology management
The research aims to create an innovative Healthcare Impact Failure Mode and Effects Analysis (Hi-FMEA) framework approach that integrates patient safety in identifying and prioritizing critical failure modes in medical equipment and derive appropriate mitigation strategies for the identified critic...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2024-09-01
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| Series: | International Journal of Research in Industrial Engineering |
| Subjects: | |
| Online Access: | https://www.riejournal.com/article_202018_32d87de8a8cd5f5ffc70ccf5879fc7ea.pdf |
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| _version_ | 1832577763543875584 |
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| author | David Mutia Peter Muchiri Michael Munywoki James Wakiru |
| author_facet | David Mutia Peter Muchiri Michael Munywoki James Wakiru |
| author_sort | David Mutia |
| collection | DOAJ |
| description | The research aims to create an innovative Healthcare Impact Failure Mode and Effects Analysis (Hi-FMEA) framework approach that integrates patient safety in identifying and prioritizing critical failure modes in medical equipment and derive appropriate mitigation strategies for the identified critical failure modes. The developed Hi-FMEA is a robust framework for identifying, evaluating, and prioritizing failure modes of critical medical equipment, in this case, dialysis machines. Incorporating patient safety, a clear novelty of the technique, enables biomedical engineers to identify and rank critical failure modes. The Hi-FMEA framework was established through risk assessment and patient safety analysis. It involved several factors that govern patient safety and risk: frequency of failures, patient delay time, maintainability, and redundancy. To validate this framework, data was collected in a case study public hospital, pre-processed, and failure modes identified through various data exploratory techniques. Appropriate maintenance strategies to mitigate the critical failure modes were systematically selected using a modified decision tree. Based on the Hi-FMEA technique, leakages and flow pump failure were identified as critical failure modes, and a modified decision tree recommended Condition Based Maintenance (CBM) and design out maintenance strategies for the critical failure modes. The developed framework incorporating Hi-FMEA and decision tree identifies critical failure modes and respective maintenance mitigation strategies, ultimately improving patient safety and ensuring strategic resource allocation. |
| format | Article |
| id | doaj-art-b030d2bdf95d4c3f8d32f288e16cbd6b |
| institution | Kabale University |
| issn | 2783-1337 2717-2937 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | International Journal of Research in Industrial Engineering |
| spelling | doaj-art-b030d2bdf95d4c3f8d32f288e16cbd6b2025-01-30T15:10:37ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372024-09-0113330632610.22105/riej.2024.451091.1438202018Health impact (HI-FMEA) decision support application for hospital health technology managementDavid Mutia0Peter Muchiri1Michael Munywoki2James Wakiru3Department of Medical Engineering, Technical University of Mombasa, Mombasa, Kenya.Department of Mechanical Engineering, Dedan Kimathi University of Technology, Nyeri, Kenya.Department of Medical Engineering, Technical University of Mombasa, Mombasa, Kenya.Department of Mechanical Engineering, Dedan Kimathi University of Technology, Nyeri, Kenya.The research aims to create an innovative Healthcare Impact Failure Mode and Effects Analysis (Hi-FMEA) framework approach that integrates patient safety in identifying and prioritizing critical failure modes in medical equipment and derive appropriate mitigation strategies for the identified critical failure modes. The developed Hi-FMEA is a robust framework for identifying, evaluating, and prioritizing failure modes of critical medical equipment, in this case, dialysis machines. Incorporating patient safety, a clear novelty of the technique, enables biomedical engineers to identify and rank critical failure modes. The Hi-FMEA framework was established through risk assessment and patient safety analysis. It involved several factors that govern patient safety and risk: frequency of failures, patient delay time, maintainability, and redundancy. To validate this framework, data was collected in a case study public hospital, pre-processed, and failure modes identified through various data exploratory techniques. Appropriate maintenance strategies to mitigate the critical failure modes were systematically selected using a modified decision tree. Based on the Hi-FMEA technique, leakages and flow pump failure were identified as critical failure modes, and a modified decision tree recommended Condition Based Maintenance (CBM) and design out maintenance strategies for the critical failure modes. The developed framework incorporating Hi-FMEA and decision tree identifies critical failure modes and respective maintenance mitigation strategies, ultimately improving patient safety and ensuring strategic resource allocation.https://www.riejournal.com/article_202018_32d87de8a8cd5f5ffc70ccf5879fc7ea.pdffailure mode and effect analysishealthcare failure mode and effect analysismaintenance strategycritical medical equipment |
| spellingShingle | David Mutia Peter Muchiri Michael Munywoki James Wakiru Health impact (HI-FMEA) decision support application for hospital health technology management International Journal of Research in Industrial Engineering failure mode and effect analysis healthcare failure mode and effect analysis maintenance strategy critical medical equipment |
| title | Health impact (HI-FMEA) decision support application for hospital health technology management |
| title_full | Health impact (HI-FMEA) decision support application for hospital health technology management |
| title_fullStr | Health impact (HI-FMEA) decision support application for hospital health technology management |
| title_full_unstemmed | Health impact (HI-FMEA) decision support application for hospital health technology management |
| title_short | Health impact (HI-FMEA) decision support application for hospital health technology management |
| title_sort | health impact hi fmea decision support application for hospital health technology management |
| topic | failure mode and effect analysis healthcare failure mode and effect analysis maintenance strategy critical medical equipment |
| url | https://www.riejournal.com/article_202018_32d87de8a8cd5f5ffc70ccf5879fc7ea.pdf |
| work_keys_str_mv | AT davidmutia healthimpacthifmeadecisionsupportapplicationforhospitalhealthtechnologymanagement AT petermuchiri healthimpacthifmeadecisionsupportapplicationforhospitalhealthtechnologymanagement AT michaelmunywoki healthimpacthifmeadecisionsupportapplicationforhospitalhealthtechnologymanagement AT jameswakiru healthimpacthifmeadecisionsupportapplicationforhospitalhealthtechnologymanagement |