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Performance improvement through proactive risk assessment: Using failure modes and effects analysis

INTRODUCTION: Cognizance of any error-prone professional activities has a great impact on the continuity of professional organizations in the competitive atmosphere, particularly in health care industry where every second has critical value in patients’ life saving. Considering invaluable functions...

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Autores principales: Yarmohammadian, Mohammad Hossein, Abadi, Tahereh Naseri Boori, Tofighi, Shahram, Esfahani, Sekine Saghaeiannejad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089110/
https://www.ncbi.nlm.nih.gov/pubmed/25013821
http://dx.doi.org/10.4103/2277-9531.131891
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author Yarmohammadian, Mohammad Hossein
Abadi, Tahereh Naseri Boori
Tofighi, Shahram
Esfahani, Sekine Saghaeiannejad
author_facet Yarmohammadian, Mohammad Hossein
Abadi, Tahereh Naseri Boori
Tofighi, Shahram
Esfahani, Sekine Saghaeiannejad
author_sort Yarmohammadian, Mohammad Hossein
collection PubMed
description INTRODUCTION: Cognizance of any error-prone professional activities has a great impact on the continuity of professional organizations in the competitive atmosphere, particularly in health care industry where every second has critical value in patients’ life saving. Considering invaluable functions of medical record department — as legal document and continuity of health care — “failure mode and effects analysis (FMEA)” utilized to identify the ways a process can fail, and how it can be made safer. MATERIALS AND METHODS: The structured approach involved assembling a team of experts, employing a trained facilitator, introducing the rating scales and process during team orientation and collectively scoring failure modes. The probability of the failure-effect combination was related to the frequency of occurrence, potential severity, and likelihood of detection before causing any harm to the staff or patients. Frequency, severity and detectability were each given a score from 1 to 10. Risk priority numbers were calculated. RESULTS: In total 56 failure modes were identified and in subsets of Medical Record Department including admission unit dividing emergency, outpatient and inpatient classes, statististic, health data organizing and data processing and Medical Coding units. Although most failure modes were classified as a high risk group, limited resources were, as an impediment to implement recommended actions at the same time. CONCLUSION: Proactive risk assessment methods, such as FMEA enable health care administrators to identify where and what safeguards are needed to protect against a bad outcome even when an error does occur.
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spelling pubmed-40891102014-07-10 Performance improvement through proactive risk assessment: Using failure modes and effects analysis Yarmohammadian, Mohammad Hossein Abadi, Tahereh Naseri Boori Tofighi, Shahram Esfahani, Sekine Saghaeiannejad J Educ Health Promot Original Article INTRODUCTION: Cognizance of any error-prone professional activities has a great impact on the continuity of professional organizations in the competitive atmosphere, particularly in health care industry where every second has critical value in patients’ life saving. Considering invaluable functions of medical record department — as legal document and continuity of health care — “failure mode and effects analysis (FMEA)” utilized to identify the ways a process can fail, and how it can be made safer. MATERIALS AND METHODS: The structured approach involved assembling a team of experts, employing a trained facilitator, introducing the rating scales and process during team orientation and collectively scoring failure modes. The probability of the failure-effect combination was related to the frequency of occurrence, potential severity, and likelihood of detection before causing any harm to the staff or patients. Frequency, severity and detectability were each given a score from 1 to 10. Risk priority numbers were calculated. RESULTS: In total 56 failure modes were identified and in subsets of Medical Record Department including admission unit dividing emergency, outpatient and inpatient classes, statististic, health data organizing and data processing and Medical Coding units. Although most failure modes were classified as a high risk group, limited resources were, as an impediment to implement recommended actions at the same time. CONCLUSION: Proactive risk assessment methods, such as FMEA enable health care administrators to identify where and what safeguards are needed to protect against a bad outcome even when an error does occur. Medknow Publications & Media Pvt Ltd 2014-05-03 /pmc/articles/PMC4089110/ /pubmed/25013821 http://dx.doi.org/10.4103/2277-9531.131891 Text en Copyright: © 2014 Yarmohammadian MH. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Yarmohammadian, Mohammad Hossein
Abadi, Tahereh Naseri Boori
Tofighi, Shahram
Esfahani, Sekine Saghaeiannejad
Performance improvement through proactive risk assessment: Using failure modes and effects analysis
title Performance improvement through proactive risk assessment: Using failure modes and effects analysis
title_full Performance improvement through proactive risk assessment: Using failure modes and effects analysis
title_fullStr Performance improvement through proactive risk assessment: Using failure modes and effects analysis
title_full_unstemmed Performance improvement through proactive risk assessment: Using failure modes and effects analysis
title_short Performance improvement through proactive risk assessment: Using failure modes and effects analysis
title_sort performance improvement through proactive risk assessment: using failure modes and effects analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089110/
https://www.ncbi.nlm.nih.gov/pubmed/25013821
http://dx.doi.org/10.4103/2277-9531.131891
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