Failure modes and effects analysis for ocular brachytherapy

Yongsook C. Lee, Yongbok Kim, Jason Wei Yeong Huynh, Russell J Hamilton

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Purpose: The aim of the study was to identify potential failure modes (FMs) having a high risk and to improve our current quality management (QM) program in Collaborative Ocular Melanoma Study (COMS) ocular brachytherapy by undertaking a failure modes and effects analysis (FMEA) and a fault tree analysis (FTA). Methods and Materials: Process mapping and FMEA were performed for COMS ocular brachytherapy. For all FMs identified in FMEA, risk priority numbers (RPNs) were determined by assigning and multiplying occurrence, severity, and lack of detectability values, each ranging from 1 to 10. FTA was performed for the major process that had the highest ranked FM. Results: Twelve major processes, 121 sub-process steps, 188 potential FMs, and 209 possible causes were identified. For 188 FMs, RPN scores ranged from 1.0 to 236.1. The plaque assembly process had the highest ranked FM. The majority of FMs were attributable to human failure (85.6%), and medical physicist-related failures were the most numerous (58.9% of all causes). After FMEA, additional QM methods were included for the top 10 FMs and 6 FMs with severity values > 9.0. As a result, for these 16 FMs and the 5 major processes involved, quality control steps were increased from 8 (50%) to 15 (93.8%), and major processes having quality assurance steps were increased from 2 to 4. Conclusions: To reduce high risk in current clinical practice, we proposed QM methods. They mainly include a check or verification of procedures/steps and the use of checklists for both ophthalmology and radiation oncology staff, and intraoperative ultrasound-guided plaque positioning for ophthalmology staff.

Original languageEnglish (US)
JournalBrachytherapy
DOIs
StateAccepted/In press - 2017

Fingerprint

Brachytherapy
Ophthalmology
Melanoma
Radiation Oncology
Checklist
Quality Control
Healthcare Failure Mode and Effect Analysis

Keywords

  • Failure modes and effects analysis
  • Fault tree analysis
  • Ocular brachytherapy
  • Quality assurance
  • Quality control
  • Quality management

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging

Cite this

Failure modes and effects analysis for ocular brachytherapy. / Lee, Yongsook C.; Kim, Yongbok; Huynh, Jason Wei Yeong; Hamilton, Russell J.

In: Brachytherapy, 2017.

Research output: Contribution to journalArticle

Lee, Yongsook C. ; Kim, Yongbok ; Huynh, Jason Wei Yeong ; Hamilton, Russell J. / Failure modes and effects analysis for ocular brachytherapy. In: Brachytherapy. 2017.
@article{6214b1778eb242e784d5ebfce81f80e7,
title = "Failure modes and effects analysis for ocular brachytherapy",
abstract = "Purpose: The aim of the study was to identify potential failure modes (FMs) having a high risk and to improve our current quality management (QM) program in Collaborative Ocular Melanoma Study (COMS) ocular brachytherapy by undertaking a failure modes and effects analysis (FMEA) and a fault tree analysis (FTA). Methods and Materials: Process mapping and FMEA were performed for COMS ocular brachytherapy. For all FMs identified in FMEA, risk priority numbers (RPNs) were determined by assigning and multiplying occurrence, severity, and lack of detectability values, each ranging from 1 to 10. FTA was performed for the major process that had the highest ranked FM. Results: Twelve major processes, 121 sub-process steps, 188 potential FMs, and 209 possible causes were identified. For 188 FMs, RPN scores ranged from 1.0 to 236.1. The plaque assembly process had the highest ranked FM. The majority of FMs were attributable to human failure (85.6{\%}), and medical physicist-related failures were the most numerous (58.9{\%} of all causes). After FMEA, additional QM methods were included for the top 10 FMs and 6 FMs with severity values > 9.0. As a result, for these 16 FMs and the 5 major processes involved, quality control steps were increased from 8 (50{\%}) to 15 (93.8{\%}), and major processes having quality assurance steps were increased from 2 to 4. Conclusions: To reduce high risk in current clinical practice, we proposed QM methods. They mainly include a check or verification of procedures/steps and the use of checklists for both ophthalmology and radiation oncology staff, and intraoperative ultrasound-guided plaque positioning for ophthalmology staff.",
keywords = "Failure modes and effects analysis, Fault tree analysis, Ocular brachytherapy, Quality assurance, Quality control, Quality management",
author = "Lee, {Yongsook C.} and Yongbok Kim and Huynh, {Jason Wei Yeong} and Hamilton, {Russell J}",
year = "2017",
doi = "10.1016/j.brachy.2017.07.005",
language = "English (US)",
journal = "Brachytherapy",
issn = "1538-4721",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Failure modes and effects analysis for ocular brachytherapy

AU - Lee, Yongsook C.

AU - Kim, Yongbok

AU - Huynh, Jason Wei Yeong

AU - Hamilton, Russell J

PY - 2017

Y1 - 2017

N2 - Purpose: The aim of the study was to identify potential failure modes (FMs) having a high risk and to improve our current quality management (QM) program in Collaborative Ocular Melanoma Study (COMS) ocular brachytherapy by undertaking a failure modes and effects analysis (FMEA) and a fault tree analysis (FTA). Methods and Materials: Process mapping and FMEA were performed for COMS ocular brachytherapy. For all FMs identified in FMEA, risk priority numbers (RPNs) were determined by assigning and multiplying occurrence, severity, and lack of detectability values, each ranging from 1 to 10. FTA was performed for the major process that had the highest ranked FM. Results: Twelve major processes, 121 sub-process steps, 188 potential FMs, and 209 possible causes were identified. For 188 FMs, RPN scores ranged from 1.0 to 236.1. The plaque assembly process had the highest ranked FM. The majority of FMs were attributable to human failure (85.6%), and medical physicist-related failures were the most numerous (58.9% of all causes). After FMEA, additional QM methods were included for the top 10 FMs and 6 FMs with severity values > 9.0. As a result, for these 16 FMs and the 5 major processes involved, quality control steps were increased from 8 (50%) to 15 (93.8%), and major processes having quality assurance steps were increased from 2 to 4. Conclusions: To reduce high risk in current clinical practice, we proposed QM methods. They mainly include a check or verification of procedures/steps and the use of checklists for both ophthalmology and radiation oncology staff, and intraoperative ultrasound-guided plaque positioning for ophthalmology staff.

AB - Purpose: The aim of the study was to identify potential failure modes (FMs) having a high risk and to improve our current quality management (QM) program in Collaborative Ocular Melanoma Study (COMS) ocular brachytherapy by undertaking a failure modes and effects analysis (FMEA) and a fault tree analysis (FTA). Methods and Materials: Process mapping and FMEA were performed for COMS ocular brachytherapy. For all FMs identified in FMEA, risk priority numbers (RPNs) were determined by assigning and multiplying occurrence, severity, and lack of detectability values, each ranging from 1 to 10. FTA was performed for the major process that had the highest ranked FM. Results: Twelve major processes, 121 sub-process steps, 188 potential FMs, and 209 possible causes were identified. For 188 FMs, RPN scores ranged from 1.0 to 236.1. The plaque assembly process had the highest ranked FM. The majority of FMs were attributable to human failure (85.6%), and medical physicist-related failures were the most numerous (58.9% of all causes). After FMEA, additional QM methods were included for the top 10 FMs and 6 FMs with severity values > 9.0. As a result, for these 16 FMs and the 5 major processes involved, quality control steps were increased from 8 (50%) to 15 (93.8%), and major processes having quality assurance steps were increased from 2 to 4. Conclusions: To reduce high risk in current clinical practice, we proposed QM methods. They mainly include a check or verification of procedures/steps and the use of checklists for both ophthalmology and radiation oncology staff, and intraoperative ultrasound-guided plaque positioning for ophthalmology staff.

KW - Failure modes and effects analysis

KW - Fault tree analysis

KW - Ocular brachytherapy

KW - Quality assurance

KW - Quality control

KW - Quality management

UR - http://www.scopus.com/inward/record.url?scp=85027550441&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027550441&partnerID=8YFLogxK

U2 - 10.1016/j.brachy.2017.07.005

DO - 10.1016/j.brachy.2017.07.005

M3 - Article

C2 - 28827007

AN - SCOPUS:85027550441

JO - Brachytherapy

JF - Brachytherapy

SN - 1538-4721

ER -