Failure mode and effect analysis oriented to risk-reduction interventions in intraoperative electron radiation therapy: The specific impact of patient transportation, automation, and treatment planning availability

López-Tarjuelo, Juan; Bouché-Babiloni, Ana; Santos-Serra, Agustín; Morillo-Macías, Virginia; Calvo, Felipe A.; Kubyshin, Yu. A.; Ferrer-Albiach, Carlos

doi:10.1016/j.radonc.2014.11.012

Cited by 34 publications

(27 citation statements)

References 28 publications

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“…[22][23][24] In fact, both solutions could be connected to the IOERT treatment planning system, thus improving automation of IOERT procedures. Such an approach could overcome human data transmission errors and make it possible to monitor potential mistakes in human actions (risk factors previously identified in 25 ), thus improving quality control in these interventions.…”

Section: Discussionmentioning

confidence: 99%

Technical Note: Mobile accelerator guidance using an optical tracker during docking in IOERT procedures

et al. 2017

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Section: Discussionmentioning

confidence: 99%

Technical Note: Mobile accelerator guidance using an optical tracker during docking in IOERT procedures

et al. 2017

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“…As on other analyses published [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], a threshold value of RPN and S was chosen, above which the number of FMs was manageable to analyze these failures more thoroughly. FMs with RPN ≥ 50 were prioritized and new tools for quality management were proposed to avoid a recurrence.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, some centers have performed risk analysis of certain techniques and procedures implemented in their facility, detecting potential failure modes that were not included in the initial setting of the QA program [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]. In the context of the aforementioned, a risk analysis of the process associated with the treatment of skin lesions using the Esteya electronic brachytherapy system in our institution has been done.…”

Section: Purposementioning

confidence: 99%

Failure mode and effects analysis of skin electronic brachytherapy using Esteya® unit

Ibanez-Rosello

Bautista-Ballesteros

Bonaque

et al. 2016

jcb

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PurposeEsteya® (Nucletron, an Elekta company, Elekta AB, Stockholm, Sweden) is an electronic brachytherapy device used for skin cancer lesion treatment. In order to establish an adequate level of quality of treatment, a risk analysis of the Esteya treatment process has been done, following the methodology proposed by the TG-100 guidelines of the American Association of Physicists in Medicine (AAPM).Material and methodsA multidisciplinary team familiar with the treatment process was formed. This team developed a process map (PM) outlining the stages, through which a patient passed when subjected to the Esteya treatment. They identified potential failure modes (FM) and each individual FM was assessed for the severity (S), frequency of occurrence (O), and lack of detection (D). A list of existing quality management tools was developed and the FMs were consensually reevaluated. Finally, the FMs were ranked according to their risk priority number (RPN) and their S.Results146 FMs were identified, 106 of which had RPN ≥ 50 and 30 had S ≥ 7. After introducing the quality management tools, only 21 FMs had RPN ≥ 50. The importance of ensuring contact between the applicator and the surface of the patient’s skin was emphasized, so the setup was reviewed by a second individual before each treatment session with periodic quality control to ensure stability of the applicator pressure. Some of the essential quality management tools are already being implemented in the installation are the simple templates for reproducible positioning of skin applicators, that help marking the treatment area and positioning of X-ray tube.ConclusionsNew quality management tools have been established as a result of the application of the failure modes and effects analysis (FMEA) treatment. However, periodic update of the FMEA process is necessary, since clinical experience has suggested occurring of further new possible potential failure modes.

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“…Penelitian ini juga merupakan perbaikan analisis risiko dengan FMEA tradisional yang sudah dilakukan oleh Firdaus & Widianti (2015 (McDermott, dkk., 2009). Saat ini, FMEA sudah diaplikasikan juga di bidang jasa kese-hatan (Lopez-Tarjuelo, dkk., 2014;Chiarini, 2012;dan Ookalkar, dkk., 2009), layanan outsourcing (Liao & Ho, 2014dan Nassimbeni, dkk., 2012, penerbangan (Sharma, dkk., 2011), dan swalayan (Chung, 2010).…”

Section: Pendahuluanunclassified

Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea)

Widianti¹,

Firdaus²

2018

j. standard.

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Failure Mode and Effect Analysis (FMEA) banyak diimplementasikan untuk analisis risiko baik di bidang manufaktur maupun jasa. Permasalahan yang sering timbul pada implementasi FMEA yaitu sulitnya menentukan peringkat risiko karena kesamaan nilai RPN. Samanya nilai RPN menimbulkan kesulitan bagi pengambil keputusan untuk memprioritisasi risiko yang harus ditindaklanjuti. Logika fuzzy merupakan logika matematis yang dapat digunakan untuk memperbaiki kelemahan FMEA. Sehingga, tujuan penelitian ini adalah integrasi FMEA dengan logika fuzzy sebagai upaya perbaikan terhadap metode FMEA. Tujuan lainnya adalah implementasi integrasi Fuzzy-FMEA pada lingkup pengujian suhu lemari es. Implementasi Fuzzy-FMEA pada pengujian ini dilakukan sebagai tindakan pencegahan terhadap risiko kegagalan pada pengujian yang dipersyaratkan oleh SNI ISO/IEC 17025:2008. Studi kasus pengujian suhu pada lemari es ini dipilih karena lemari es merupakan salah satu produk yang diwajibkan untuk memperoleh Sertifikat Produk Penggunaan Tanda SNI (SPPT-SNI) yang mengacu pada standar SNI IEC 60335-2-7:2009. Selain itu, penerapan Fuzzy-FMEA pada konteks pengujian sampai saat ini belum ditemukan. Hasil analisis dengan Fuzzy-FMEA menunjukkan bahwa risiko kegagalan paling tinggi pada proses pengujian suhu lemari es paling tinggi terjadi pada mode kegagalan: power source tibatiba shut down dengan nilai RPN 5,8887.

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Failure mode and effect analysis oriented to risk-reduction interventions in intraoperative electron radiation therapy: The specific impact of patient transportation, automation, and treatment planning availability

Cited by 34 publications

References 28 publications

Technical Note: Mobile accelerator guidance using an optical tracker during docking in IOERT procedures

Technical Note: Mobile accelerator guidance using an optical tracker during docking in IOERT procedures

Failure mode and effects analysis of skin electronic brachytherapy using Esteya® unit

Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea)

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