Clinical risk evaluation of medical device software: an axiomatic design-based methodology
The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software appl...
Ausführliche Beschreibung
Autor*in: |
Rolli Fernando [verfasserIn] Pecoraro Fabrizio [verfasserIn] Luzi Daniela [verfasserIn] Ricci Fabrizio L. [verfasserIn] Pourabbas Elaheh [verfasserIn] Parretti Chiara [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch ; Französisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
In: MATEC Web of Conferences - EDP Sciences, 2013, 301, p 00005(2019) |
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Übergeordnetes Werk: |
volume:301, p 00005 ; year:2019 |
Links: |
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DOI / URN: |
10.1051/matecconf/201930100005 |
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Katalog-ID: |
DOAJ056178344 |
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10.1051/matecconf/201930100005 doi (DE-627)DOAJ056178344 (DE-599)DOAJc0688bc3cf044a79b956f9d69169fd38 DE-627 ger DE-627 rakwb eng fre TA1-2040 Rolli Fernando verfasserin aut Clinical risk evaluation of medical device software: an axiomatic design-based methodology 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. Engineering (General). Civil engineering (General) Pecoraro Fabrizio verfasserin aut Luzi Daniela verfasserin aut Ricci Fabrizio L. verfasserin aut Pourabbas Elaheh verfasserin aut Parretti Chiara verfasserin aut In MATEC Web of Conferences EDP Sciences, 2013 301, p 00005(2019) (DE-627)720166209 (DE-600)2673602-0 2261236X nnns volume:301, p 00005 year:2019 https://doi.org/10.1051/matecconf/201930100005 kostenfrei https://doaj.org/article/c0688bc3cf044a79b956f9d69169fd38 kostenfrei https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00005.pdf kostenfrei https://doaj.org/toc/2261-236X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 301, p 00005 2019 |
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10.1051/matecconf/201930100005 doi (DE-627)DOAJ056178344 (DE-599)DOAJc0688bc3cf044a79b956f9d69169fd38 DE-627 ger DE-627 rakwb eng fre TA1-2040 Rolli Fernando verfasserin aut Clinical risk evaluation of medical device software: an axiomatic design-based methodology 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. Engineering (General). Civil engineering (General) Pecoraro Fabrizio verfasserin aut Luzi Daniela verfasserin aut Ricci Fabrizio L. verfasserin aut Pourabbas Elaheh verfasserin aut Parretti Chiara verfasserin aut In MATEC Web of Conferences EDP Sciences, 2013 301, p 00005(2019) (DE-627)720166209 (DE-600)2673602-0 2261236X nnns volume:301, p 00005 year:2019 https://doi.org/10.1051/matecconf/201930100005 kostenfrei https://doaj.org/article/c0688bc3cf044a79b956f9d69169fd38 kostenfrei https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00005.pdf kostenfrei https://doaj.org/toc/2261-236X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 301, p 00005 2019 |
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10.1051/matecconf/201930100005 doi (DE-627)DOAJ056178344 (DE-599)DOAJc0688bc3cf044a79b956f9d69169fd38 DE-627 ger DE-627 rakwb eng fre TA1-2040 Rolli Fernando verfasserin aut Clinical risk evaluation of medical device software: an axiomatic design-based methodology 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. Engineering (General). Civil engineering (General) Pecoraro Fabrizio verfasserin aut Luzi Daniela verfasserin aut Ricci Fabrizio L. verfasserin aut Pourabbas Elaheh verfasserin aut Parretti Chiara verfasserin aut In MATEC Web of Conferences EDP Sciences, 2013 301, p 00005(2019) (DE-627)720166209 (DE-600)2673602-0 2261236X nnns volume:301, p 00005 year:2019 https://doi.org/10.1051/matecconf/201930100005 kostenfrei https://doaj.org/article/c0688bc3cf044a79b956f9d69169fd38 kostenfrei https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00005.pdf kostenfrei https://doaj.org/toc/2261-236X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 301, p 00005 2019 |
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10.1051/matecconf/201930100005 doi (DE-627)DOAJ056178344 (DE-599)DOAJc0688bc3cf044a79b956f9d69169fd38 DE-627 ger DE-627 rakwb eng fre TA1-2040 Rolli Fernando verfasserin aut Clinical risk evaluation of medical device software: an axiomatic design-based methodology 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. Engineering (General). Civil engineering (General) Pecoraro Fabrizio verfasserin aut Luzi Daniela verfasserin aut Ricci Fabrizio L. verfasserin aut Pourabbas Elaheh verfasserin aut Parretti Chiara verfasserin aut In MATEC Web of Conferences EDP Sciences, 2013 301, p 00005(2019) (DE-627)720166209 (DE-600)2673602-0 2261236X nnns volume:301, p 00005 year:2019 https://doi.org/10.1051/matecconf/201930100005 kostenfrei https://doaj.org/article/c0688bc3cf044a79b956f9d69169fd38 kostenfrei https://www.matec-conferences.org/articles/matecconf/pdf/2019/50/matecconf_icad2019_00005.pdf kostenfrei https://doaj.org/toc/2261-236X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 301, p 00005 2019 |
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The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. |
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The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. |
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The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities. |
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