Guideline for software life cycle in health informatics

Hauschild, Anne-Christin; Martin, Roman; Wienbeck, Joachim; Heider, Dominik

doi:10.1016/j.isci.2022.105534

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…For version control and testing, we would not anticipate any significant changes, as there are some fundamental methods for version control and testing, and anything new would typically be built upon one of the existing models. There are many different models for the software development life cycle 7 , and it is possible that in the near future, a new model may be developed, though it will most likely be a combination or variation of one of the main existing models. Pathologists will likely become more involved in the informatics space in the near to medium-term, driving development on the cutting edge of both anatomical and clinical pathology.…”

Section: Resultsmentioning

confidence: 99%

Proceedings of the Association for Pathology Informatics Bootcamp 2022

Obstfeld,

Brodsky,

Carter

et al. 2023

Journal of Pathology Informatics

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Section: Resultsmentioning

confidence: 99%

Proceedings of the Association for Pathology Informatics Bootcamp 2022

Obstfeld,

Brodsky,

Carter

et al. 2023

Journal of Pathology Informatics

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“…Other future works include the use of our maturity model to complement guidelines such as the one proposed in [11]. The presence/absence of SEAs, their relative dependence and contributions to the score, could be used to define personalized maturity stages throughout the life of SdMTs.…”

Section: Discussionmentioning

confidence: 99%

Maturity assessment of software-driven medical technologies: a quantitative score derived from a quality standard for the research phase ^*

Haberbusch,

Dardenne,

Promayon

2023

2023 45th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Quantitatively assessing the level of readiness of medical technology improves its chance of successfully transfer from research to industry but remains a challenge. As many innovative medical devices are associated with or incorporate software, this article presents a methodology for evaluating the software maturity of a "Software-driven Medical Technology" (SdMT) during the research phase. A technological maturity model is developed by methodologically extracting relevant terms from the ISO/IEC 62304 standard, the main industry standard for medical device software, and results in a list of required software engineering artifacts. This list and the relative weight of the artifacts are used to establish a software maturity score for SdMT and the corresponding assessment questionnaire. The consistency of the model is demonstrated by analyzing the obtained score system relatively with the standard. The maturity score of a SdMT can be assessed during the research phase and depends on the number and importance of the artifacts already present at the time of evaluation. Clinical relevance-The proposed quantitative maturity score can help the medical technology innovation actors (clinicians, researchers and industrials) to better identify, improve and fasten the readiness of technology for clinical investigation and technology transfer.

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“…Moawad et al note that the deep learning component of artificial intelligence can be used for quality control, workflow and reporting [ 178 ]. This is a normal trend of medical informatics which involves the adaptation of new technologies in a medical context [ 179 ].…”

Section: Surface Electromyography In Dentistry—presentmentioning

confidence: 99%

Surface Electromyography in Dentistry—Past, Present and Future

Zieliński,

Gawda

2024

JCM

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Surface electromyography (sEMG) is a technique for measuring and analyzing the electrical signals of muscle activity using electrodes placed on the skin’s surface. The aim of this paper was to outline the history of the development and use of surface electromyography in dentistry, to show where research and technical solutions relating to surface electromyography currently lie, and to make recommendations for further research. sEMG is a diagnostic technique that has found significant application in dentistry. The historical section discusses the evolution of sEMG methods and equipment, highlighting how technological advances have influenced the accuracy and applicability of this method in dentistry. The need for standardization of musculoskeletal testing methodology is highlighted and the needed increased technical capabilities of sEMG equipment and the ability to specify parameters (e.g., sampling rates, bandwidth). A higher sampling rate (the recommended may be 2000 Hz or higher in masticatory muscles) allows more accurate recording of changes in the signal, which is essential for accurate analysis of muscle function. Bandwidth is one of the key parameters in sEMG research. Bandwidth determines the range of frequencies effectively recorded by the sEMG system (the recommended frequency limits are usually between 20 Hz and 500 Hz in masticatory muscles). In addition, the increased technical capabilities of sEMG equipment and the ability to specify electromyographic parameters demonstrate the need for a detailed description of selected parameters in the methodological section. This is necessary to maintain the reproducibility of sEMG testing. More high-quality clinical trials are needed in the future.

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Guideline for software life cycle in health informatics

Cited by 5 publications

References 33 publications

Proceedings of the Association for Pathology Informatics Bootcamp 2022

Proceedings of the Association for Pathology Informatics Bootcamp 2022

Maturity assessment of software-driven medical technologies: a quantitative score derived from a quality standard for the research phase ^*

Surface Electromyography in Dentistry—Past, Present and Future

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Guideline for software life cycle in health informatics

Cited by 5 publications

References 33 publications

Proceedings of the Association for Pathology Informatics Bootcamp 2022

Proceedings of the Association for Pathology Informatics Bootcamp 2022

Maturity assessment of software-driven medical technologies: a quantitative score derived from a quality standard for the research phase *

Surface Electromyography in Dentistry—Past, Present and Future

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Product

Resources

About

Maturity assessment of software-driven medical technologies: a quantitative score derived from a quality standard for the research phase ^*