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Code Wisely: Risk assessment and mitigation for custom clinical software.
Cardan, Rex A; Covington, Elizabeth L; Popple, Richard A.
Afiliação
  • Cardan RA; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Covington EL; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Popple RA; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
J Appl Clin Med Phys ; 22(8): 273-279, 2021 Aug.
Article em En | MEDLINE | ID: mdl-34247454
PURPOSE: The task of software development has become an increasing part of the medical physicist's role. Many physicists who are untrained in the best practices of software development have begun creating scripts for clinical use. There is an increasing need for guidance for both developers and medical physicists to code wisely in the clinic. MATERIALS AND METHODS: We created a novel model for assessing risk for custom clinical software analogous to failure modes and effects analysis and propose minimum best practices that should be followed to mitigate the risks. Using this risk model, we integrated a literature review and institutional experience to form a practical guide for risk mitigation. RESULTS: Using this new risk assessment model, we outlined several risk mitigation techniques including unit testing, code review, source control, end-user testing, and commissioning from the literature while sharing our institutional guidelines for evaluating software for risk and implementing these strategies. CONCLUSION: We found very little literature for custom software development guidelines targeted at medical physicists. We have shared our institutional experience and guidelines to help facilitate safe software development for the evolving role of the medical physicist.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Tipo de estudo: Etiology_studies / Guideline / Risk_factors_studies Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Tipo de estudo: Etiology_studies / Guideline / Risk_factors_studies Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos