Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/66933
Título: | A use error taxonomy for improving human-machine interface design in medical devices |
Autor(es): | Silva, Carlos Masci, Paolo Zhang, Yi Jones, Paul Campos, José C. |
Palavras-chave: | Human-machine interface (HMI) Medical devices Use error |
Data: | 2019 |
Editora: | Association for Computing Machinery |
Revista: | ACM SIGBED Review |
Resumo(s): | Use error is one of the leading causes of medical device incidents. It is crucial for all stakeholders to have a unified means to better understand, classify, communicate, and prevent/avoid medical device use errors. In this paper, we present our ongoing work on developing a new use error taxonomy for medical devices that has the potential to enable fine-grained analysis of use errors and their root causes in system design. Our ultimate goal is to create a generic framework that can be used by medical device designers to better identify effective design solutions to mitigating use errors. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/66933 |
DOI: | 10.1145/3357495.3357498 |
ISSN: | 1551-3688 |
Versão da editora: | https://dl.acm.org/doi/10.1145/3357495.3357498 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | HASLab - Artigos em revistas internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2019-MCPS.pdf | Accepted Manuscript | 454,03 kB | Adobe PDF | Ver/Abrir |