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Identification of Patient Safety Risks Associated with Electronic Health Records: A Software Quality Perspective.
Virginio, Luiz A; Ricarte, Ivan Luiz Marques.
Afiliación
  • Virginio LA; School of Electrical Engineering and Computation, University of Campinas, Campinas, SP, Brazil.
  • Ricarte IL; School of Technology, University of Campinas, Limeira, SP, Brazil.
Stud Health Technol Inform ; 216: 55-9, 2015.
Article en En | MEDLINE | ID: mdl-26262009
Although Electronic Health Records (EHR) can offer benefits to the health care process, there is a growing body of evidence that these systems can also incur risks to patient safety when developed or used improperly. This work is a literature review to identify these risks from a software quality perspective. Therefore, the risks were classified based on the ISO/IEC 25010 software quality model. The risks identified were related mainly to the characteristics of "functional suitability" (i.e., software bugs) and "usability" (i.e., interface prone to user error). This work elucidates the fact that EHR quality problems can adversely affect patient safety, resulting in errors such as incorrect patient identification, incorrect calculation of medication dosages, and lack of access to patient data. Therefore, the risks presented here provide the basis for developers and EHR regulating bodies to pay attention to the quality aspects of these systems that can result in patient harm.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Errores Médicos / Registros Electrónicos de Salud / Minería de Datos / Seguridad del Paciente / Uso Significativo / Exactitud de los Datos Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2015 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Errores Médicos / Registros Electrónicos de Salud / Minería de Datos / Seguridad del Paciente / Uso Significativo / Exactitud de los Datos Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2015 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos