Using statistical and machine learning to help institutions detect suspicious access to electronic health records

OBJECTIVE: To determine whether statistical and machine-learning methods, when applied to electronic health record (EHR) access data, could help identify suspicious (ie, potentially inappropriate) access to EHRs. METHODS: From EHR access logs and other organizational data collected over a 2-month pe...

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Detalles Bibliográficos
Autores principales: Boxwala, Aziz A, Kim, Jihoon, Grillo, Janice M, Ohno-Machado, Lucila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128412/
https://www.ncbi.nlm.nih.gov/pubmed/21672912
http://dx.doi.org/10.1136/amiajnl-2011-000217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128412/
https://www.ncbi.nlm.nih.gov/pubmed/21672912
http://dx.doi.org/10.1136/amiajnl-2011-000217

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