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A probabilistic model for reducing medication errors: A sensitivity analysis using Electronic Health Records data.
Huang, Chu-Ya; Nguyen, Phung-Anh; Yang, Hsuan-Chia; Islam, Md Mohaimenul; Liang, Chia-Wei; Lee, Fei-Peng; Jack Li, Yu-Chuan.
Afiliación
  • Huang CY; Graduate Institute of Biomedical Informatics, College of Medical Science & Technology, Taipei Medical University, Taipei, Taiwan; Taiwan College of Healthcare Executives, Taipei, Taiwan.
  • Nguyen PA; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.
  • Yang HC; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.
  • Islam MM; Graduate Institute of Biomedical Informatics, College of Medical Science & Technology, Taipei Medical University, Taipei, Taiwan.
  • Liang CW; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.
  • Lee FP; Department of Otolaryngology, Taipei Medical University Shuang-Ho Hospital, New Taipei City, Taiwan.
  • Jack Li YC; Graduate Institute of Biomedical Informatics, College of Medical Science & Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan; Department of Dermatology, Taipei Medical University Wan-Fang Hospi
Comput Methods Programs Biomed ; 170: 31-38, 2019 Mar.
Article en En | MEDLINE | ID: mdl-30712602

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Registros Electrónicos de Salud / Errores de Medicación Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Irlanda

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Registros Electrónicos de Salud / Errores de Medicación Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Irlanda