Complementary Methods for De-identifying Sensitive Data with a focus on Clinical Discourse

• Autores: Dimitrios Kokkinakis
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 45, 2010, págs. 243-246
• Idioma: inglés
• Títulos paralelos:
  • Métodos complementarios para la anonimización de datos en el dominio clínico
• Enlaces
  • Texto completo
• Resumen
  • español

    En la era de las notas clínicas en formato electrónico, las disponibilidad de datos personales para investigación, planificación y estadísticas sobre salud y seguimiento de enfermedades son algunas de las áreas en las cuales la protección de la información de los pacientes se ha convertido en un importante asunto. El objetivo de este estudio es adaptar y aplicar métodos para la anonimización de documentos, en particular en el dominio clínico. El principal reto y objetivo de esta investigación es mantener importantes conceptos en los documentos en una manera estandar y neutral que significa la encriptación sin violar la integridad de los datos personales y sin sacrificar la calidad y el significado previsto por los autores.

  • English

    In the era of the Electronic Health Record (EHR) the release of individual data for research, public health planning, health care statistics, monitoring of diagnostic tests, automated data collection for health care registries and tracking disease outbreaks are some of the areas in which the protection of Personal Health Information (PHI) has become an important concern. The purpose of this study is to adapt and apply synergetic methods to document de-identification, particularly clinical, or other sources of sensitive data. The main challenge and goal of this research is to retain important concepts and PHI in the documents in a standardized and neutral manner as means of encryption without violating the integrity of the PHI and without sacrificing the quality and intended meaning of the authors.

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