Parallel workflows to personalize clinical guidelines recommendations: application to gestational diabetes mellitus

García Sáez, Gema; Rigla Cros, Mercedes; Shalom, E.; Peleg, Mor; Caballero Ruiz, E.; Gómez Aguilera, Enrique J. y Hernando Pérez, María Elena (2014). Parallel workflows to personalize clinical guidelines recommendations: application to gestational diabetes mellitus. En: "XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013)", 25/09/2013 - 28/09/2013, Sevilla, Spain. pp. 1409-1412. https://doi.org/10.1007/978-3-319-00846-2_349.

Descripción

Título: Parallel workflows to personalize clinical guidelines recommendations: application to gestational diabetes mellitus
Autor/es:
  • García Sáez, Gema
  • Rigla Cros, Mercedes
  • Shalom, E.
  • Peleg, Mor
  • Caballero Ruiz, E.
  • Gómez Aguilera, Enrique J.
  • Hernando Pérez, María Elena
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013)
Fechas del Evento: 25/09/2013 - 28/09/2013
Lugar del Evento: Sevilla, Spain
Título del Libro: IFMBE Proceedings
Fecha: 2014
Volumen: 41
Materias:
Palabras Clave Informales: M-health, clinical guidelines, personalized care, decision support system
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The MobiGuide system provides patients with personalized decision support tools, based on computerized clinical guidelines, in a mobile environment. The generic capabilities of the system will be demonstrated applied to the clinical domain of Gestational Diabetes (GD). This paper presents a methodology to identify personalized recommendations, obtained from the analysis of the GD guideline. We added a conceptual parallel part to the formalization of the GD guideline called "parallel workflow" that allows considering patient?s personal context and preferences. As a result of analysing the GD guideline and eliciting medical knowledge, we identified three different types of personalized advices (therapy, measurements and upcoming events) that will be implemented to perform patients? guiding at home, supported by the MobiGuide system. These results will be essential to determine the distribution of functionalities between mobile and server decision support capabilities.

Más información

ID de Registro: 26111
Identificador DC: http://oa.upm.es/26111/
Identificador OAI: oai:oa.upm.es:26111
Identificador DOI: 10.1007/978-3-319-00846-2_349
Depositado por: Memoria Investigacion
Depositado el: 27 May 2014 17:04
Ultima Modificación: 01 Feb 2015 23:56
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