Enhancing Guideline-based decision support with distributed computation through local mobile application

Shalom, Erez; Shahar, Yuval; Goldstein, Ayelet; Ariel, Elior; Quaglini, Silvana; Sacchi, Lucia; Fung, Nick; Jones, Valerie; Broens, Tom; García Sáez, Gema y Hernando Pérez, María Elena (2014). Enhancing Guideline-based decision support with distributed computation through local mobile application. En: "Business Process Management Workshops (BPM 2014)", 07/09/2014 - 08/09/2014, Eindhoven, The Netherlands. pp. 53-58. https://doi.org/10.1007/978-3-319-15895-2_5.

Descripción

Título: Enhancing Guideline-based decision support with distributed computation through local mobile application
Autor/es:
  • Shalom, Erez
  • Shahar, Yuval
  • Goldstein, Ayelet
  • Ariel, Elior
  • Quaglini, Silvana
  • Sacchi, Lucia
  • Fung, Nick
  • Jones, Valerie
  • Broens, Tom
  • García Sáez, Gema
  • Hernando Pérez, María Elena
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Business Process Management Workshops (BPM 2014)
Fechas del Evento: 07/09/2014 - 08/09/2014
Lugar del Evento: Eindhoven, The Netherlands
Título del Libro: Lecture Notes in Business Information Processing
Fecha: 2014
Volumen: 202
Materias:
Palabras Clave Informales: Clinical guidelines, decision support, distributed computing
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica y Bioingeniería
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

We introduce the need for a distributed guideline-based decision sup-port (DSS) process, describe its characteristics, and explain how we implement-ed this process within the European Union?s MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., 'downloading' small portions of the guideline from the central DSS server, to the local DSS in the patient's mobile device, which then applies that portion, us-ing the mobile device's local resources. The mobile device sends a callback to the central DSS when it encounters a triggering pattern predefined in the pro-jected module, which leads to an appropriate predefined action by the central DSS, including sending a new projected module, or directly controlling the rest of the workflow. We suggest that such a distributed architecture that explicitly defines a dialog between a central DSS server and a local DSS module, better balances the computational load and exploits the relative advantages of the cen-tral server and of the local mobile device.

Más información

ID de Registro: 36606
Identificador DC: http://oa.upm.es/36606/
Identificador OAI: oai:oa.upm.es:36606
Identificador DOI: 10.1007/978-3-319-15895-2_5
Depositado por: Memoria Investigacion
Depositado el: 20 Jul 2015 19:08
Ultima Modificación: 01 May 2016 22:56
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