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

Shalom, Erez and Shahar, Yuval and Goldstein, Ayelet and Ariel, Elior and Quaglini, Silvana and Sacchi, Lucia and Fung, Nick and Jones, Valerie and Broens, Tom and García Sáez, Gema and Hernando Pérez, María Elena (2014). Enhancing Guideline-based decision support with distributed computation through local mobile application. In: "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.

Description

Title: Enhancing Guideline-based decision support with distributed computation through local mobile application
Author/s:
  • 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
Item Type: Presentation at Congress or Conference (Article)
Event Title: Business Process Management Workshops (BPM 2014)
Event Dates: 07/09/2014 - 08/09/2014
Event Location: Eindhoven, The Netherlands
Title of Book: Lecture Notes in Business Information Processing
Date: 2014
Volume: 202
Subjects:
Freetext Keywords: Clinical guidelines, decision support, distributed computing
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 36606
DC Identifier: http://oa.upm.es/36606/
OAI Identifier: oai:oa.upm.es:36606
DOI: 10.1007/978-3-319-15895-2_5
Deposited by: Memoria Investigacion
Deposited on: 20 Jul 2015 19:08
Last Modified: 01 May 2016 22:56
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