A quality-of-data aware mobile decision support system for patients with chronic illnesses

Nekane Larburu, Boris van Schooten, Erez Shalom, Nick Fung, Marten van Sinderen, Hermie Hermens, Val Jones

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We present a mobile decision support system (mDSS) which runs on a patient Body Area Network consisting of a smartphone and a set of biosensors. Quality-of-Data (QoD) awareness in decision making is achieved by means of a component known as the Quality-of-Data Broker, which also runs on the smartphone. The QoD-aware mDSS collaborates with a more sophisticated decision support system running on a fixed back-end server in order to provide distributed decision support. This distributed decision support system has been implemented as part of a larger system developed during the European project MobiGuide. The MobiGuide system is a guideline-based Patient Guidance System designed to assist patients in the management of chronic illnesses. The system, including the QOD-aware mDSS, has been validated by clinicians and is being evaluated in patient pilots against two clinical guidelines.

Original languageEnglish
Title of host publicationKnowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers
EditorsManfred Reichert, David Riaño, Mor Peleg, Annette ten Teije, Richard Lenz, Silvia Miksch
PublisherSpringer Verlag
Pages126-139
Number of pages14
ISBN (Print)9783319265841
DOIs
StatePublished - 1 Jan 2015
EventArtificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015 - Pavia, Italy
Duration: 20 Jun 201520 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9485
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceArtificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015
Country/TerritoryItaly
CityPavia
Period20/06/1520/06/15

Keywords

  • Computer-interpretable clinical guidelines
  • Context-aware healthcare processes
  • Decision support
  • Knowledge representation for healthcare processes
  • Mobile process and task support in healthcare

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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