A vision for enhancing multimorbid care using clinical decision support systems

Audrey Grace, Carolanne Mahony, John O'donoghue, Tony Heffernan, David Molony, Thomas Carroll

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

Abstract

There has been a substantial increase in Multimorbidity, worldwide. Extensive empirical research has found that General Practitioners (GPs) often feel overwhelmed when dealing with such patients [1]. While clinical decision support systems (CDSS) are effective at reducing clinical decision errors and improving healthcare processes across diverse settings [2], the use of CDSS within multimorbidity care is under investigated. This study employs a multi-method approach to examine how well CDSS currently support Irish GPs when dealing with multimorbid patients. The findings uncover a number of inadequacies, including: a lack of provision of integrated medical guidelines for multiple chronic diseases within current CDSS; and an inability to centralise the patient rather than the disease using such systems. This research underlines the need for further research into CDSS for multimorbidity and highlights key issues that must be addressed in order to improve how CDSS support the care of multimorbid patients.

Original languageEnglish
Title of host publicationMEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PublisherIOS Press
Pages1117
Number of pages1
Edition1-2
ISBN (Print)9781614992882
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark
Duration: 20 Aug 201323 Aug 2013

Publication series

NameStudies in Health Technology and Informatics
Number1-2
Volume192
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference14th World Congress on Medical and Health Informatics, MEDINFO 2013
Country/TerritoryDenmark
CityCopenhagen
Period20/08/1323/08/13

Keywords

  • Chronic Disease
  • Clinical Decision Support Systems
  • Computer-Assisted Decision Making
  • Multimorbidity

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