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 language | English |
|---|---|
| Title of host publication | MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics |
| Publisher | IOS Press |
| Pages | 1117 |
| Number of pages | 1 |
| Edition | 1-2 |
| ISBN (Print) | 9781614992882 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark Duration: 20 Aug 2013 → 23 Aug 2013 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Number | 1-2 |
| Volume | 192 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Conference
| Conference | 14th World Congress on Medical and Health Informatics, MEDINFO 2013 |
|---|---|
| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 20/08/13 → 23/08/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
UCC Futures
- Future of Health
Keywords
- Chronic Disease
- Clinical Decision Support Systems
- Computer-Assisted Decision Making
- Multimorbidity
Fingerprint
Dive into the research topics of 'A vision for enhancing multimorbid care using clinical decision support systems'. Together they form a unique fingerprint.Research output
- 1 Chapter
-
Computerized Decision Support Systems for Multimorbidity Care: An Urgent Call for Research and Development
Grace, A., O'Donoghue, J., Mahony, C., Heffernan, T., Molony, D. & Carroll, T., 2016, Encyclopedia of E-Health and Telemedicine. Hershey, PA: IGI Global, p. 486-494 9 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver