Please use this identifier to cite or link to this item:

TitleApplying Speculative Computation to Guideline-based Decision Support Systems
Author(s)Oliveira, T.
Neves, José
Novais, Paulo
Satoh, Ken
KeywordsComputer-Interpretable Guiddelines
Decision Support
Speculative Computation
Abductive Reasoning
Clinical Decision Support
Computer-Interpretable Guidelines
Issue date2014
JournalProceedings - IEEE Symposium on Computer-Based Medical Systems
CitationOliveira T., Neves J., Novais P., Satoh K., Applying Speculative Computation to Guideline-based Decision Support Systems, 27th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2014), New York, USA, IEEE, pp 42-47, 2014.
Abstract(s)Clinical Practice Guidelines, as evidence-based recommendations are the ideal support for Clinical Decision Support Systems. The intricacies of a guideline execution tool are related with the establishment of a care flow with an appropriate order between procedures and the modelling of decision points. One of such decision points is the choice between alternative tasks based on trigger conditions regarding a patient's state. It may be the case that, when there is the need to choose one of the alternative tasks, the system does not possess all the required information to do so, thus rendering impossible to reach an outcome. Speculative Computation and Abduction may increase the efficiency of this process by allowing the system to advance the computation of a solution, even while it is waiting for a response from the information sources. This work provides the basis for a Speculative Computation framework able to cope with decisions of clinical care flows. The methods developed herein were devised to support practitioners and to improve patient-centred medicine by providing maps of the most likely evolution of a patient, even when the information is incomplete.
TypeConference paper
Publisher version
AccessOpen access
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

Files in This Item:
File Description SizeFormat 
2014 - IEEE CBMS.pdf358,82 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID