TY - GEN
T1 - Implementation of a distributed guideline-based decision support model within a patient-guidance framework
AU - Shalom, Erez
AU - Shahar, Yuval
AU - Goldstein, Ayelet
AU - Ariel, Elior
AU - Sheinberger, Moshe
AU - Fung, Nick
AU - Jones, Val
AU - van Schooten, Boris
N1 - Funding Information:
The MobiGuide project ( http://www.mobiguide-project.eu/ ) has received funding from the EU’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 287811.
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - We report on new projection engine which was developed in order to implement a distributed guideline-based decision support system (DSS) within the European project MobiGuide.In this model, small portions of the guideline knowledge are projected, i.e. ‘downloaded’, from a central DSS server to a local DSS in the patient’s mobile device, which then applies that knowledge using the mobile device’s local resources. Furthermore, the projection engine generates guideline projections which are adapted to the patient’s previously defined preferences and, implicitly, to the patient’s current context, which is embodied in the projected knowledge. We evaluated this distributed guideline application model for two complex guidelines: one for Gestational Diabetes Mellitus, and one for Atrial Fibrillation. We found that the initial specification of what we refer to as the customized guideline should be in the terms of the distributed DSS, i.e., include two levels: one for the central DSS, and one for the local DSS. In addition, we found significant differences between the customized, distributed versions of the two guidelines, indicating further research directions and possibly additional ways to analyze and characterize guidelines.
AB - We report on new projection engine which was developed in order to implement a distributed guideline-based decision support system (DSS) within the European project MobiGuide.In this model, small portions of the guideline knowledge are projected, i.e. ‘downloaded’, from a central DSS server to a local DSS in the patient’s mobile device, which then applies that knowledge using the mobile device’s local resources. Furthermore, the projection engine generates guideline projections which are adapted to the patient’s previously defined preferences and, implicitly, to the patient’s current context, which is embodied in the projected knowledge. We evaluated this distributed guideline application model for two complex guidelines: one for Gestational Diabetes Mellitus, and one for Atrial Fibrillation. We found that the initial specification of what we refer to as the customized guideline should be in the terms of the distributed DSS, i.e., include two levels: one for the central DSS, and one for the local DSS. In addition, we found significant differences between the customized, distributed versions of the two guidelines, indicating further research directions and possibly additional ways to analyze and characterize guidelines.
KW - Clinical guidelines
KW - Decision support
KW - Distributed computing
UR - http://www.scopus.com/inward/record.url?scp=84952651009&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26585-8_8
DO - 10.1007/978-3-319-26585-8_8
M3 - Conference contribution
AN - SCOPUS:84952651009
SN - 9783319265841
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 111
EP - 125
BT - Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers
A2 - Reichert, Manfred
A2 - Riaño, David
A2 - Peleg, Mor
A2 - ten Teije, Annette
A2 - Lenz, Richard
A2 - Miksch, Silvia
PB - Springer Verlag
T2 - Artificial 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
Y2 - 20 June 2015 through 20 June 2015
ER -
