Abstract
We introduce the need for a distributed guideline-based decision support (DSS) process, describe its characteristics, and explain how we implemented this process within the European Union’s MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., ‘downloading’ small portions of the guideline from the central DSS server, to the local DSS in the patient’s mobile device, which then applies that portion, using the mobile device’s local resources. The mobile device sends a callback to the central DSS when it encounters a triggering pattern predefined in the projected module, which leads to an appropriate predefined action by the central DSS, including sending a new projected module, or directly controlling the rest of the workflow. We suggest that such a distributed architecture that explicitly defines a dialog between a central DSS server and a local DSS module, better balances the computational load and exploits the relative advantages of the central server and of the local mobile device.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chomutare, T., Fernandez-Luque, L., Arsand, E., Hartvigsen, G.: Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J. Med. Internet Res. 13(3), e65 (2011). doi:10.2196/jmir.1874
Peleg, M., Shahar, Y., Quaglini, S.: Making healthcare more accessible, better, faster, and cheaper: the MobiGuide project. Eur. J. ePractice Issue Mob. eHealth 20, 5–20 (2014)
Besana, P., Barker, A.: Towards decentralised clinical decision support systems. In: Brahnam, S., Jain, L.C. (eds.) Advanced Computational Intelligence Paradigms in Healthcare 5. SCI, vol. 326, pp. 27–44. Springer, Heidelberg (2010)
Shalom, E., Shahar, Y., Taieb-Maimon, M., Lunenfeld, E., Bar, G., Yarkoni, A., Young, O., Martins, S.B., Vaszar, L.T., Goldstein, M.K., Liel, Y., Leibowitz, A., Marom, T., Lunenfeld, E.: A quantitative evaluation of a methodology for collaborative specification of clinical guidelines at multiple representation levels. J. BioMed. Inform. 41(6), 889–903 (2008)
Sacchi, L., Fux, A., Napolitano, C., Panzarasaa, S., Peleg, M., Quaglini, S., Shalom, E., Soffer, P., Tormene, P.: Patient-tailored workflow patterns from clinical practice guidelines recommendations. In: Medinfo 2013 (2013)
García-Sáez, G., Rigla, M., Martínez-Sarriegui, I., Shalom, E., Peleg, M., Broens, T., Pons, B., Caballero-Ruíz, E., Gómez, E.J., Hernando, M.E.: Patient-oriented computerized clinical guidelines for mobile decision support in gestational diabetes. J. Diabetes Sci. Technol. (2014). doi:10.1177/1932296814526492
Shahar, Y., Young, O., Shalom, E., Galperin, M., Mayaffit, A., Moskovitch, R., et al.: A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools. J. Biomed. Inform. 37(5), 325–344 (2004)
Acknowledgements
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Shalom, E. et al. (2015). Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-15895-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15894-5
Online ISBN: 978-3-319-15895-2
eBook Packages: Computer ScienceComputer Science (R0)