Enhancing guideline-based decision support with distributed computation through local mobile application

Erez Shalom; Yuval Shahar; Ayelet Goldstein; Elior Ariel; Silvana Quaglini; Lucia Sacchi; L.S.N. Fung; Valerie M. Jones; T.H.F. Broens; Gema García-Sáez; Elena Hernando

doi:10.1007/978-3-319-15895-2_5

Enhancing guideline-based decision support with distributed computation through local mobile application

Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Silvana Quaglini, Lucia Sacchi, L.S.N. Fung, Valerie M. Jones, T.H.F. Broens, Gema García-Sáez, Elena Hernando

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

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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.

Original language	English
Title of host publication	Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014)
Publisher	ProHealth
Pages	53-58
Number of pages	7
ISBN (Print)	978-3-319-15894-5
DOIs	https://doi.org/10.1007/978-3-319-15895-2_5
Publication status	Published - 2014
Event	7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014), Eindhoven, The Netherlands: Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014) - Duration: 1 Jan 2014 → …

Conference

Conference	7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014), Eindhoven, The Netherlands
Period	1/01/14 → …

Keywords

EWI-25856
BSS-Technology supported cognitive training
Decision support
METIS-309935
IR-94707
Clinical guidelines
Distributed Computing

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10.1007/978-3-319-15895-2_5

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Shalom, E., Shahar, Y., Goldstein, A., Ariel, E., Quaglini, S., Sacchi, L., Fung, L. S. N., Jones, V. M., Broens, T. H. F., García-Sáez, G., & Hernando, E. (2014). Enhancing guideline-based decision support with distributed computation through local mobile application. In Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014) (pp. 53-58). ProHealth. https://doi.org/10.1007/978-3-319-15895-2_5

@inproceedings{fbbe00f90be04620b1605e16fc270bc7,

title = "Enhancing guideline-based decision support with distributed computation through local mobile application",

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{\textquoteright}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.",

keywords = "EWI-25856, BSS-Technology supported cognitive training, Decision support, METIS-309935, IR-94707, Clinical guidelines, Distributed Computing",

author = "Erez Shalom and Yuval Shahar and Ayelet Goldstein and Elior Ariel and Silvana Quaglini and Lucia Sacchi and L.S.N. Fung and Jones, {Valerie M.} and T.H.F. Broens and Gema Garc{\'i}a-S{\'a}ez and Elena Hernando",

year = "2014",

doi = "10.1007/978-3-319-15895-2_5",

language = "English",

isbn = "978-3-319-15894-5",

pages = "53--58",

booktitle = "Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014)",

publisher = "ProHealth",

note = "7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014), Eindhoven, The Netherlands : Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014) ; Conference date: 01-01-2014",

}

Shalom, E, Shahar, Y, Goldstein, A, Ariel, E, Quaglini, S, Sacchi, L, Fung, LSN, Jones, VM, Broens, THF, García-Sáez, G & Hernando, E 2014, Enhancing guideline-based decision support with distributed computation through local mobile application. in Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014). ProHealth, pp. 53-58, 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014), Eindhoven, The Netherlands, 1/01/14. https://doi.org/10.1007/978-3-319-15895-2_5

Enhancing guideline-based decision support with distributed computation through local mobile application. / Shalom, Erez; Shahar, Yuval; Goldstein, Ayelet et al.
Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014). ProHealth, 2014. p. 53-58.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Enhancing guideline-based decision support with distributed computation through local mobile application

AU - Shalom, Erez

AU - Shahar, Yuval

AU - Goldstein, Ayelet

AU - Ariel, Elior

AU - Quaglini, Silvana

AU - Sacchi, Lucia

AU - Fung, L.S.N.

AU - Jones, Valerie M.

AU - Broens, T.H.F.

AU - García-Sáez, Gema

AU - Hernando, Elena

PY - 2014

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N2 - 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.

AB - 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.

KW - EWI-25856

KW - BSS-Technology supported cognitive training

KW - Decision support

KW - METIS-309935

KW - IR-94707

KW - Clinical guidelines

KW - Distributed Computing

U2 - 10.1007/978-3-319-15895-2_5

DO - 10.1007/978-3-319-15895-2_5

M3 - Conference contribution

SN - 978-3-319-15894-5

SP - 53

EP - 58

BT - Proceedings of the 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014)

PB - ProHealth

T2 - 7th International Workshop on Process-oriented Information Systems in Healthcare (ProHealth 2014), Eindhoven, The Netherlands

Y2 - 1 January 2014

ER -

Enhancing guideline-based decision support with distributed computation through local mobile application

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Keywords

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