Guidelines-based workflow systems

S. Quaglini; C. Mossa; C. Fassino; M. Stefanelli; A. Cavallini; G. Micieli

Guidelines-based workflow systems

S. Quaglini, C. Mossa, C. Fassino, M. Stefanelli, A. Cavallini, G. Micieli

Fondazione "Istituto Neurologico Casimiro Mondino"

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes a methodology for achieving an efficient allocation of resources while using clinical practice guidelines. The resulting system can be classified as a “guideline-based patient workflow management system”. Both medical and organisational knowledge are represented through computational formalisms, from relational tables to Petri net. Human and technological resources, necessary to guideline-based activities, are represented within an organisational model. This allows running the Petri net for simulating the implementation of the guideline in the clinical setting, in such a way to validate the model and to suggest an optimal resource allocation, before the workflow system is installed. Finally, we are experimenting the real setting implementation. For illustrating the methodology, an application concerning the management of acute ischemic stroke is presented.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	65-75
Number of pages	11
Volume	1620
ISBN (Print)	354066162X, 9783540661627
Publication status	Published - 1999
Event	7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 - Aalborg, Denmark Duration: Jun 20 1999 → Jun 24 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1620
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999
Country	Denmark
City	Aalborg
Period	6/20/99 → 6/24/99

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

Fingerprint Dive into the research topics of 'Guidelines-based workflow systems'. Together they form a unique fingerprint.

Cite this

Quaglini, S., Mossa, C., Fassino, C., Stefanelli, M., Cavallini, A., & Micieli, G. (1999). Guidelines-based workflow systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1620, pp. 65-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1620). Springer Verlag.

Guidelines-based workflow systems. / Quaglini, S.; Mossa, C.; Fassino, C.; Stefanelli, M.; Cavallini, A.; Micieli, G.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1620 Springer Verlag, 1999. p. 65-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1620).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Quaglini, S, Mossa, C, Fassino, C, Stefanelli, M, Cavallini, A & Micieli, G 1999, Guidelines-based workflow systems. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1620, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1620, Springer Verlag, pp. 65-75, 7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Aalborg, Denmark, 6/20/99.

Quaglini S, Mossa C, Fassino C, Stefanelli M, Cavallini A , Micieli G. Guidelines-based workflow systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1620. Springer Verlag. 1999. p. 65-75. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Quaglini, S. ; Mossa, C. ; Fassino, C. ; Stefanelli, M. ; Cavallini, A. ; Micieli, G. / Guidelines-based workflow systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1620 Springer Verlag, 1999. pp. 65-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0688a7d5dfa248eaaba7044e4b15662f,

title = "Guidelines-based workflow systems",

abstract = "This paper describes a methodology for achieving an efficient allocation of resources while using clinical practice guidelines. The resulting system can be classified as a “guideline-based patient workflow management system”. Both medical and organisational knowledge are represented through computational formalisms, from relational tables to Petri net. Human and technological resources, necessary to guideline-based activities, are represented within an organisational model. This allows running the Petri net for simulating the implementation of the guideline in the clinical setting, in such a way to validate the model and to suggest an optimal resource allocation, before the workflow system is installed. Finally, we are experimenting the real setting implementation. For illustrating the methodology, an application concerning the management of acute ischemic stroke is presented.",

author = "S. Quaglini and C. Mossa and C. Fassino and M. Stefanelli and A. Cavallini and G. Micieli",

year = "1999",

language = "English",

isbn = "354066162X",

volume = "1620",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "65--75",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

note = "7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 ; Conference date: 20-06-1999 Through 24-06-1999",

}

TY - GEN

T1 - Guidelines-based workflow systems

AU - Quaglini, S.

AU - Mossa, C.

AU - Fassino, C.

AU - Stefanelli, M.

AU - Cavallini, A.

AU - Micieli, G.

PY - 1999

Y1 - 1999

N2 - This paper describes a methodology for achieving an efficient allocation of resources while using clinical practice guidelines. The resulting system can be classified as a “guideline-based patient workflow management system”. Both medical and organisational knowledge are represented through computational formalisms, from relational tables to Petri net. Human and technological resources, necessary to guideline-based activities, are represented within an organisational model. This allows running the Petri net for simulating the implementation of the guideline in the clinical setting, in such a way to validate the model and to suggest an optimal resource allocation, before the workflow system is installed. Finally, we are experimenting the real setting implementation. For illustrating the methodology, an application concerning the management of acute ischemic stroke is presented.

AB - This paper describes a methodology for achieving an efficient allocation of resources while using clinical practice guidelines. The resulting system can be classified as a “guideline-based patient workflow management system”. Both medical and organisational knowledge are represented through computational formalisms, from relational tables to Petri net. Human and technological resources, necessary to guideline-based activities, are represented within an organisational model. This allows running the Petri net for simulating the implementation of the guideline in the clinical setting, in such a way to validate the model and to suggest an optimal resource allocation, before the workflow system is installed. Finally, we are experimenting the real setting implementation. For illustrating the methodology, an application concerning the management of acute ischemic stroke is presented.

UR - http://www.scopus.com/inward/record.url?scp=84871649033&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871649033&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84871649033

SN - 354066162X

SN - 9783540661627

VL - 1620

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 65

EP - 75

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

T2 - 7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999

Y2 - 20 June 1999 through 24 June 1999

ER -