![](bgc.png)
(1) we support the distinction between the
responsibles of actions, and their executors;
we support the delegation of responsibility
(2) we represent and manage continuity
constraints
(3) we manage the execution of GLs expressed
in META-GLARE formalism (while
(Bottrighi et al., 2013) considered only
GLARE formalism), thus also supporting
n:1, 1:n, and n:m arcs (i.e., concurrency in
the GL execution).
ACKNOWLEDGEMENTS
The authors are very grateful to Prof. Gianpaolo
Molino and Dr. Mauro Torchio of Azienda
Ospedaliera San Giovanni Battista in Turin (one of
the largest hospitals in Italy) for their constant
support, and for their help in the definition of the
case study.
REFERENCES
Anselma, L., Terenziani, P., Montani, S., Bottrighi, A.,
2006. Towards a comprehensive treatment of repeti-
tions, periodicity and temporal constraints in clinical
guidelines. Artif. Intell. Med., Temporal Representa-
tion and Reasoning in Medicine 38, 171–195.
Bottrighi, A., Giordano, L., Molino, G., Montani, S.,
Terenziani, P., Torchio, M., 2010. Adopting model
checking techniques for clinical guidelines
verification. Artif. Intell. Med. 48, 1–19.
Bottrighi, A., Molino, G., Montani, S., Terenziani, P.,
Torchio, M., 2013. Supporting a distributed execution
of clinical guidelines. Comput. Methods Programs
Biomed. 112, 200–210.
Bottrighi, A., Terenziani, P., 2016. META-GLARE: A
meta-system for defining your own computer
interpretable guideline system—Architecture and
acquisition. Artif. Intell. Med. 72, 22–41.
Field, M. J., Lohr, K. N. (Eds.), 1990. Clinical Practice
Guidelines: Directions for a New Program. National
Academies Press (US), Washington (DC).
Fridsma, D. B., 2001. Special Issue on Workflow
Management and Clinical Guidelines. J. Am. Med.
Inform. Assoc. 22, 1–80.
Gordon, C., Christensen, J. P. (Eds.), 1995. Health
Telematics for Clinical Guidelines and Protocols. IOS
Press, Amsterdam.
Grando, A., Peleg, M., Glasspool, D., 2010. Goal-based
design pattern for delegation of work in health care
teams. Stud. Health Technol. Inform. 160, 299–303.
Isern, D., Moreno, A., 2016. A Systematic Literature
Review of Agents Applied in Healthcare. J. Med. Syst.
40.
Isern, D., Moreno, A., 2008. Computer-based execution of
clinical guidelines: A review. Int. J. Med. Inf. 77, 787–
808.
Leonardi, G., Panzarasa, S., Quaglini, S., Stefanelli, M.,
van der Aalst, W.M.P., 2007. Interacting agents
through a web-based health serviceflow management
system. J. Biomed. Inform. 40, 486–499.
Montani, S., Terenziani, P., 2006. Exploiting decision
theory concepts within clinical guideline systems:
Toward a general approach. Int J Intell Syst 21, 585–
599.
Montani, S., Terenziani, P., Bottrighi, A., 2005. Exploiting
decision theory for supporting therapy selection in
computerized clinical guidelines. Lect. Notes Comput.
Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes
Bioinforma. 3581 LNAI, 136–140.
Peleg, M., 2013. Computer-interpretable clinical guide-
lines: A methodological review. J. Biomed. Inform.
46, 744–763.
Piovesan, L., Molino, G., Terenziani, P., 2014. Supporting
Physicians in the Detection of the Interactions between
Treatments of Co-Morbid Patients, in: Healthcare
Informatics and Analytics: Emerging Issues and
Trends. IGI Global, pp. 165–193.
Sánchez, D., Isern, D., Rodríguez-Rozas, Á., Moreno, A.,
2011. Agent-based platform to support the execution
of parallel tasks. Expert Syst. Appl. 38, 6644–6656. y.
Scottish Intercollegiate Guidelines Network, n.d.
Management of harmful drinking and alcohol
dependence in primary care [WWW Document]. URL
http://www.sign.ac.uk/guidelines/fulltext/74/index.htm
l (last accessed 05.10.17).
Sutton, D.R., Fox, J., 2003. The Syntax and Semantics of
the PROforma Guideline Modeling Language. J. Am.
Med. Inform. Assoc. JAMIA 10, 433–443.
Terenziani, P., Bottrighi, A., Rubrichi, S., 2014. META-
GLARE: a meta-system for defining your own CIG
system: Architecture and Acquisition, in: KR4HC. pp.
92–107.
Terenziani, P., Montani, S., Bottrighi, A., Molino, G.,
Torchio, M., 2008. Applying artificial intelligence to
clinical guidelines: the GLARE approach. Stud. Health
Technol. Inform. 139, 273–282.
Terenziani, P., Montani, S., Bottrighi, A., Torchio, M.,
Molino, G., 2002. Supporting physicians in taking
decisions in clinical guidelines: the GLARE“ what if”
facility. Proc. AMIA Symp. 772.
Terenziani, P., Montani, S., Bottrighi, A., Torchio, M.,
Molino, G., Correndo, G., 2004. A context-adaptable
approach to clinical guidelines. Stud. Health Technol.
Inform. 107, 169–173.
Wilk, S., Astaraky, D., Michalowski, W., Amyot, D., Li,
R., Kuziemsky, C., Andreev, P., 2015. MET4:
Supporting Workflow Execution for Interdisciplinary
Healthcare Teams, in: Fournier, F., Mendling, J.
(Eds.), Business Process Management Workshops.
Springer International Publishing, Cham, pp. 40–52.
Supporting Multiple Agents in the Execution of Clinical Guidelines
219