TY - GEN
T1 - META-GLARE’s Supports to Agent Coordination
AU - Anselma, Luca
AU - Bottrighi, Alessio
AU - Piovesan, Luca
AU - Terenziani, Paolo
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Clinical Guidelines (GLs) provide evidence-based recommendations to suggest to physicians the “best” medical treatments, and are widely used to enhance the quality of patient care, and to optimize it. In many cases, the treatment of patients cannot be provided by a unique healthcare agent, operating in a unique context. For instance, the treatment of chronic patients is usually performed not only in the hospital, but also at home and\or in the general practitioner’s ambulatory, and many healthcare agents (e.g., different specialist, nurses, family doctor) may be involved. To grant the quality of the treatments, all such agents must cooperate and interact. A computer-based support to GL execution is important to provide facilities for coordinating such different agents, and for granting that, at any time, the actions to be executed have a “proper” person in charge and executor, and are executed in the correct context. Additionally, also facilities to support the delegation of responsibility should also be considered. In this paper we extend META-GLARE, a computerized GL management system, to support such needs providing facilities for (1) treatment continuity (2) action contextualization, (3) responsibility assignment and delegation (4) check of agent “appropriateness”. Specific attention is also devoted to the temporal dimension, to grant that each action is executed according to the temporal constraints possibly present in the GL. We illustrate our approach by means of a practical case study.
AB - Clinical Guidelines (GLs) provide evidence-based recommendations to suggest to physicians the “best” medical treatments, and are widely used to enhance the quality of patient care, and to optimize it. In many cases, the treatment of patients cannot be provided by a unique healthcare agent, operating in a unique context. For instance, the treatment of chronic patients is usually performed not only in the hospital, but also at home and\or in the general practitioner’s ambulatory, and many healthcare agents (e.g., different specialist, nurses, family doctor) may be involved. To grant the quality of the treatments, all such agents must cooperate and interact. A computer-based support to GL execution is important to provide facilities for coordinating such different agents, and for granting that, at any time, the actions to be executed have a “proper” person in charge and executor, and are executed in the correct context. Additionally, also facilities to support the delegation of responsibility should also be considered. In this paper we extend META-GLARE, a computerized GL management system, to support such needs providing facilities for (1) treatment continuity (2) action contextualization, (3) responsibility assignment and delegation (4) check of agent “appropriateness”. Specific attention is also devoted to the temporal dimension, to grant that each action is executed according to the temporal constraints possibly present in the GL. We illustrate our approach by means of a practical case study.
KW - Agent coordination
KW - Computer-Interpretable guidelines
KW - Temporal reasoning
UR - http://www.scopus.com/inward/record.url?scp=85071663576&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-29196-9_24
DO - 10.1007/978-3-030-29196-9_24
M3 - Conference contribution
AN - SCOPUS:85071663576
SN - 9783030291952
T3 - Communications in Computer and Information Science
SP - 464
EP - 496
BT - Biomedical Engineering Systems and Technologies - 11th International Joint Conference, BIOSTEC 2018, Revised Selected Papers
A2 - Bermúdez i Badia, Sergi
A2 - Cliquet, Alberto
A2 - Wiebe, Sheldon
A2 - Zwiggelaar, Reyer
A2 - Anderson, Paul
A2 - Fred, Ana
A2 - Gamboa, Hugo
A2 - Saggio, Giovanni
PB - Springer Verlag
T2 - 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Y2 - 19 January 2018 through 21 January 2018
ER -