Authors:
Christophe Ponsard
1
;
Renaud De Landtsheer
1
;
Yoann Guyot
1
;
François Roucoux
2
and
Bernard Lambeau
3
Affiliations:
1
CETIC Research Centre, Belgium
;
2
Grand Hôpital de Charleroi, Belgium
;
3
Enspirit, Belgium
Keyword(s):
Clinical Pathway, On-line Scheduling, Oncology, Workflow Enactment, Constraint-Based Local Search, Agent System.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Operational Research
;
Scheduling and Planning
Abstract:
The scheduling of clinical pathways such as oncological treatments involves a tricky decision process because
the therapeutic regimens require to respect strict timing constraints with possibly limited resources such as
beds and caregivers availability with an increasing number of patients. Such constraints must be met simultaneously
for every patient treated at the same time, by making the best use of limited hospital resources.
The scheduling must also be robust in case of adverse events such as unexpected delays or partial treatment
deliveries due to their toxicity. In this paper, we show how such a decision process can be driven by care
quality indicators to ensure all the dimensions. We demonstrate how constraint-based local search techniques
can cope with real-world size chemotherapy pathways and efficiently adapt to changes. We also share some
ethical concerns about the way the objective function is expressed and more generally about how the tool
integrates in the med
ical decision process.
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