The PIPAS project aims at developing a software solution to help in modelling, piloting and supervising healthcare processes for treating patients, in the area of cancer care.
The hospital world is facing increasing challenges regarding care quality, notably in the cancer domain, where patients suffering from multiples pathologies have to follow complex treatments, and rely on shared infrastructure. The modelling of clinical pathways is increasingly used to explicit the key steps of those treatments and contribute to answer their inherent challenges.
The objective of the project is to support the implementation of process management systems for driving clinical pathways, and overcome the limitations of current systems. Current systems are based on imperative workflows which are unable to take into account the interferences between workflows. The proposed approach is based on mixed imperative-declarative models, operators enabling the engineering of complex workflows and tools for the optimal process enactment wrt. declarative constraints such as timing constraints.
PIPAS project produced a toolset supporting:
The produced software meets real needs faced by hospitals to ensure care quality with limited resources and clinical processes growing in number and complexity.
The principles and tool developed by PIPAS for piloting hospital processes and clinical pathways can be exploited by medical software editors addressing this domain or directly by large hospitals which are managing the integration of IT innovation themselves.
The underlying principles are reusable by hospitals managing their IT infrastructure and support themselves, as well as by broader workflow management system editors.
Agenda
01.12.2015
01.12.2015
Oscar.CBLS
Under care quality, resource, and ethical constraints
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14.09.2015
14.09.2015
Oscar.CBLS
An open source platform for operational research (LGPL)
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02.12.2016
02.12.2016
Software industry
MiniZinc Challenge 2016
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Publications
17.07.2019
17.07.2019
Communication scientifique
Christophe Ponsard, Renaud De Landtsheer, Combining Predictive and Prescriptive Analyticsto Improve Clinical Pathways, ERCIM News 118 Special...
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28.04.2017
28.04.2017
Publications scientifiques
Christophe Ponsard, Renaud De Landtsheer, François Roucoux and Bernard Lambeau, Decision Making Support in the Scheduling of Chemotherapy Coping...
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08.06.2015
08.06.2015
Publications scientifiques
Renaud De Landtsheer, Yoann Guyot, Christophe Ponsard, François Roucoux, Optimal Scheduling of Chemotherapy Deliveries under Quality of Care,...
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30.01.2014
30.01.2014
Publications scientifiques
Renaud De Landtsheer, Yoann Guyot, Christophe Ponsard, A high-level, modular and declarative modeling framework for routing problems, 28th annual...
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