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decentralization and remote access to distributed sources introduced by the involved
actors. Considering these requirements, the execution core of the platform is com-
posed by a multi-agent system which models the real-world entities involved in HC
and allow a natural interaction and coordination.
In this section we describe the design and architecture of the K4Care platform, fo-
cusing on the multi-agent system aspect and discussing the benefits that the use of this
technology brings in front of classical software development paradigms.
5.1 K4Care Architecture and Functionalities
One of the bases of the K4Care model is the medical knowledge representation and
exploitation. The idea is to separate the concrete knowledge representation associated
to a concrete medical organization from its usage at execution time. Taking this re-
quirement into consideration, the K4Care platform present a knowledge-driven design
by means of the definition of a three layered architecture (shown in Figure 4): the
Knowledge Layer
, the
Data Abstraction Layer
, and the
K4Care agent-based platform
[8, 28]
.
Fig. 4.
K4Care platform architecture
The Knowledge Layer [2] includes all the data sources required to specify the HC
model and its particular adaptation to a concrete organization. It includes an Elec-
tronic Health Record (EHR) which store patient data and clinical histories, the organ-
izational knowledge (
e.g
. actor's skills, permissions and interactions) and medical
knowledge (
e.g
. disorders, treatments, symptoms, causes, etc.) required by an organi-
zation to execute HC processes represented by means of standard ontologies (
Actor
Profile Ontology
-APO- and
Case Profile Ontology
-CPO- respectively) and a
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