information covering all other recording, including
those ones originated outside the organization (e.g.
letters, emails or notes of meetings).
Since the service models employed by health
care providers and social care providers are different
there are important differences between EHR and
ESR: healthcare records are focused on a single
patient, often with considerable details and depth,
and the confidentiality of the individual is strongly
protected, while social care records, on the other
end, place the individual in their daily living context
of family and other informal carers, including the
attitudes and effects on each, so as to ensure mental
support and understanding (Rigby, 2012).
Since the empowerment of each citizen also
means that he or she should be able to contribute
with documentation, namely observations of his or
her daily living (Bos, 2012), PHR have, nowadays,
an increasing importance. They include data and
information related with the individuals’ lifetime
and individuals’ care maintain by each individual.
Furthermore, PHR can represent more than a
repository for the individual data, because they are
able to combine data, information, knowledge and
tools to help any individual to be proactive in their
own care (Schloeffel, 2003). This stands in contrast
with EHR, which are operated by organizations and
contains data entered by professionals.
The information on a PHR might include patient-
reported outcome data, laboratory results, and data
from a broad range of devices. For instance,
important data sources are wearable remote
monitoring systems with sensors to capture
physiological parameters such as electrocardiogram
(ECG), blood pressure, body temperature or heart
rate. These devices are particularly important for
home care and are one of the research investments of
the promising AAL developments (Queirós et al.,
2012).
4 CONCEPT
The AAL environments can increase or maintain the
individuals’ performance in a broad spectrum of
activities and participation. Furthermore, AAL
systems should acquire context information and
combine multiple sources of information and make
pattern-based predictions to be able to track the
individuals (e.g. localization, activities or
behaviours).
Another range of AAL services are related with
biomedical devices that can be implemented and
used both in clinical settings and in persons’ home,
smoothing the transition between both environments
(Blobel, 2010).
Since information is a requisite for high quality
care services and also for the empowerment of the
citizens’, the potential of AAL services can be
increased, if there is the possibility to create the
conditions to integrate both user-generated data and
AAL services-generated data with institutional EHR
and ESR, so that care can be more integrated,
personalized and useful for citizens. Consequently,
there is the need that AAL infrastructures should
support information architectures that enable the
creation and maintenance of information objects,
according to the requirements and needs of a wide
range of users and care providers.
Due to the difficult to accommodate the
development of new applications in poor structured
contexts (Heeks, 2006), open management
information paradigms (Yli-Hietanen and Niiranen,
2008) are required with robust and stable domain
models separated from the implementations and able
to specific adaptation. In this respect, we argue that
AAL information architectures should follow an
open management information paradigm, with two
modelling levels for the information structure: the
information model and the knowledge model.
The first level, the information model, embraces
all data types that are required to record the pertinent
information. It is the fundamental model required for
the technical implementation and, therefore, must be
stable over time in order to be maintainable. On the
other end, in the second level, the knowledge model,
domain and application specific concepts are
modelled (archetypes) with constraint rules to
specialize the underlying information model.
According to this approach, archetypes are instances
of an object oriented system implementation, which
means they can be created and manipulated by
adequate tools and alter as desired, without changing
the underlying information technical specifications.
The concept was validated by defining a data
repository (i.e. the information model), accordingly
to HL7 RIM and a set of functions for the
management of the archetypes, in order to shape the
HL7 RIM to specific application domains (i.e. the
knowledge model).
For the specification of the data repository we
select the HL7 RIM. Thus, data repository is
characterized by being a generic container and it is
necessary to evaluate whether this container is
adequate to accommodate all information objects
that can be associated with AAL services.
The followed validation procedure consisted in
the creation of scenarios, emphasizing not only the
AALInformationbasedServicesandCareIntegration
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