Information Technology Reference
In-Depth Information
The aim of the QoLis platform, currently being tested in an Oncological Institution,
is to offer to healthcare professionals a system of knowledge management. This
application will integrate clinical information, information on health status and
information on the quality of life of the patient. This platform already experimentally
implemented allows the fulfillment of several objectives: provide healthcare
professionals a set of tools to measure systematically (at least in every appointment)
each patient quality of life without influencing the normal functioning of the health
unit; convert tacit knowledge (perception of the patient on their quality of life) into
explicit knowledge, producing reports with indications on the health problems of the
patient; integrate quality of life information, generated from the platform with
existing clinical information (if the unit does not have electronic clinical record this
can be done on the platform). In order to have all the elements available in the
application the data mining algorithms and statistical models should allow
performing: evaluation of quality of life; evaluation of health gains; evaluation of
Functional Health Status; impact assessment of the consequences of the disease;
categorization of patients through data mining process; comparison of the patients
between categories and within each category analyzing deviant values; determination
of the relevant variation in health status, survival factors and quality of life of patients
and prediction of the health, survival and quality of life in terms of certain factors.
Basically the project focuses on the possibility of offering to the market a set of
application modules distributed over different integrated systems allowing a more
rigorous and supporting platform to determine the quality of life of an individual. The
objectives are to better understand users, their patterns of behavior, motivations and
reactions to therapies prescribed by doctors. Another objective is the identification or
development of mathematical models to explain and characterize the impact of
environment variables for the quality of life.
3.1
Architecture of the Platform
The segment of Public Health also aims to increasingly provide quality and efficient
services to the population and, therefore, need to follow the technological trends of
extracting knowledge generated by transactional information systems or commonly
called On- Line Transaction Processing (OLTP). These systems typically have
databases on different technologies, platforms, and completely fragmented. So there is
a consolidation of these data so that a human being can have information for making a
decision. This transformation is to provide useful and reliable information, in an easy
and quick access, forming the knowledge and support the process of decision making
for offering higher quality services, thus acquiring greater satisfaction and confidence
of users of the Health System.
Fig. 1 shows the architecture of the platform takes these principals into account and
involves several modules responsible for Quality of Life evaluation. This involves the
creation of application modules to perform data processing for a set of tools and
techniques through the use of data mining learning algorithms and statistics which are
able to explore, extract and help highlight patterns in these data with the resulting
knowledge discovery. The application design was intended to be light and efficient in
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