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|pdfUrl=https://ceur-ws.org/Vol-729/hamis2011preface.pdf
|volume=Vol-729
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Health Ambiant Information Systems Workshop
First HamIS Workshop
New scientific and technical improvements impact very deeply health information
systems. On one side progress on wireless networks, sensors (for people and their
environment) and mobile devices facilitate ambient information systems, on the other,
improvement in distributed data management, adaptive interfaces, collaborative tools
and methods, semantic models (ontologies) promote better support for personal health
records and medical knowledge and more generally data sharing. All these together
make Health Ambient Information Systems possible and place them as an important and
challenging element for our society. The main reasons are that such systems:
- allow to decrease or restrain health costs by reducing physician acts;
- provide a tool-based collaboration between health professionals;
- make feel citizens secure and more responsible of their own medical
environment.
Both, researchers and industrials work hard to face scientific, economic and strategic
issues concerning patients, elderly or disabled-friendly. Health ambient information
systems is a cross cutting area as it cross, among others, information systems, databases,
sensor networks, ubiquitous computing and health related areas. The main objective of
this workshop is to gather researchers and industrials of such areas together to
elaborate a state-of-the art view on e-health solutions, to foster collaborations among the
participants (industrial and research teams) and to trigger discussions on open topics
and research challenges.
In its first edition HamIS 2011 workshop has seven accepted papers. In the first paper,
Laura Pomponio and co-authors show that prior expert's knowledge about resident
activities can be compared with posterior knowledge induced from timed data. The
proposed approach is described through the database of the prototypical home of the
GerHome project.
Claudia C. Gutiérrez Rodríguez and Michel Riveill explore the principles and issues of
data quality in this particular domain providing primary research clues and motivation
about this subject. The authors underline the need of the analysis of data quality on e-
Health applications, especially concerning remote monitoring and assistance of patients
with chronic diseases.
Diego Fernando Roa and co-authors present a process model to guide the data mining
projects in the health care sector. The process model (PMH) is a specialization of
CRISP-DM methodology and presents different issues associated to the data analysis
and management.
The paper of Fabrício Ferracioli and Maria Angélica de Oliveira Carmargo Brunetto
shows that usability is an important characteristic in any interactive system, but
sometimes is neglected by some software development teams because of the lack of
knowledge of these about usability techniques. The objective of this work is to identify
a set of usability problems in SacarWeb in a way to prioritize the future improvements
in the application through Discount Usability Engineering.
Ana Marilza Pernas, Jonas Bulegon Gassen and José Palazzo M. De Oliveira describe
the development of models and techniques to locate, standardize and extract the content
in web pages associated with health issues. After that, the objective is to provide an
appropriate content to evaluate the quality of a web page according to specific metrics.
The last paper wrote by Fernando Varella, Guilherme Lima, Cirano Iochpe and Valter
Roesler present a comparison study made in order to select a reliable method for ECG
beat classification running in a mobile phone. Three ECG beat classification methods
were selected to be analyzed and implemented in a mobile phone. Tests were made in
regions with limited cell phone network coverage in south Brazil.
This volume collects articles presented at the HamIS and includes topics regarding
information technological support for healthcare including the monitoring of activities
in smart environments, data quality analysis in e-health, process models to guide data
mining in the health care sector, usability in healthcare, models and techniques to locate,
standardize as well as content extraction in web pages associated with health issues and
methods for mobile electrocardiogram. The presented papers contribute for the better
understanding of these topics.
Finally, we would like to express our gratitude to the CITA 2011 organizers, Professor
José Valdeni and José Palazzo, to our invited speakers Professor Valter Roesler and
Cirano Iochpe. Moreover, we are grateful to the authors for submitting their
manuscripts to the HamIS 2011. We also would like to thanks the PNPD and the
SticAmSud Programs of the Coordenação de Aperfeiçoamento de Pessoal de Nível
Superior (CAPES) from the Brazilian Government.
Lucinéia Heloisa Thom
LIG, Grenoble
Informatics Institute, UFRGS, Porto Alegre
Christine Verdier
LIG, Grenoble
Chaudia Roncancio
LIG, Grenoble