[Asis-l] Extended deadline - DQHC 2013 - CBMS Data and Information Quality Track

Alberto Freitas alberto at med.up.pt
Fri Feb 1 04:41:22 EST 2013

** The submission deadline was extended to February 21st **
(We apologize for multiples copies; please distribute)

DQHC 2013 - Data and Information Quality in Healthcare Management

in conjuntion with the

CBMS 2013 - International Symposium on Computer-Based Medical System
Porto, Portugal - June 20th-22nd, 2013 


This special track aims to bring together researchers and practitioners, who
are dealing with data and information quality issues in healthcare
management, providing the opportunity to promote, present, stimulate and
facilitate the discussion of ongoing work in this area (theories, practices,
strategies, modeling, tools, latest results). This special track can also
provide a forum to present latest research results, new technology
developments, new strategies, and new applications in this area of
information quality (IQ) in healthcare.


All papers accepted to this track will be considered for invitation to
extend their work for a Special Issue in the International Journal of
Information Quality.


Paper submission: 21 Feb 2013 ** EXTENDED **
Notification: 10th March 2013
Camera-ready paper: 10th April 2013
Registration: 10 Apr 2012
CBMS symposium: 20th - 22nd June 2013


Papers should be submitted electronically using EasyChair online submission
system, at

Prospective authors for this track should choose the "Data and Information
Quality in Healthcare Management" special track, when submitting a paper.

Please refer to the general webpage of CBMS 2013 for submission guidelines
at http://cbms2013.med.up.pt/.

Selected papers will be peer-reviewed by at least three reviewers for
eligibility and quality. Special track papers should report on significant
unpublished work, and are required to meet the same standards of the general

Accepted papers will appear in the conference proceedings, edited and
published by IEEE Press. At least one co-author of an accepted track paper
should be present at CBMS 2013.


It is well known that almost all databases suffer from quality problems
(e.g.: missing values; existence of synonyms; uniqueness violations;
duplicate records) and medical databases are no exception. Managing
information with an adequate level of quality is vital to effective
healthcare management processes, since the financial survival of healthcare
organizations largely depends on the successfully running of such processes.
Data regarding effectiveness of treatments, accuracy of diagnosis and
practices of health care providers is crucial for organizations to do their
best when they try to maintain and improve health care delivery. Over the
past years, the number of medical registries has greatly increased and their
value strongly depends on the quality of data contained in the registry.
With the development of Information and Communication Technologies, medical
databases are expected to be more reliable. Issues regarding information
quality are now even more relevant as the utilization of these databases
increase in magnitude and importance. Obtaining, maintaining and
transforming data with the most suitable levels of quality is not an easy
This special track aims to bring together researchers and practitioners, who
are dealing with data and information quality issues in healthcare
management, providing the opportunity to promote, present, stimulate and
facilitate the discussion of ongoing work in this area.


- Healthcare data profiling and cleansing
- IQ assessment in healthcare
- Common IQ problems found during the use and management of electronic
health records
- IQ in mining healthcare data
- Prevention of IQ problems in medical databases 
- Detection of outliers in medical databases
- Standards and policies for ensuring IQ in healthcare
- IQ methodologies, metrics/measures and tools in healthcare 
- IQ education for healthcare
- Metadata quality problems
- IQ cost/benefit analysis in healthcare
- IQ applications and case studies in healthcare
- Coding and auditing medical data
- IQ and accountability in healthcare
- Implications of IQ problems in healthcare 
- IQ in software development for health information systems
- The role of IQ in the quality of healthcare services.


Alberto Freitas, Faculty of Medicine, University of Porto, Portugal
alberto at med.up.pt

Ismael Caballero, University of Castilla-La Mancha, Spain
Ismael.Caballero at uclm.es

Paulo Oliveira, School of Engineering, Polytechnic of Porto, Portugal
pjorge at dei.isep.ipp.pt

Cesar Guerra, Universidad Politécnica de San Luis Potosí, Mexico
cguerra74 at gmail.com


Alfonso Rodriguez, Universidad del Bio-Bio, Chile
Ana Lucas, Instituto Superior de Economia e Gestão, Portugal
Angélica Caro, Universidad del Bio-Bio, Chile
António Abelha, Universidade do Minho, Portugal
Bruce Davidson, UCLA School of Public Health, USA
Cinzia Cappiello, Politecnico di Milano, Italy
Fátima Rodrigues, Instituto Superior de Engenharia do Porto, Portugal
Helena Galhardas, Instituto Superior Técnico, Portugal
Jens Lüssem, KielUniversity of Applied Sciences, Germany
Jing Gao, University of South Australia, Australia
John Talburt, University of Arkansas at Little Rock, USA
José Farinha, Instituto Superior de Ciências do Trabalho e da Empresa,
José Machado, Universidade do Minho, Portugal
Laure Berti, IRD, France
Lorena Etcheverry, Instituto de Computación, Universidad de la República,
Luis Lima, Escola Superior de Tecnologia e Gestão de Felgueiras, Portugal
Marian Moraga, Universidad de Castilla-La Mancha, Spain
Maribel Yasmina Santos, Universidade do Minho, Portugal
Marie-Astrid Cartron-Mizeracki, University of Arkansas at Little Rock, USA
Markus Gebauer, German Association for Data and Information Quality, Germany
Markus Helfert, Dublin City University, Ireland
Monica Scannapieco, Università di Roma, Italy
Paulo Novais, Universidade do Minho, Portugal
Pedro Pereira Rodrigues, Universidade do Porto, Portugal
Ricardo Correia, Universidade do Porto, Portugal
Robert Manzke, KielUniversity of Applied Sciences, Germany
Sami Laine, Aalto University, Finland
Zoran Bosnic, University Ljubljana, Slovenia

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