Authors:
Juliano de Souza Gaspar
1
;
João Rolando Azevedo
1
;
Jorge Leal
1
;
Fabio Hedayioglu
1
and
Ricardo Cruz-Correia
2
Affiliations:
1
University of Porto, Portugal
;
2
Faculty of Medicine, University of Porto, Portugal
Keyword(s):
Geographic Information Systems, Blood Donors, Database Management Systems.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Design and Development Methodologies for Healthcare IT
;
Enterprise Information Systems
;
Health Information Systems
;
Healthcare Management Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Support for Clinical Decision-Making
Abstract:
Blood donations are a significant part of good medicine nowadays. Needs in this area include geographic allocation off donors and its characteristics. Towards new applications in informatics systems and the implementation of ground theories in information systems (such as work and information flows), the changes in this area are promising. One kind of applications that enhances greatly this area are geographic information systems (GIS). They permit the allocation of raw data or processed information in a map, allowing contextualization of the information itself and the extrapolation of knowledge. Our goals focused on researching the state of the art off current status, data manipulation and processing relative of the donor’s database, modeling and developing a program that could show a varied option of queries that can be done to the database. We used some statistic approach to the data as well as software implementation. After its completion, it was possible to calculate the distrib
ution of blood donors and cross reference this with the places of collect. The distribution of the donors by group or area was made visible for interpretation purposes. Ultimately, the feasibility of such systems is proved and the changes in blood donation management can represent an important improvement towards good care.
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