Authors:
Cristina De Castro
1
;
Giacomo Leonardi
2
and
Paolo Toppan
2
Affiliations:
1
Ieiit-cnr, Italian National Research Council, Italy
;
2
IEIIT-CNR, Italian National Research Council, Italy
Keyword(s):
Anamnesis, EHRs, network connections, transmission time, data scaling, LDAP.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Databases and Datawarehousing
;
Design and Development Methodologies for Healthcare IT
;
e-Health
;
Health Information Systems
;
Platforms and Applications
Abstract:
In this paper, a model is proposed for the support of anamnesis through Electronic Health Records (EHRs). These data are stored on a hybrid LDAP-SQL system, available on the Internet and accessed from Emergency Mobile Units (EMUs), consulting rooms and hospitals. Each of such scenarios corresponds to different network technologies, i.e. UMTS on EMUs, DSL in consulting rooms, WiFi and wired/fiber within a hospital. Furthermore, EHRs can be queried using heterogeneous devices, such as mobiles, PDAs, laptops and desktops. In consequence, it is important to reach the best trade-off between quality/quantity of data and reception rate. To this purpose, this paper proposes a possible methodology for choosing, scaling and adapting the data format (and consequently dimensions and response time) to actual necessities and technologies at disposal. Analytical calculations are also presented showing the download time in each scenario.