A large number of annotation systems in e-health domain have been implemented in the literature. Several
factors distinguish these systems from one another. In fact, each of these systems is based on a separate
paradigm, resulting in a disorganized and unstructured vision. As part of our research, we attempted to
categorize them based on the functionalities provided by each system, and we also proposed a model of
annotations that integrates both the health professional and the patient in the process of annotating the
medical file
%0 Journal Article
%1 noauthororeditor
%A Mannai1, Zayneb
%A Kalboussi2, Anis
%A Kacem3, Ahmed Hadj
%D 2021
%J Health Informatics: An International Journal (HIIJ)
%K annotation classification e-health health healthcare professional record system
%N 4
%P 1 - 10
%T TOWARDS A STANDARD OF MODELLING
ANNOTATIONS IN THE E-HEALTH DOMAIN
%U https://aircconline.com/hiij/V10N4/10421hiij01.pdf
%V 10
%X A large number of annotation systems in e-health domain have been implemented in the literature. Several
factors distinguish these systems from one another. In fact, each of these systems is based on a separate
paradigm, resulting in a disorganized and unstructured vision. As part of our research, we attempted to
categorize them based on the functionalities provided by each system, and we also proposed a model of
annotations that integrates both the health professional and the patient in the process of annotating the
medical file
@article{noauthororeditor,
abstract = {A large number of annotation systems in e-health domain have been implemented in the literature. Several
factors distinguish these systems from one another. In fact, each of these systems is based on a separate
paradigm, resulting in a disorganized and unstructured vision. As part of our research, we attempted to
categorize them based on the functionalities provided by each system, and we also proposed a model of
annotations that integrates both the health professional and the patient in the process of annotating the
medical file},
added-at = {2022-08-11T03:42:32.000+0200},
author = {Mannai1, Zayneb and Kalboussi2, Anis and Kacem3, Ahmed Hadj},
biburl = {https://www.bibsonomy.org/bibtex/2f043a8179450774b08bc9fb8e4d34b5b/jeffrenna},
interhash = {652bee72ecf5e761a293836cc6953363},
intrahash = {f043a8179450774b08bc9fb8e4d34b5b},
journal = { Health Informatics: An International Journal (HIIJ)},
keywords = {annotation classification e-health health healthcare professional record system},
language = {english},
month = {November},
number = 4,
pages = {1 - 10},
timestamp = {2022-08-11T03:42:32.000+0200},
title = {TOWARDS A STANDARD OF MODELLING
ANNOTATIONS IN THE E-HEALTH DOMAIN},
url = {https://aircconline.com/hiij/V10N4/10421hiij01.pdf},
volume = 10,
year = 2021
}