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 Mannai, Zayneb
%A Kalboussi, Anis
%A Kacem, Ahmed Hadj
%D 2021
%J Health Informatics - An International Journal (HIIJ)
%K annotation classification e-health health healthcare professional record system
%N 04
%P 1-10
%R 10.5121/hiij.2021.10401
%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 = {2021-12-09T13:52:56.000+0100},
author = {Mannai, Zayneb and Kalboussi, Anis and Kacem, Ahmed Hadj},
biburl = {https://www.bibsonomy.org/bibtex/2b2ff0575bb12c5b678494b401fa82e25/laimbee},
doi = {10.5121/hiij.2021.10401},
interhash = {9d11f792777398a591b08477f6bb3222},
intrahash = {b2ff0575bb12c5b678494b401fa82e25},
issn = {ISSN : 2319 - 2046 (Online); 2319 - 3190 (Print).},
journal = {Health Informatics - An International Journal (HIIJ)},
keywords = {annotation classification e-health health healthcare professional record system},
language = {english},
month = {November},
number = 04,
pages = {1-10},
timestamp = {2021-12-09T13:52:56.000+0100},
title = {Towards a Standard of Modelling Annotations in the E-Health Domain},
url = {https://aircconline.com/hiij/V10N4/10421hiij01.pdf},
volume = 10,
year = 2021
}