Context-Aware Healthcare Adaptation Model
for COPD Diseases
Hamid Mcheick
1(&)
, John Sayegh
2 , and Hicham Ajami
1
1 Department of Computer Sciences and Mathematics,
University of Québec at Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
{Hamid_mcheick,Hicham.ajami1}@uqac.ca
2 Lebanese University, Hadath-I, Beirut, Lebanon
johnsayegh1994@gmail.com
Abstract. Nowadays, ubiquitous computing and mobile applications are controlling all our life’s aspects, from social media and entertainment to the very
basic needs like commerce, learning, government, and health. These systems
have the ability to self-adapt to meet changes in their execution environment and
the user’s context. In the healthcare domain, information systems have proven
their efficiency, not only by organizing and managing patients’ data and information but also by helping doctors and medical experts in diagnosing disease and
taking precluding procedure to avoid serious conditions. In chronic diseases,
telemonitoring systems provide a way to monitor the patient’s state and
biomarkers within their usual life’s routine. In this article, we are combining the
healthcare telemonitoring systems with the context awareness and self-adaptation
paradigm to provide a self-adaptive framework architecture for COPD patients.
Keywords: Software architecture Á Self-adaptation Á Context-aware system Á
COPD Á Healthcare systems
1 Introduction
Chronic obstructive pulmonary diseases (COPD) have attracted research interest as a
major public health problem, because according to the World Health Organization
(WHO) [1], COPD is currently considered the fourth, and will soon become the third,
most frequent cause of death worldwide. It is also a disabling disease and therefore
associated with high costs for treating and managing patients. As the disease progresses,
patients become more susceptible to respiratory exacerbations which cause frequent
hospital admissions and, thus, have a huge impact on patients’ quality of life and
healthcare costs [2, 3]. Monitoring patient’s health conditions from home and transmitting these data to a healthcare center could be a great solution that facilitates the management of the growing number of patients with COPD and reduce the burden on health
services. This approach is called Home Tele-monitoring, which can be used for a timely
assessment of acute exacerbation or as a mechanism to generate alarms to the patients
and/or healthcare professionals when clinical changes that may constitute a risk to the
patient occur [4]. There are many systematic reviews and studies on the topic of telemonitoring in respiratory patients, specifically in patients with COPD [5–8]. All these
© The Author(s) 2020
M. Jmaiel et al. (Eds.): ICOST 2020, LNCS 12157, pp. 307–315, 2020.
https://doi.org/10.1007/978-3-030-51517-1_27
for COPD Diseases
Hamid Mcheick
1(&)
, John Sayegh
2 , and Hicham Ajami
1
1 Department of Computer Sciences and Mathematics,
University of Québec at Chicoutimi, Chicoutimi, QC G7H 2B1, Canada
{Hamid_mcheick,Hicham.ajami1}@uqac.ca
2 Lebanese University, Hadath-I, Beirut, Lebanon
johnsayegh1994@gmail.com
Abstract. Nowadays, ubiquitous computing and mobile applications are controlling all our life’s aspects, from social media and entertainment to the very
basic needs like commerce, learning, government, and health. These systems
have the ability to self-adapt to meet changes in their execution environment and
the user’s context. In the healthcare domain, information systems have proven
their efficiency, not only by organizing and managing patients’ data and information but also by helping doctors and medical experts in diagnosing disease and
taking precluding procedure to avoid serious conditions. In chronic diseases,
telemonitoring systems provide a way to monitor the patient’s state and
biomarkers within their usual life’s routine. In this article, we are combining the
healthcare telemonitoring systems with the context awareness and self-adaptation
paradigm to provide a self-adaptive framework architecture for COPD patients.
Keywords: Software architecture Á Self-adaptation Á Context-aware system Á
COPD Á Healthcare systems
1 Introduction
Chronic obstructive pulmonary diseases (COPD) have attracted research interest as a
major public health problem, because according to the World Health Organization
(WHO) [1], COPD is currently considered the fourth, and will soon become the third,
most frequent cause of death worldwide. It is also a disabling disease and therefore
associated with high costs for treating and managing patients. As the disease progresses,
patients become more susceptible to respiratory exacerbations which cause frequent
hospital admissions and, thus, have a huge impact on patients’ quality of life and
healthcare costs [2, 3]. Monitoring patient’s health conditions from home and transmitting these data to a healthcare center could be a great solution that facilitates the management of the growing number of patients with COPD and reduce the burden on health
services. This approach is called Home Tele-monitoring, which can be used for a timely
assessment of acute exacerbation or as a mechanism to generate alarms to the patients
and/or healthcare professionals when clinical changes that may constitute a risk to the
patient occur [4]. There are many systematic reviews and studies on the topic of telemonitoring in respiratory patients, specifically in patients with COPD [5–8]. All these
© The Author(s) 2020
M. Jmaiel et al. (Eds.): ICOST 2020, LNCS 12157, pp. 307–315, 2020.
https://doi.org/10.1007/978-3-030-51517-1_27