In recent years, chronic respiratory disease patients do not have regular and frequent communication with their physicians, as they should, for various reasons: lack of time, economic difficulties or negligence; this in turn may induce exacerbation of their chronic condition and possible hospital admission. On the other hand, closer connectivity of humans and systems, through use of the latest technologies of smartphones, clouds and intelligent data mining, can ensure uninterrupted care and chronic ailment crisis avoidance. In this paper is described an integrated solution that: A) Connects chronic respiratory disease patients to their physicians through a cloud infrastructure and online services, and a mobile application, thereby enabling regular monitoring of patients and avoidance of medical emergencies. B) Proposes a new, sustainable and innovative business model that provides at low cost and at significant savings to the national health system, a preventive health service for chronic patients, by combining human medical expertise with state-of-the-art online service delivery based on cloud computing, data analytics and mobile applications. ANAPNEO project is to create a personalized solution for the optimal interaction between the patients with COPD and the medical staff that monitors and supports them. At the end of the day ANAPNEO a) facilitates patient communication with treating physicians through online services and mobile applications, ensuring ongoing patient monitoring and medical emergency avoidance, b) improves the quality of life of chronic patients, combined with a very significant cost reduction and c) proposes a new, sustainable and innovative business model that ensures, at low cost and significant savings for health organizations, preventive health service and personalized approach support for chronic patients, combining human medical experience with modern online services.
Published in | International Journal of Wireless Communications and Mobile Computing (Volume 10, Issue 1) |
DOI | 10.11648/j.wcmc.20221001.11 |
Page(s) | 1-6 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Mhealth, Mobile Applications, Analytics, Chronic Respiratory Diseases
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APA Style
George Koutras, Aggeliki Psycharaki, Themistoklis Koutsouras, Christos Koutras. (2022). Monitoring Chronic Respiratory Disease Patients Efficiently (ANAPNEO Project). International Journal of Wireless Communications and Mobile Computing, 10(1), 1-6. https://doi.org/10.11648/j.wcmc.20221001.11
ACS Style
George Koutras; Aggeliki Psycharaki; Themistoklis Koutsouras; Christos Koutras. Monitoring Chronic Respiratory Disease Patients Efficiently (ANAPNEO Project). Int. J. Wirel. Commun. Mobile Comput. 2022, 10(1), 1-6. doi: 10.11648/j.wcmc.20221001.11
@article{10.11648/j.wcmc.20221001.11, author = {George Koutras and Aggeliki Psycharaki and Themistoklis Koutsouras and Christos Koutras}, title = {Monitoring Chronic Respiratory Disease Patients Efficiently (ANAPNEO Project)}, journal = {International Journal of Wireless Communications and Mobile Computing}, volume = {10}, number = {1}, pages = {1-6}, doi = {10.11648/j.wcmc.20221001.11}, url = {https://doi.org/10.11648/j.wcmc.20221001.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20221001.11}, abstract = {In recent years, chronic respiratory disease patients do not have regular and frequent communication with their physicians, as they should, for various reasons: lack of time, economic difficulties or negligence; this in turn may induce exacerbation of their chronic condition and possible hospital admission. On the other hand, closer connectivity of humans and systems, through use of the latest technologies of smartphones, clouds and intelligent data mining, can ensure uninterrupted care and chronic ailment crisis avoidance. In this paper is described an integrated solution that: A) Connects chronic respiratory disease patients to their physicians through a cloud infrastructure and online services, and a mobile application, thereby enabling regular monitoring of patients and avoidance of medical emergencies. B) Proposes a new, sustainable and innovative business model that provides at low cost and at significant savings to the national health system, a preventive health service for chronic patients, by combining human medical expertise with state-of-the-art online service delivery based on cloud computing, data analytics and mobile applications. ANAPNEO project is to create a personalized solution for the optimal interaction between the patients with COPD and the medical staff that monitors and supports them. At the end of the day ANAPNEO a) facilitates patient communication with treating physicians through online services and mobile applications, ensuring ongoing patient monitoring and medical emergency avoidance, b) improves the quality of life of chronic patients, combined with a very significant cost reduction and c) proposes a new, sustainable and innovative business model that ensures, at low cost and significant savings for health organizations, preventive health service and personalized approach support for chronic patients, combining human medical experience with modern online services.}, year = {2022} }
TY - JOUR T1 - Monitoring Chronic Respiratory Disease Patients Efficiently (ANAPNEO Project) AU - George Koutras AU - Aggeliki Psycharaki AU - Themistoklis Koutsouras AU - Christos Koutras Y1 - 2022/02/09 PY - 2022 N1 - https://doi.org/10.11648/j.wcmc.20221001.11 DO - 10.11648/j.wcmc.20221001.11 T2 - International Journal of Wireless Communications and Mobile Computing JF - International Journal of Wireless Communications and Mobile Computing JO - International Journal of Wireless Communications and Mobile Computing SP - 1 EP - 6 PB - Science Publishing Group SN - 2330-1015 UR - https://doi.org/10.11648/j.wcmc.20221001.11 AB - In recent years, chronic respiratory disease patients do not have regular and frequent communication with their physicians, as they should, for various reasons: lack of time, economic difficulties or negligence; this in turn may induce exacerbation of their chronic condition and possible hospital admission. On the other hand, closer connectivity of humans and systems, through use of the latest technologies of smartphones, clouds and intelligent data mining, can ensure uninterrupted care and chronic ailment crisis avoidance. In this paper is described an integrated solution that: A) Connects chronic respiratory disease patients to their physicians through a cloud infrastructure and online services, and a mobile application, thereby enabling regular monitoring of patients and avoidance of medical emergencies. B) Proposes a new, sustainable and innovative business model that provides at low cost and at significant savings to the national health system, a preventive health service for chronic patients, by combining human medical expertise with state-of-the-art online service delivery based on cloud computing, data analytics and mobile applications. ANAPNEO project is to create a personalized solution for the optimal interaction between the patients with COPD and the medical staff that monitors and supports them. At the end of the day ANAPNEO a) facilitates patient communication with treating physicians through online services and mobile applications, ensuring ongoing patient monitoring and medical emergency avoidance, b) improves the quality of life of chronic patients, combined with a very significant cost reduction and c) proposes a new, sustainable and innovative business model that ensures, at low cost and significant savings for health organizations, preventive health service and personalized approach support for chronic patients, combining human medical experience with modern online services. VL - 10 IS - 1 ER -