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mHealth and big-data integration: promises for healthcare system in India

BACKGROUND: The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into...

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Autores principales: Madanian, Samaneh, Parry, Dave T, Airehrour, David, Cherrington, Marianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062344/
https://www.ncbi.nlm.nih.gov/pubmed/31488497
http://dx.doi.org/10.1136/bmjhci-2019-100071
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author Madanian, Samaneh
Parry, Dave T
Airehrour, David
Cherrington, Marianne
author_facet Madanian, Samaneh
Parry, Dave T
Airehrour, David
Cherrington, Marianne
author_sort Madanian, Samaneh
collection PubMed
description BACKGROUND: The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to high-quality access care. Mobile technologies, Internet of Things and 5G connectivity may hold the key to supporting increased velocity, variety and volume of healthcare data. OBJECTIVE: The purpose of this study is to identify and analyse challenges related to the current status of India’s healthcare system—with a specific focus on mHealth and big-data analytics technologies. To address these challenges, a framework is proposed for integrating the generated mHealth big-data and applying the results in India's healthcare. METHOD: A critical review was conducted using electronic sources between December 2018 and February 2019, limited to English language articles and reports published from 2010 onwards. MAIN OUTCOME: This paper describes trending relationships in mHealth with big-data as well as the accessibility of national opportunities when specific barriers and constraints are overcome. The paper concentrates on the healthcare delivery problems faced by rural and low-income communities in India to illustrate more general aspects and identify key issues. A model is proposed that utilises generated data from mHealth devices for big-data analysis that could result in providing insights into the India population health status. The insights could be important for public health planning by the government towards reaching the Universal Health Coverage. CONCLUSION: Biomedical, behavioural and lifestyle data from individuals may enable customised and improved healthcare services to be delivered. The analysis of data from mHealth devices can reveal new knowledge to effectively and efficiently support national healthcare demands in less developed nations, without fully accessible healthcare systems.
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spelling pubmed-70623442020-09-30 mHealth and big-data integration: promises for healthcare system in India Madanian, Samaneh Parry, Dave T Airehrour, David Cherrington, Marianne BMJ Health Care Inform Review BACKGROUND: The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to high-quality access care. Mobile technologies, Internet of Things and 5G connectivity may hold the key to supporting increased velocity, variety and volume of healthcare data. OBJECTIVE: The purpose of this study is to identify and analyse challenges related to the current status of India’s healthcare system—with a specific focus on mHealth and big-data analytics technologies. To address these challenges, a framework is proposed for integrating the generated mHealth big-data and applying the results in India's healthcare. METHOD: A critical review was conducted using electronic sources between December 2018 and February 2019, limited to English language articles and reports published from 2010 onwards. MAIN OUTCOME: This paper describes trending relationships in mHealth with big-data as well as the accessibility of national opportunities when specific barriers and constraints are overcome. The paper concentrates on the healthcare delivery problems faced by rural and low-income communities in India to illustrate more general aspects and identify key issues. A model is proposed that utilises generated data from mHealth devices for big-data analysis that could result in providing insights into the India population health status. The insights could be important for public health planning by the government towards reaching the Universal Health Coverage. CONCLUSION: Biomedical, behavioural and lifestyle data from individuals may enable customised and improved healthcare services to be delivered. The analysis of data from mHealth devices can reveal new knowledge to effectively and efficiently support national healthcare demands in less developed nations, without fully accessible healthcare systems. BMJ Publishing Group 2019-09-04 /pmc/articles/PMC7062344/ /pubmed/31488497 http://dx.doi.org/10.1136/bmjhci-2019-100071 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Review
Madanian, Samaneh
Parry, Dave T
Airehrour, David
Cherrington, Marianne
mHealth and big-data integration: promises for healthcare system in India
title mHealth and big-data integration: promises for healthcare system in India
title_full mHealth and big-data integration: promises for healthcare system in India
title_fullStr mHealth and big-data integration: promises for healthcare system in India
title_full_unstemmed mHealth and big-data integration: promises for healthcare system in India
title_short mHealth and big-data integration: promises for healthcare system in India
title_sort mhealth and big-data integration: promises for healthcare system in india
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062344/
https://www.ncbi.nlm.nih.gov/pubmed/31488497
http://dx.doi.org/10.1136/bmjhci-2019-100071
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