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ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India

This concept paper addresses specific challenges identified in the UN 2030 Agenda Sustainable Development Goals (SDG) as well as the National Health Policy of India (NHP-India) and the Ministry of Health Policy of UAE (MHP-UAE). This policy calls for a digital health technology ecosystem. SDG Goal 1...

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Autores principales: Kumar M V, Manoj, Patil, Jagadish, Shastry, K. Aditya, Darshan, Shiva, Sastry, Nanda Kumar Bidare, Moonesar, Immanuel Azaad, Atalla, Shadi, Almuraqab, Nasser, Rao, Ananth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245506/
https://www.ncbi.nlm.nih.gov/pubmed/35783354
http://dx.doi.org/10.3389/frai.2022.909101
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author Kumar M V, Manoj
Patil, Jagadish
Shastry, K. Aditya
Darshan, Shiva
Sastry, Nanda Kumar Bidare
Moonesar, Immanuel Azaad
Atalla, Shadi
Almuraqab, Nasser
Rao, Ananth
author_facet Kumar M V, Manoj
Patil, Jagadish
Shastry, K. Aditya
Darshan, Shiva
Sastry, Nanda Kumar Bidare
Moonesar, Immanuel Azaad
Atalla, Shadi
Almuraqab, Nasser
Rao, Ananth
author_sort Kumar M V, Manoj
collection PubMed
description This concept paper addresses specific challenges identified in the UN 2030 Agenda Sustainable Development Goals (SDG) as well as the National Health Policy of India (NHP-India) and the Ministry of Health Policy of UAE (MHP-UAE). This policy calls for a digital health technology ecosystem. SDG Goal 1 and its related objectives are conceptualized which serves as the foundation for Virtual Consultations, Tele-pharmacy, Virtual Storage, and Virtual Community (VCom). SDG Goals 2 and 3 are conceptualized as Data Management & Analytical (DMA) Architecture. Individual researchers and health care professionals in India and the UAE can use DMA to uncover and harness PHC and POC data into practical insights. In addition, the DMA would provide a set of core tools for cross-network initiatives, allowing researchers and other users to compare their data with DMA data. In rural, urban, and remote populations of the UAE and India, the concept augments the PHC system with ICT-based interventions. The ICT-based interventions may improve patient health outcomes. The open and flexible design allows users to access various digital materials. Extendable data/metadata format, scalable architecture for petabyte-scale federated discovery. The modular DMA is designed using existing technology and resources. Public health functions include population health assessment, policy development, and monitoring policy implementation. PHC and POC periodically conduct syndromic surveillance to identify population risk patterns. In addition, the PHC and POC deploy medical and non-medical preventive measures to prevent disease outbreaks. To assess the impact of social and economic factors on health, epidemiologists must first understand diseases. Improved health due to compliance with holistic disease treatment plans and access to scientific health information.
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spelling pubmed-92455062022-07-01 ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India Kumar M V, Manoj Patil, Jagadish Shastry, K. Aditya Darshan, Shiva Sastry, Nanda Kumar Bidare Moonesar, Immanuel Azaad Atalla, Shadi Almuraqab, Nasser Rao, Ananth Front Artif Intell Artificial Intelligence This concept paper addresses specific challenges identified in the UN 2030 Agenda Sustainable Development Goals (SDG) as well as the National Health Policy of India (NHP-India) and the Ministry of Health Policy of UAE (MHP-UAE). This policy calls for a digital health technology ecosystem. SDG Goal 1 and its related objectives are conceptualized which serves as the foundation for Virtual Consultations, Tele-pharmacy, Virtual Storage, and Virtual Community (VCom). SDG Goals 2 and 3 are conceptualized as Data Management & Analytical (DMA) Architecture. Individual researchers and health care professionals in India and the UAE can use DMA to uncover and harness PHC and POC data into practical insights. In addition, the DMA would provide a set of core tools for cross-network initiatives, allowing researchers and other users to compare their data with DMA data. In rural, urban, and remote populations of the UAE and India, the concept augments the PHC system with ICT-based interventions. The ICT-based interventions may improve patient health outcomes. The open and flexible design allows users to access various digital materials. Extendable data/metadata format, scalable architecture for petabyte-scale federated discovery. The modular DMA is designed using existing technology and resources. Public health functions include population health assessment, policy development, and monitoring policy implementation. PHC and POC periodically conduct syndromic surveillance to identify population risk patterns. In addition, the PHC and POC deploy medical and non-medical preventive measures to prevent disease outbreaks. To assess the impact of social and economic factors on health, epidemiologists must first understand diseases. Improved health due to compliance with holistic disease treatment plans and access to scientific health information. Frontiers Media S.A. 2022-06-16 /pmc/articles/PMC9245506/ /pubmed/35783354 http://dx.doi.org/10.3389/frai.2022.909101 Text en Copyright © 2022 Kumar M V, Patil, Shastry, Darshan, Sastry, Moonesar, Atalla, Almuraqab and Rao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Kumar M V, Manoj
Patil, Jagadish
Shastry, K. Aditya
Darshan, Shiva
Sastry, Nanda Kumar Bidare
Moonesar, Immanuel Azaad
Atalla, Shadi
Almuraqab, Nasser
Rao, Ananth
ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
title ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
title_full ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
title_fullStr ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
title_full_unstemmed ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
title_short ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
title_sort ict enabled disease diagnosis, treatment and management—a holistic cost-effective approach through data management and analysis in uae and india
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245506/
https://www.ncbi.nlm.nih.gov/pubmed/35783354
http://dx.doi.org/10.3389/frai.2022.909101
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