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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.
Kumar M V, Manoj; Patil, Jagadish; Shastry, K Aditya; Darshan, Shiva; Sastry, Nanda Kumar Bidare; Moonesar, Immanuel Azaad; Atalla, Shadi; Almuraqab, Nasser; Rao, Ananth.
  • Kumar M V M; Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Patil J; Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Shastry KA; Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Darshan S; Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Sastry NKB; Ramaiah Medical College and Hospitals, Bangalore, India.
  • Moonesar IA; Mohammed Bin Rashid School of Government, Dubai, United Arab Emirates.
  • Atalla S; College of Engineering and Information Technology, University of Dubai, Dubai, United Arab Emirates.
  • Almuraqab N; Dubai Business School, University of Dubai, Dubai, United Arab Emirates.
  • Rao A; Dubai Business School, University of Dubai, Dubai, United Arab Emirates.
Front Artif Intell ; 5: 909101, 2022.
Article in English | MEDLINE | ID: covidwho-2224962
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Front Artif Intell Year: 2022 Document Type: Article Affiliation country: Frai.2022.909101

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Front Artif Intell Year: 2022 Document Type: Article Affiliation country: Frai.2022.909101