American Journal of Advanced Multidisciplinary Research and Innovation

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Digital Health Technologies for Improving Global Public Health Outcomes

Author(s) Robert S. Kaplan
Country United States
Abstract The rapid advancement of Digital Health Technologies (DHTs) is transforming healthcare delivery and public health systems worldwide by enabling accessible, data-driven, preventive, and patient-centred care. The convergence of Artificial Intelligence (AI), Machine Learning (ML), Internet of Medical Things (IoMT), Telemedicine, Electronic Health Records (EHRs), Wearable Medical Devices, Big Data Analytics, Cloud Computing, Edge Computing, Blockchain, Digital Twin Technology, and Mobile Health (mHealth) applications has significantly improved disease surveillance, remote patient monitoring, early diagnosis, healthcare accessibility, and evidence-based decision-making. These technologies enhance healthcare efficiency, strengthen public health preparedness, reduce healthcare disparities, and support the achievement of the United Nations Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being).
This study presents a comprehensive analysis of Digital Health Technologies for Improving Global Public Health Outcomes. A qualitative analytical research methodology based on secondary data is employed to investigate AI-assisted clinical decision support, telemedicine, wearable health monitoring, digital epidemiology, intelligent health information systems, and data-driven public health management. The research evaluates how emerging digital technologies improve healthcare accessibility, disease prevention, healthcare quality, operational efficiency, emergency preparedness, and health equity across diverse populations.
The findings indicate that digital health technologies significantly enhance healthcare delivery through intelligent diagnostics, predictive analytics, personalised medicine, remote monitoring, vaccination management, epidemic surveillance, and efficient healthcare resource allocation. AI-powered analytics improve clinical accuracy, while IoMT devices and wearable technologies enable continuous patient monitoring. Blockchain enhances data integrity and secure health information exchange, whereas cloud and edge computing facilitate scalable and real-time health data processing.
Despite these opportunities, challenges remain concerning cybersecurity, patient privacy, digital literacy, interoperability, regulatory compliance, infrastructure limitations, algorithmic bias, and equitable technology adoption. Future research should investigate explainable AI for healthcare, federated health learning, digital therapeutics, quantum-assisted medical analytics, and AI-driven digital health twins for personalised medicine.
The study concludes that Digital Health Technologies provide a multidisciplinary foundation for developing intelligent, secure, resilient, and sustainable public health systems capable of improving healthcare quality, accessibility, and global health outcomes.
Keywords Digital Health, Public Health, Artificial Intelligence, Telemedicine, Internet of Medical Things, Mobile Health, Electronic Health Records, Healthcare Analytics, Wearable Devices, Digital Transformation.
Field Engineering
Published In Volume 2, Issue 2, March-April 2020
Published On 2020-03-02
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AJAMRI is 10.00000/AJAMRI

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AJAMRI
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@ajamri.com