Telemedicine for Chronic Disease Management: Evaluating Efficacy in Diverse Patient Populations

Telemedicine has revolutionized chronic disease management by improving accessibility, reducing healthcare costs, and enhancing patient outcomes. The integration of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and real-time remote patient monitoring has enabled significant advancements in telehealth interventions. This paper explores the efficacy of telemedicine in managing diabetes, cardiovascular diseases, respiratory disorders, hypertension, and mental health conditions while evaluating its impact on diverse populations. A comparative analysis between telemedicine and traditional healthcare models highlights its cost-effectiveness and clinical efficiency. Challenges such as regulatory barriers, data security risks, and disparities in digital literacy are discussed. Future directions include AI-driven predictive analytics, blockchain for secure data management, and policy frameworks to standardize telehealth implementation

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-28
DOI
https://doi.org/10.5281/zenodo.15337889
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
0.00
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article

Telemedicine for Chronic Disease Management: Evaluating Efficacy in Diverse Patient Populations

Zenodo (CERN European Organization for Nuclear Research)
Telemedicine and Telehealth Implementation
article

Telemedicine for Chronic Disease Management: Evaluating Efficacy in Diverse Patient Populations

article en

Abstract

Telemedicine has revolutionized chronic disease management by improving accessibility, reducing healthcare costs, and enhancing patient outcomes. The integration of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and real-time remote patient monitoring has enabled significant advancements in telehealth interventions. This paper explores the efficacy of telemedicine in managing diabetes, cardiovascular diseases, respiratory disorders, hypertension, and mental health conditions while evaluating its impact on diverse populations. A comparative analysis between telemedicine and traditional healthcare models highlights its cost-effectiveness and clinical efficiency. Challenges such as regulatory barriers, data security risks, and disparities in digital literacy are discussed. Future directions include AI-driven predictive analytics, blockchain for secure data management, and policy frameworks to standardize telehealth implementation

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Quality Education
Openalex Percentile: Top 45%
Telemedicine and Telehealth Implementation
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Telemedicine for Chronic Disease Management: Evaluating Efficacy in Diverse Patient Populations · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS