Journal of Integrated Health Innovation
type: channel
description: Journal of Integrated Health Innovation (online ISSN: 3105-6121) is an open-access, peer-reviewed international journal dedicated to the advancement of multidisciplinary research in the health industry. It aims to bridge the gap between medicine, pharmacy, biomedical engineering, artificial intelligence, and health-related technologies, focusing on innovation that promotes the development of the global health economy.
language: en-US
publication name: Journal of Integrated Health Innovation
issn: 3105-6121
items: Enabling Smart Healthcare Systems through IoT, AI, and Cloud Integration
items: Transforming Healthcare: The Integration of Artificial Intelligence and Big Data
items: Advancing Preventive Medicine and Public Health: Innovations, Challenges, and Future Directions
items: Health Informatics and Digital Health: Transforming Healthcare through Technology
items: Industrial Innovation in the Health Economy: A Technological Transformation

Enabling Smart Healthcare Systems through IoT, AI, and Cloud Integration
type: item
description: This paper presents an overview of smart healthcare systems by examining the integration of key technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Cloud Computing. It explores how these technologies collectively enhance patient monitoring, diagnostic accuracy, and healthcare service delivery, while addressing major challenges and future opportunities in the field.
creator: Yuanbo Yang
rights: Copyright (c) 2025 by the authors and Hivereads Press. https://creativecommons.org/licenses/by/4.0/
license: https://creativecommons.org/licenses/by/4.0/
date: 2025-06-18
publication date: 2025-06-18
starting page: 1
ending page: 1

Transforming Healthcare: The Integration of Artificial Intelligence and Big Data
type: item
description: The integration of Artificial Intelligence (AI) and Big Data technologies is reshaping the landscape of modern healthcare. These technologies enable unprecedented capabilities in disease diagnosis, treatment planning, drug discovery, and health system optimization. AI algorithms, powered by machine learning and deep learning, are increasingly used to analyze complex medical data, uncover hidden patterns, and support clinical decisions with high precision. Meanwhile, big data platforms process massive, heterogeneous health data from electronic health records (EHRs), genomic sequencing, wearable devices, and public health databases to generate actionable insights. This paper explores the foundational technologies, key applications, and significant impacts of AI and big data in healthcare. It also addresses ethical, legal, and technical challenges, including data privacy, algorithmic bias, and regulatory compliance. Finally, the paper highlights future directions such as explainable AI, federated learning, and multi-modal data integration, emphasizing the need for interdisciplinary collaboration to realize the full potential of these technologies in advancing global health outcomes.
creator: Ning Zhang
rights: Copyright (c) 2025 by the authors and Hivereads Press. https://creativecommons.org/licenses/by/4.0/
license: https://creativecommons.org/licenses/by/4.0/
date: 2025-06-18
publication date: 2025-06-18
starting page: 2
ending page: 2

Advancing Preventive Medicine and Public Health: Innovations, Challenges, and Future Directions
type: item
description: Preventive medicine and public health play a pivotal role in reducing the global burden of disease, improving life expectancy, and lowering healthcare costs. This paper explores the intersection of modern technology, evidence-based policies, and behavioral interventions in advancing preventive healthcare. Key focus areas include the application of artificial intelligence (AI) and big data in predictive analytics, the impact of genomics on personalized prevention, and the role of digital health tools such as wearables and telemedicine. Additionally, the paper examines public health strategies, including vaccination programs, lifestyle interventions, and environmental health policies, while addressing challenges such as economic barriers, health disparities, and ethical concerns. Finally, future directions are discussed, emphasizing AI-driven public health surveillance, precision medicine advancements, and global collaborative efforts. By integrating technological innovation with robust public health frameworks, preventive medicine can transform healthcare delivery and promote long-term population health.
creator: Jun Gao
rights: Copyright (c) 2025 by the authors and Hivereads Press. https://creativecommons.org/licenses/by/4.0/
license: https://creativecommons.org/licenses/by/4.0/
date: 2025-06-18
publication date: 2025-06-18
starting page: 3
ending page: 3

Health Informatics and Digital Health: Transforming Healthcare through Technology
type: item
description: The rapid evolution of health informatics and digital health is revolutionizing healthcare delivery, enhancing patient outcomes, and optimizing clinical workflows. This paper explores the transformative role of technology in modern healthcare, focusing on key innovations such as Electronic Health Records (EHRs), Artificial Intelligence (AI), telemedicine, wearable devices, and blockchain. These advancements facilitate data-driven decision-making, remote patient monitoring, and personalized medicine, significantly improving efficiency and accessibility. However, challenges such as data privacy, interoperability, ethical concerns, and resistance to adoption persist, requiring robust regulatory frameworks and stakeholder collaboration. The study also examines future trends, including AI-driven drug discovery, smart hospitals, and digital twins, which promise to further reshape healthcare. By analyzing current applications, barriers, and emerging opportunities, this paper highlights the critical need for integrated, secure, and patient-centric digital health ecosystems. The findings underscore the potential of technology to bridge gaps in global healthcare while emphasizing the importance of equitable access and ethical AI deployment.
creator: Huali Wang
rights: Copyright (c) 2025 by the authors and Hivereads Press. https://creativecommons.org/licenses/by/4.0/
license: https://creativecommons.org/licenses/by/4.0/
date: 2025-06-18
publication date: 2025-06-18
starting page: 4
ending page: 4

Industrial Innovation in the Health Economy: A Technological Transformation
type: item
description: The health economy is undergoing a paradigm shift driven by industrial innovation, integrating advanced technologies such as artificial intelligence (AI), digital health platforms, and precision medicine to enhance healthcare delivery, reduce costs, and improve patient outcomes. This paper explores the intersection of industrial innovation and the health economy, focusing on key technological advancements, economic impacts, and policy considerations. We analyze case studies from biopharmaceuticals, medical devices, and digital health ecosystems, highlighting how cross-sector collaborations and regulatory frameworks shape innovation. The study also examines challenges such as data privacy, interoperability, and equitable access, while forecasting future trends in AI-driven drug discovery, decentralized healthcare models, and sustainable medical manufacturing. By synthesizing global best practices, this paper provides actionable insights for policymakers, industry leaders, and researchers to foster a resilient and innovation-driven health economy.
creator: Tianye Xia
rights: Copyright (c) 2025 by the authors and Hivereads Press. https://creativecommons.org/licenses/by/4.0/
license: https://creativecommons.org/licenses/by/4.0/
date: 2025-06-18
publication date: 2025-06-18
starting page: 5
ending page: 5