Attractive features of digital health care and big data analytics: A critical infrastructure for nation building and shaping the future of innovation

Abstract

Digital health care and smart health care are emerging as transformative paradigms for modernizing traditional healthcare infrastructure, recognized as a critical pillar of nation-building and aligned with the United Nations Sustainable Development Goals (SDG-17). The seamless integration of big data analytics with healthcare systems enables the development of advanced data-driven ecosystems capable of managing massive, complex, heterogeneous, and real-time patient-centric information. A wide spectrum of information and communication enabling technologies—including the Internet of Things, cloud and edge computing, artificial intelligence (AI), machine learning, 5G, smart biosensors, bioinformatics, biomarkers, and mathematical optimization techniques—are converging to deliver personalized and patient-centric healthcare solutions. Furthermore, AI-based drug discovery and multi-omics approaches (genomics, proteomics, metabolomics, and pharmacogenomics) accelerate innovation in precision medicine. The fusion of medical sciences, computer science, and AI technologies is reshaping innovation, healthcare delivery, and public policy, although the absence of unified global standards remains a challenge. This study explores the attractive features of digital health care and big data analytics, highlighting their potential to revolutionize healthcare innovation and policy reform for sustainable nation-building. Although this work highlights the potential of digital and smart health care in reshaping healthcare infrastructures, it remains largely descriptive and conceptual. In this review, an effort is made to assess the attractive features of digital health care and big data analytics and their impact on reshaping innovation in medical sciences and AI technologies for nation-building. Public policy is undergoing a changing phase, with active consideration and massive reforms.

Keywords

Digital health care / Big data analytics / MEDICAL 4.0 / Sustainable Development Goal 3 / E-health / M-health / Bioinformatics / Critical infrastructure

Acknowledgments

The authors would like to express their sincere gratitude to Mrs. Sushma Paul Berlia, Chancellor of Apeejay Stya University, for her visionary leadership and constant encouragement. We also extend our heartfelt thanks to Dr. Neha Berlia, Pro-Chancellor of Apeejay Stya University, for her continued support and guidance throughout this work. We acknowledge the valuable administrative assistance provided by the administration of Apeejay Stya University, which greatly facilitated the smooth execution and preparation of this manuscript.

Funding

None.

Conflict of interest

The authors declare that they have no competing interests.

Author contributions

Conceptualization: Moin Uddin, Sudhakar Ranjan

Visualization: Shatakshi Srivastava, Sarim Moin

Writing-original draft: Moin Uddin

Writing-review & editing: Moin Uddin, Sudhakar Ranjan, Vyas M. Shingateri

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data

Not applicable.

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