The Future of Health Technology Depends on Responsible Scale, Not Just Rapid Innovation

This blog is based on the chapter: Saatchi, A. G. (2026). The Role of Technology in Tackling

Global Health Challenges. In Addressing Global Health Challenges Through Financial Innovation and Health Technologies. IGI Global Scientific Publishing. Full chapter available here: Read the full chapter.

The future of health technology will not be defined simply by the number of new tools we create. It will be defined by whether those tools can be implemented safely, used confidently, governed ethically, financed sustainably, and scaled equitably. Innovation matters, but implementation is where the real test begins.

The chapter discusses a wide range of technologies with potential to reshape global health: digital health records, wearable biosensors, blockchain, predictive analytics, drone-based delivery, 3D printing, digital twins, virtual reality, mobile health, telemedicine and artificial intelligence. Together, these examples show how broad the digital health landscape has become.

Some of the case studies are striking. Drones can support delivery of medical supplies to remote or hard-to-reach areas. Wearable devices can support ongoing monitoring and earlier intervention. Digital twins can help simulate treatment pathways and personalise care. Virtual reality can support mental health treatment, rehabilitation, and clinical training. Digital records can improve continuity, reduce duplication, and support better information sharing (Bell et al., 2024; Halamka & Cerrato, 2025; Kasyapa & Vanmathi, 2024; Vo & Trinh, 2024).

These examples show what technology can do when it is aligned with real-world health needs. It can reduce distance, strengthen monitoring, improve personalization, support emergency logistics, and bring services closer to communities. However, the fact that technology works in one setting does not mean it will succeed everywhere.

The chapter identifies several barriers to adoption: infrastructure deficits, unreliable internet, weak electricity supply, limited funding, weak interoperability, poor usability, digital illiteracy, regulatory uncertainty, cybersecurity risks and resistance to change. These challenges affect both low-resource and high-income settings, although they appear differently across contexts (Alotaibi et al., 2025; Torab-Miandoab et al., 2023). Blockchain offers a useful example. It can support secure health records, data sharing, supply chain transparency, and clinical trial integrity. However, adoption in low- and middle-income countries can be constrained by infrastructure gaps, digital literacy barriers, governance issues, financial limitations, and regulatory uncertainty. Promise does not automatically translate into practice (Kuo etal., 2019; Kigombola & Mahundi, 2024).

Digital health records raise a similar issue. They can improve continuity of care, reduce duplication, and make information more available across providers. Yet they can also create frustration if they are poorly designed, difficult to use, expensive to implement, or unable to communicate with other systems. Technology that does not fit workflows can burden the very professionals it is intended to support.

The key lesson is that a responsible scale requires more than technology. It requires investment in people, systems, governance, and trust. Future research and policy must focus on sustainable financing, interoperability, human-centred design, workforce training, digital literacy, data security, and ethical oversight.

Global health does not need technology for its own sake. It needs technology that strengthens systems, reduces inequalities, and improves lives. The question is not only “What can this innovation do?” but “Can it be used safely, fairly and sustainably by the people and health systems it is intended to support?”

References

Alotaibi, N., Wilson, C. B., & Traynor, M. (2025). Enhancing digital readiness and capability in healthcare: A systematic review of interventions, barriers, and facilitators. BMC Health Services Research, 25(1), 500.

Bell, I. H., Pot-Kolder, R., Rizzo, A., Rus-Calafell, M., Cardi, V., Cella, M., Ward, T., Riches, S.,

Reinoso, M., Thompson, A., Alvarez-Jimenez, M., & Valmaggia, L. (2024). Advances in the use of virtual reality to treat mental health conditions. Nature Reviews Psychology, 3(8), 552–567.

Halamka, J. D., & Cerrato, P. M. (2025). Digital twin technology has potential to redefine care. Mayo Clinic Magazine.

Kasyapa, M. S. B., & Vanmathi, C. (2024). Blockchain integration in healthcare: A comprehensive investigation of use cases, performance issues, and mitigation strategies. Frontiers in Digital Health, 6, 1359858.

Kigombola, A., & Mahundi, M. (2024). Implementing blockchain for health sectors in low- and middle-income countries: Use cases, approaches and challenges. Journal of Health Informatics in Africa, 11(3), 28–40.

Kuo, T.-T., Rojas, H. Z., & Ohno-Machado, L. (2019). Comparison of blockchain platforms: A systematic review and healthcare examples. Journal of the American Medical Informatics Association, 26(5), 462–478.

Torab-Miandoab, A., Samad-Soltani, T., Jodati, A., & Rezaei-Hachesu, P. (2023). Interoperability of heterogeneous health information systems: A systematic literature review. BMC Medical Informatics and Decision Making, 23(1), 18.

Vo, D.-K., & Trinh, K. T. L. (2024). Advances in wearable biosensors for healthcare: Current trends, applications, and future perspectives. Biosensors, 14(11), 301.

To explore the full argument, case studies and complete reference list, read Ameneh Ghazal Saatchi’s chapter, The Role of Technology in Tackling Global Health Challenges, published in Addressing Global Health Challenges Through Financial Innovation and Health Technologies by IGI Global Scientific Publishing: Read the full chapter.