Quantum Health Policy Readiness: Anticipating the Next Digital Disruption in Public Health A Comparative Policy Analysis and Global Readiness Assessment
This study evaluates the readiness of public health policy frameworks to integrate quantum technologies, highlighting critical gaps in governance, infrastructure, equity, and workforce preparedness. Despite global investments in quantum research, public health systems are not adequately prepared for the potential disruptions quantum technologies will bring. Key strengths include growing investments in research and recognition of digital health challenges, while significant gaps remain, such as a lack of anticipatory governance, insufficient infrastructure in low- and middle-income countries (LMICs), and inadequate quantum literacy among the workforce. To address these gaps, immediate regulatory reforms are essential. Recommendations include integrating quantum principles into digital health frameworks, improving infrastructure to support quantum applications, and enhancing workforce training. By taking proactive steps, public health systems can ensure the equitable and secure deployment of quantum technologies, mitigating the risks of a widening “quantum divide.”
Authors
- Chinwendu F Agu (ORCID: https://orcid.org/0009-0002-0486-452X)
- Gabriel Dogbanya (ORCID: https://orcid.org/0009-0008-9286-8187)
- Ezeamii Patra Chisom
- Ayomide Samuel Ogunrinde
- Bukola Titilayo Fagbemi (ORCID: https://orcid.org/0009-0004-7254-9710)
- Bukola Mekuleyi Asorho
- Temitope Emmanuel Alo
- Jude O. Dilioha (ORCID: https://orcid.org/0009-0006-2841-5453)
- Munachiso Nelson Obiechi (ORCID: https://orcid.org/0009-0009-9451-0389)
Institutions
- Western Illinois University (US)
- Federal University of Technology Owerri (NG)
- East Carolina University (US)
- Windsor University School of Medicine (KN)
- Georgia Southern University (US)
- University of New Haven (US)
- Ladoke Akintola University of Technology (NG)
- University of Maryland, College Park (US)
Publication Details
- Journal
- Journal of Life Science and Public Health
- Published
- 2025-09-20
- DOI
- https://doi.org/10.69739/jlsph.v1i2.966
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00