A Digital One Health framework to integrate data for public health decision-making

The current implementation of One Health primarily focuses on multi-sectoral collaboration but often overlooks opportunities to integrate contextual and pathogen-related data into a unified data resource. This lack of integration hampers effective, data-driven decision-making in One Health activities. In this perspective, we examine the existing strategies for data sharing and identify gaps and barriers to integration. To overcome these challenges, we propose the Digital One Health (DOH) framework for data integration, which consolidates data sharing principles within five pillars for the One Health community of practice:
a) Harmonization of standards to establish trust,
b) Automation of data capture to enhance quality and efficiency,
c) Integration of data at point of capture to limit bureaucracy,
d) Onboard data analysis to articulate utility, and
e) Archiving and governance to safeguard the One Health data resource.
We discuss an upcoming pilot program as a use case focusing on antimicrobial resistance (AMR) surveillance to illustrate the application of this framework. Our ambition is to leverage technology to create data as a shared resource using DOH not only to overcome current structural barriers but also to address prevailing ethical and legal concerns. By doing so, we can enhance the efficiency and effectiveness of decision-making processes in the One Health community of practice, at a national, regional, and international level.