Open Access

Arriel Benis, Mostafa Haghi, Thomas M. Deserno, Oscar Tamburis

• BACKGROUND: Future of digital public health and smart cities is interwoven and deeply linked. Citizen's and pet's conditions in their urban environment are critical for managing urbanization challenges and digital transformation. Inter- and Intra-connectivity of humans and animals take place in a dynamic space. In this environment, each one can share feelings and news over social media, and report an event happening at any time passively or actively via sensors or multimedia channels, respectively. One Digital Health (ODH) proposes a framework for collecting, managing, analyzing data, and supporting health-oriented policy development and implementation. Accident and Emergency Informatics gives tools to identify and manage overtime hazards and disruptive events, their victims and collaterals. OBJECTIVE: We aim to show how ODH framework, through implementing dynamic point of perceptions, supports the analysis of a use case involving a human and an animal in a technological environment-based urban, i.e., smart environment. METHODS: We describe an example of One Digital Health intervention wherein Accident and Emergency Informatics mechanisms run in the background. A One Digital Health Intervention is the implementation of a set of digital functionalities designed and deployed to (1) support specific initiatives that address human, animal, and environmental systems' needs and challenges; (2) assess and study these systems' outcomes and effects, and collect related data; (3) select timely metrics for the outcomes of multi-criteria decision analyses. This example intervention is based on the daily journey of two personas: Tracy (a human) and Mego (Tracy's dog). They live in a metropolis, and their activities are monitored and analyzed with IoT sensors, devices, and tools for preventing and managing any health-related abnormality. RESULTS: We built an example of an ODH Intervention summary table showing examples of "how to" analyze activities of daily living as part of an ODH Intervention. For each activity, its relations to the ODH dimensions are scored, and the relevant technical fields are evaluated in the light of the FAIR (Findable, Accessible, Interoperable, Reusable) principles prism. CONCLUSIONS: The example showcased of ODH intervention provides the basics to build real-world data-based research in a FAIR (Findable, Accessible, Interoperable, Reusable) context to improve continuous health monitoring policies and systems, also for enhancing emergency management. One Digital Health framework provides medical and environmental informaticians, decision-makers, and citizens with tools for improving their daily actions. The additional, integrating Accident and Emergency Informatics layer allows them to better set forth their preparedness and response to potentially acute health-related events. The whole data management cycle must also be processed in a FAIRness way.