Geospatial (aka location-based) data is essential to increase the preparedness for, mitigate the impacts of, and support the responses to major health emergencies, due to its inheritability to facilitate data integration, interoperability, analytics, and modeling.
There is strong potential for OGC standards, such as the SensorThings API and other OGCAPIs, OGC Community Standards, such as Indoor Mapping Data Format (IMDF), and complementary technologies, such as Federated Clouds and Sensor Integration, to support health domain requirements. Open Standards offer a solution to interoperability challenges faced when integrating health data with non-health data (commonly called social determinants of health or SDoH). However, disparities remain in the adoption of standards and frameworks to collect, process, store, integrate, analyze, visualize, share, and protect information, especially within complex Big Data scenarios.
OGC’s Health Domain Working Group (DWG) is the go-to place for location experts from across the globe to discuss the data-integration challenges faced by the health community. Such challenges include: the quantity, quality, consistency, heterogeneity, timeliness, security of the data, and the difficulties, ethics, and privacy implications behind sharing data across disciplines, organizations, and geographic boundaries.
Disaster Pilot 2023
OGC Disaster Pilot: Apply spatial data sharing standards together with Web technologies and cloud computing so that the responsible stakeholders can work together wherever they are located, use relevant data wherever they are stored, and manage every phase of a disaster at any scale wherever it threatens. In a global, cloud-scale disaster information ecosystem, awareness of threats, vulnerabilities, and impacts can be fostered and shared through joint development of workflow recipes that integrate and transform analysis-ready observation and prediction data (ARD) into decision ready indicators (DRI). Indicator workflows, ready to run and adaptable to each situation, provide the guidance that the right people at the right time in the right place need to make decisions, take actions, and improve disaster outcomes.
Health Spatial Data Infrastructure CDS
A common, standardized health geospatial data model and schema will establish a blueprint to better align the community for early warning, response to, and recovery from future health emergencies. Such a data model will help to improve support for critical functions and use cases.
Testbed-19 provides an outstanding opportunity to engage with and lead the latest research on geospatial system design, concept development, and rapid prototyping. The Initiative provides a business opportunity for stakeholders to mutually define, refine, and evolve service interfaces and protocols in the context of hands-on experience and feedback. By participating in Testbed-19, you will shape the future of geospatial software development and data publication.
The OGC Health SDI technical paper proposes a framework for agencies around the globeto support regional SDIs. A Health Spatial Data Infrastructure (SDI) designed to address theissues facing healthcare organizations will raise the efficiency and effectiveness of healthservices, saving lives, protecting the public, and saving money. These frameworks are beingtested in the OGC Innovation Program, as part of the Health SDI Pilot.
To learn more about Health Domain