“There are many ways to
create value out of the data
that already lives within your
city. All it takes is a
The Centers for Disease Control and Prevention (CDC) defines exposome as “the measure of all the exposures of an individual in a lifetime and how those exposures relate to health”. Exposomics, the study of exposome, complements genomics, which is the basis for precision medicine. Studies have highlighted that only about 10% of diseases are attributed to genetics, the internal factor, where the environment contributes to further external stressors, a view that is shared[#1][#2][#3]. This case study extends the discussion of an earlier case study, which focuses on enabling clients to deliver digitally-enabled precision healthcare, to include how Atos enables clients to integrate environmental metrics with personal health metrics to deliver digitally-enabled precision healthcare.
Delivering digitally-enabled precision healthcare entails genomics and personal health metrics which provide the current information related to the patient. The ability to augment personal health metrics with location-based environmental data of the patient is expected to enrich analysis and improve personalized medicine and healthcare.
For example, healthcare providers are able to improve predictions by adapting the preventive and personalized healthcare for patients who are allergic to seasonal pollen, based on local weather data for pollen monitoring and forecast. Similarly, asthmatic patients who are travelling through an industrial area with increased air pollutants can be notified of precautionary measures based on early warnings, while patients with kidney conditions can be given more appropriate treatment with data available on the water quality of the patient’s water supply system. As individuals may react differently to the same environment, such data play a critical role in improving precision medicine and healthcare.
In addition, healthcare providers’ access to environment metrics can assist in the early detection of pandemic and epidemic situations.
Atos Smart Territories , a matured digital capability for urban data management, is an enabler for connected cities and smart territories. As more governments are progressively implementing smart city solutions, health-relevant environmental data is becoming increasingly available, if not already accessible. This smart territory platform enables healthcare providers to leverage existing data from the city’s Internet of Things (IoT) and Edge devices to feed environmental metrics to be analyzed with personal health metrics. This therefore enables clients to deliver precision healthcare at a more advanced level by integrating exposomics in its genomics analyses.
This innovative ecosystem ensures interoperability with its open architecture. Atos, a founding member of the FIWARE foundation for open source platform components, incorporates the FIWARE framework to facilitate the consumption of IoT data and the processing of contextualization in real-time and on a large scale to accelerate the development of smart solutions. The oneM2M standard is used as the service layer of machine-to-machine (M2M) and IoT and the European Telecommunication Standards Institute (ETSI) Intelligent Transport Systems (ITS) as the communication standard for transport systems.
This digital capability is cloud agnostic and available on hybrid as well as private cloud. Designed for high availability and scalability with containerized architecture, its operation is fully managed and automated with Atos Managed OpenShift (AMOS), which can be extended to manage other applications in the clients’ cloud landscape. Atos’ capability in end-to-end “full stack” cloud solutions and its world-class alliance and partnerships with notable hyperscalers support healthcare providers to mature in their respective journeys to the cloud.
Leader in secure and decarbonized digital
The recent and first documented fatality from a ransomware attack asserts that insufficient coverage for digital security can be detrimental. This is especially so for precision healthcare which is totally dependent on managing and analyzing personal electronic health record (EHR). Atos’ leadership in managed security services (ranked no.3 worldwide by Gartner, and top in Europe) and its continuous development of high performance computing (HPC) with improved cooling system provides healthcare providers the secure and greener infrastructure for its research and development (R&D) to offer predictive, preventive, personalized and participatory healthcare measures across the continuum of care.
As a co-founder of GAIA-X, a project aimed at developing common requirements for data infrastructure in Europe, Atos is committed to building this secure, data and cloud framework that enables the healthcare ecosystem with data well beyond traditional sources. These capabilities support healthcare providers in their digital journey and enable them to incorporate environmental metrics to deliver digitally-enabled precision healthcare at progressive levels.
This case study was developed by members of the Atos Scientific Community, Expert Community and other experts in the Healthcare & Life Sciences industry and Smart solutions teams:
Carrie Chow (Editor in Chief), Cyrille Sauvignac, Dr. Heather Haugen and Mary Sirois.
With special thanks to Darius Matboo-Raftarhaghi.
Atos Expert Community
The Atos Expert Community is our driving force for technical collaboration, ideation, innovative research and development. Our experts help to steer our business strategy; building our technology roadmap by anticipating the products and services that will be needed by the market.
Atos Scientific Community
The Atos Scientific Community crafts the Group’s vision for the future of technology in business, and anticipates the upcoming trends and technologies that will shape businesses and society in the years ahead. Its global network comprises more than 160 of the top scientists, engineers and forward thinkers from across the Group. Together they represent a rich mix of skills, experience and backgrounds.