Cancer Treatment Pilot - Greece
The Context
Cancer is a complex disease, encompassing various factors that impact its prevention, progression, treatment, and follow-up. Developing effective decision support tools and AI models for cancer management and prediction requires access to large datasets that encompass multiple levels of data.
However, currently, the necessary data is fragmented across various healthcare silos. In addition to their fragmentation, these datasets often exhibit heterogeneity and data quality issues, hindering their broader utility. Addressing the current challenges in health-related data necessitates breaking down these silos, standardizing, cleaning, and ensuring that data becomes findable, accessible, interoperable, and reusable (FAIR). Furthermore, ensuring security, visualization, and real-time updates/synchronization are crucial for their effective utilization.
Our Pilot
In our Greek pilot project, we aim to tackle the FAIRification of multimodal cancer data, with a particular focus on improving data collection, storage, and accessibility from diverse sources. To achieve this, we will develop a data innovation canvas that maps out stakeholders, data sources, key activities, potential challenges, governance and regulation, customers/users, organizational culture, data expertise, available tools, data channels, added value/impact, and business value.
This will serve as a valuable tool for creating a data ecosystem that facilitates data collection, cleansing, and FAIRification. We will also provide the necessary tools and APIs for each step of the process, alongside detailed workflows for data import and usage. This approach ensures the seamless collaboration of all stakeholders and regulated access to the collected information.
Benefits
The benefits and advantages of digitization and data processing, as well as data sharing enabled by the RSHDS (Regional Smart Health Data Space), are substantial. We anticipate that this platform will maximize the utility of available data, offering easily accessible, standardized datasets. It ensures regulated access to this valuable information, making cancer data both searchable and reusable for modeling and decision support tools. Ultimately, it leads to data-driven insights and more efficient planning and decision-making in cancer care.
