An important result so far is the development of a proof-of-concept tool for securely managing and sharing distributed data, and a set of data analysis tools. The data used are those from the hospitals involved in this project, collected from patients. Users of the platform authenticate themselves, and an access control mechanism restricts access to only data authorized for a given user. The PoC also includes an AI companion for expressing queries in natural language and then producing formal queries that is used by the system to synthesize answers from data sources.
Through a comprehensive analysis of diverse medical and psychosocial data using both qualitative and quantitative methods, QUALITOP intends to develop personalized treatment approaches tailored to individual patient needs. This approach not only aims to improve treatment adherence and outcomes but also seeks to enhance overall patient care and satisfaction.
Health data are increasingly collected and stored in warehouses, requiring cumbersome administrative procedures before they can be used in projects. On the other hand, the lack of interoperability between data and the systems that manage them does not facilitate their joint exploitation. The Qualitop platform, based on the Polystore approach, offers a declarative and secure approach for integrating heterogeneous data sources. This approach could open up new prospects for large-scale data sharing of sensitive data. Moreover, the development of the platform provided an excellent opportunity to explore new techniques to bridge the gap between data management and data analysis, coupled with machine learning.
Our project has developed qualitative and quantitative models that provide a systems perspective on the quality of life for cancer patients undergoing immunotherapy. These models help stakeholders understand the complex interactions between various factors affecting patient well-being and suggest ways to improve it. By offering insights into the dynamics of these factors, the interactions can be better understood, aiding policymakers in making informed decisions about cost-effective strategies. Overall, this systems approach promotes a better understanding for improved patient support and potential enhancements in healthcare.
The project's findings are expected to influence policy-making and clinical guidelines for immunotherapy across Europe, promoting standardized care practices. Additionally, by examining factors influencing patients' return to work and integrating these insights, QUALITOP aims to support initiatives that facilitate patients in resuming their professional lives, benefiting both individuals and the economy.
Dissemination of QUALITOP's findings through various channels, including publications, conferences, workshops, and public engagement activities, will raise awareness and educate stakeholders about the challenges and successes of immunotherapy.
