For Chrysanthi Dori, Vice President of Technical Services at Medidata, data integration between the real world and clinical trials are a new and emerging frontier with AI. Through this, a complete picture of the patient’s experience in what she called the “patient 360 view” begins to emerge. The different types of data which come from different sources and stakeholders in clinical trials will help move patient care models forward. Furthermore, the decentralization of the trials has led to more types of data, such as data on medication adherence, electronic consent, and self-reported data from patients. The different stakeholders, whether they are CROs or payers, also have their own challenges and priorities, influencing the types of data. By integrating all the data streams, including even cross-study data, clinics can better find solutions which show the value differentiation of a drug and how it benefits patients.

The way data is analyzed is as important as the data itself. Integration will help with patient safety by creating risk-based data management strategies that help uncover data points with greater value over others. Cleaning up and transforming the integrated data help to avoid duplicates, formatting inconsistencies, and other related factors which might produce noise. Once the data trends are visualized, the graphs, charts, and diagrams should be centered on the user’s needs and perspective so they can look at the outcomes and make decisions.