Traditional approaches to observational research often capture only a fraction of a patient’s healthcare journey and give little attention to patients’ experiences with therapeutics. Such a narrow view can diminish the ability of real-world evidence to provide insights to support decision-making by patients, providers, payers, and regulators.

With new advancements in technology and AI, researchers can now easily consent patients into a study and quickly tap into their past clinical encounters to create an on-going inflow of data as medical encounters occur. This means insights can be generated from all of patients’ structured and unstructured provider records, labs, claims, and long-term PRO responses – without tokens, data gaps, or loss-to-follow-up – for radically simplified observational research. These same tools can be used to collect data directly from patients prospectively while at the same time providing direct value to them with an information tool at hand, a technique that has demonstrated increased study retention and engagement.

In this presentation, participants will learn:

• How technology and AI can enhance the depth and breadth of real-world data and provide value back to patients
• How engaging patients in studies enables researchers to collect more information from them directly, leading to more robust and clinically-informative research
• How these advanced technologies have been leveraged in real world research to engage patients and generate novel insights