In this free webinar, gain insights into the significance of data completeness in the context of registries and observational studies, unraveling its impact on efficiency, flexibility and robust evidence generation. Attendees will learn about the limitations of traditional approaches and common challenges associated with incomplete data models through case studies, highlighting the importance of comprehensive data. The featured speakers will discuss the changing landscape of registries and observation-based studies by discussing strategies for future-proofing data completeness initiatives, ensuring sustained scientific impact over time. The speakers will also share how AI, ML and LLM contribute to enhancing data completeness, with real-world applications.
TORONTO, March 6, 2024 /PRNewswire-PRWeb/ -- As stakeholders increasingly seek more robust evidence from registries and observational studies, researchers must adopt innovative methods for generating comprehensive data. Previously restricted by outdated study models, complete data capture is now an efficient and flexible option using cutting-edge technologies, including artificial intelligence (AI), machine learning (ML) and large language models (LLMs). This transformative capability frees life science companies from historical constraints, enabling a better understanding of the course of disease, drug effectiveness, safety and quality of life (QoL).
In this webinar, the experts will explore how advancements in data completeness not only address the mounting demands for evidence generation but also pave the way for achieving scientific relevance and operational efficiency for registries and observational studies.
Attendees will learn more about:
- Why traditional methods employed in observational studies and registries are rapidly becoming obsolete in today's dynamic healthcare environment.
- The increasing demand for greater evidence, particularly patient-generated data, and how technology-enabled study models offer superior capabilities for capturing and analyzing this valuable information.
- The pivotal role that AI and technology play in overcoming the challenges faced in conducting observational studies, paving the way for more efficient and effective research methodologies.
- How PicnicHealth is at the forefront of this technological revolution, utilizing AI and advanced technology to streamline and enhance the efficiency and comprehensiveness of observational studies and registries.
Register for this webinar today to gain insights into how AI, ML and LLM are revolutionizing registries and observational research.
Join experts from PicnicHealth, Kristen Hahn, PhD, MPH, Head of RWE Research; and Troy Astorino (moderator), Chief Technology Officer & Co-Founder, for the live webinar on Monday, March 25, 2024, at 1pm EDT (10am PDT).
For more information, or to register for this event, visit Evidence Unlocked: How AI and Technology Is the Key to More Robust Observational Research.
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