Melissa Easy and Tim Riely of IQVIA talk about the current state of AI in life sciences and clinical trials. They discuss overcoming challenges in clinical trials during the pandemic with the help of AI technologies. They also highlight the challenges of applying AI in clinical trials and explore ways to reduce patient burden and design effective trials. The impact of AI-enhanced clinical trials on patient experiences is discussed, emphasizing the need for easy patient journeys and diversity in representation.
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Quick takeaways
Clinical trials are changing thanks to data and more people seek them as alternative care.
Advanced tools are needed to effectively manage and analyze the exponential growth of data in clinical trials.
Deep dives
Challenges in Streamlining Clinical Analytics Post-Pandemic
The podcast episode discusses the challenges faced by life science leaders in streamlining clinical analytics after the COVID-19 era of drug development. The industry is currently pausing and reevaluating the data flow and support for doctors and patients in clinical trials. The influx of technology during the pandemic, such as decentralized clinical trials, created downstream operational challenges that need to be addressed. The episode emphasizes the need to apply data insights effectively to manage the increasing amount of data collected in clinical trials.
The Impacts of the Pandemic on Clinical Trials
The podcast highlights the significant challenges faced by clinical trials during the pandemic, including patient recruitment, following protocols, and site monitoring. The guests explain how technology and data played a crucial role in mitigating these challenges. Technologies such as predictive algorithms helped identify sites that were accepting patients, facilitated remote interactions, and enabled data collection through connected devices. The episode emphasizes the exponential growth of data and the need for advanced tools to manage and analyze it effectively.
Patient Burden and the Voice of the Patient
The episode explores the concept of patient burden in clinical trials and the importance of considering the voice of the patient. It discusses the need to design studies that minimize patient burden by using technology to simplify processes. The podcast also discusses how patient burden scores can guide trial design and improve patient experience. Additionally, the episode discusses the significance of diversity and inclusion in clinical trials, using data to ensure representation of different populations and communities to enhance the generalizability and effectiveness of treatments.
Today’s guests are Melissa Easy, Vice President and General Manager of Clinical Technologies at IQVIA, and Tim Riely, Vice President of Clinical Data Analytics at IQVIA. They join Emerj Senior Editor Matthew DeMello on the program to talk about the current state of AI in life sciences and clinical trials. Throughout the episode, Melissa and Tim underscore the extent that clinical trials are changing thanks to data, and how life sciences will change as more people seek clinical trials as a form of alternative care. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.
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