Transforming Site Solutions: How Intelligent Technology Reduces Pain Points in Clinical Research 

Webcast

Webcast

Thu, Oct 20, 2022 11:00 AM EDT Helping cancer centers rapidly and more accurately assess patient populations can dramatically reduce the time it takes cancer centers to gather the data to complete sponsor feasibility surveys, while increasing the specificity, clarity, and understanding of patient populations. Cancer centers can select trials with greater confidence of their ability to enroll patients and thereby reach targets for their research program without bias.

Register Freehttp://www.appliedclinicaltrialsonline.com/act_w/transform_oncology

Event Overview:

Clinical research sites struggle to keep pace with the possibilities of clinical trials as a care option for their patients. Globally, more than 80% of trials fail to enroll on time, often resulting in an extension of study and/or addition of new study sites (Desai, 2020). Data to find suitable patients and the right sites has historically been largely a manual and time-consuming task. However, data capture and analysis advancements now enable investigators and research staff to more rapidly and accurately assess patient populations in order to make trials more successful.

As data engineering moves away from traditional siloed data management to more advanced data transfer, ingestion, analysis and exploration, researchers can bring disparate data together for efficient decisions about trial options for care, trial feasibility for their site, and concrete patient matching for therapies that can also amplify diversity in trial participant representation. Helping research sites rapidly and more accurately assess patient populations can dramatically reduce the time it takes sites to gather data while increasing the specificity, clarity, and understanding of patient populations.

Join Inteliquet’s Site Operations expert Betsy Wagner as she explores these topics:

  • Removing implicit bias by leveraging proven solutions for querying patient populations
  • New approaches to data management that increase efficiency for research study activities while delivering more personalized care options
  • Understand opportunities for data automation in patient finding and patient matching workflows that help generate predictive outcomes

Speakers:

Jeanie Magdalena Gatewood
Managing Director
Inteliquet, IQVIA Business

As an innovative healthcare professional, Ms. Gatewood has forged matrixed organizational alliances and partnerships to meet common objectives throughout various levels of leadership. She served as VP, Clinical Research Strategy at TempleHealth Fox Chase; Director, Office of Clinical Research at NYU Langone Medical Center, and Consulting Manager, Aptium E. NY, a subsidiary of AstraZeneca. Jeanie has also served on the prestigious faculty for HealthStream and as Adjunct at NYU School of Medicine & NYU College of Dentistry.

Betsy Wagner
Associate Director
Inteliquet, IQVIA Business

Betsy Wagner is a seasoned clinical research professional with 15+ years of progressive site, CRO, and vendor experience. She has a deep background in clinical trial operations and patient recruitment, using traditional and tech-enabled solutions. She has overseen departmental growth in both academic and community research settings, providing a variety of experiences to inform how sites can be their best in order to facilitate more patients having access to more trials.

Register Free: http://www.appliedclinicaltrialsonline.com/act_w/transform_oncology

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