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Virtual Fireside Chat
The Future of Clinical Trial Matching is Digital

How do you overcome obstacles that prevent the wider adoption of clinical trial matching solutions?

A virtual panel of industry experts provided diverse perspectives on critical questions that each healthcare institution should consider before implementing AI / NLP to automate clinical trial matching.

Discussion Topics:

Matching patients to clinical trials, especially as close to the initial diagnosis as possible, may have a critical impact on patient outcomes. Yet, due to a largely manual, time-consuming, and error-prone process, many healthcare institutions experience significant inefficiencies in that area.

An increasing number of hospitals and health systems are setting their sights on new technology, such as Artificial Intelligence (AI) and Natural Language Processing (NLP), to streamline this process. They are starting to uncover additional hurdles that may need to be resolved before fully automating clinical trial matching.

While some of these hurdles relate to the accuracy and reliability of the underlying technology driving this automation, other challenges fall more on the behavioral side and relate to clinicians’ willingness to adopt AI systems.

This virtual event featured several experts with significant experience in the oncology clinical trials space. Key topics of the discussion included:

  • What are the main workflows that a clinical trial matching solution should and can automate?
  • What are the key benefits of applying technology to automate clinical trial matching?
    • How can automation help healthcare organizations identify and enroll more patients from under-represented groups?
    • How can a more efficient and effective clinical trial matching process lead to better patient outcomes and satisfaction?
    • What can technology do to prevent staff burnout, empower Research departments, and improve healthcare organizations' reputations?
  • What makes clinicians skeptical about applying AI / NLP technology for clinical decision support, including clinical trial matching?
  • What can be done to alleviate concerns and improve the adoption of clinical trial matching technology?

View the Replay:


Samantha Kilgallen

Samantha Kilgallen

Moderator of the Panel
Customer Success Manager

Meredith Schwarz-profile

Meredith Schwarz, MSN, RN

Clinical Research Manager
Allegheny Health Network Research Institute

Brenda Noggy

Brenda Noggy, RN, BSN, CCRP

Former Clinical Trial Operations Director
Co-Founder and Co-CEO

Dr. Brandon Mahal

Brandon Mahal, MD

Asst. Director of Community Outreach and Engagement
Sylvester CCC, University of Miami Miller School of Medicine

Rajan Gopalakrishnan

Rajan Gopalakrishnan, MS

Director of Informatics and IT
University of Chicago Medicine CCC

Suhas Gudihal

Suhas Gudihal

Co-Founder & Chief Innovation Officer
ANJU Life Sciences

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