12/06/2024

Optimizing Clinical Trial Subject Selection: Insights from Exigent Research Network and the Tempus AI TIME Program Collaboration

AI in Precision Oncology Manuscript
Authors Samantha Mallahan, Ajeet Gajra, Sibel Blau, Julio Peguero, Mahran Shoukier, Mohammed Kanaan, Chanh Huynh, Daniel Efiom-Ekaha, Hema Vankayala, Kyle Kitchen, Stephan DiSean Kendall, James Orsini Jr, Sunil Babu, Jessica Hellyer, Thomas Weart, Janelle Meyer, Paul Zito, Annie Darmofal, Danielle Skelly, Emily Patnaude, Chelsea Osterman, and Matthew M. Cooney

Background

The Exigent Research Network comprises independent community oncology practices engaged in clinical research. The Tempus AI TIME Program is a robust collection of clinical trial solutions including an AI-powered clinical trial matching software (TApp), a team of oncology screening nurses, a rapid trial activation process, and a patient portal for tracking identified trial matches (LINK). This article describes the Exigent and TIME Program collaboration during a 2-year period and its impact on screening, matching, and enrollment into clinical trials.

Methods

The TApp is a Tempus AI clinical trial matching platform that utilizes patient data, trial eligibility criteria, and natural language processing (NLP) models to execute a daily algorithmic matching of subjects to trials. Potential matches identified by the TApp were reviewed by the Tempus AI nursing team, and if confirmed, sent to the Exigent site via the LINK portal. Sites activated a trial in a “just-in-time” (JIT) manner or prospectively if a first patient was not yet identified.

Results

Between January 1, 2022 and December 31, 2023, a total of 244,986 patients from Exigent’s 16 sites were screened by the TApp against the 189 clinical trials in the TIME portfolio. There were 3,179,079 changes to individual patient records and 2152 trial updates, which resulted in 216,712,093 unique TApp searches. Tempus AI nurses reviewed 33,083 matches and passed 6040 patients to sites for interventional trials and 1312 patients for observational studies. There were 71 trial activations resulting in 312 patient consents (169 observational, 143 interventional). The average duration for study activation was 12.3 days for a JIT activation and 33.8 days for a prospective activation.

Conclusions

The Exigent Research Network leveraged a central data repository with the Tempus AI TIME Program to continuously screen their patient population for 185+ trials. During a 2-year period, 216M+ unique TApp searches occurred, which resulted in over 310 consents with rapid activation times. Future clinical trial strategies should partner AI screening technologies with robust trial infrastructure to maximize enrollment success.

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