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. 2024 Jan 25:310:1086-1090.
doi: 10.3233/SHTI231132.

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow

Nhan V Do  1   2 , Danne C Elbers  1   3 , Nathanael R Fillmore  1   3 , Samuel Ajjarapu  1 , Steven J Bergstrom  1 , John Bihn  1 , June K Corrigan  1 , Rupali Dhond  1   2 , Svitlana Dipietro  1 , Arkadiy Dolgin  1 , Theodore C Feldman  1 , Sergey D Goryachev  1 , Linden B Huhmann  1 , Jennifer La  1 , Paul A Marcantonio  1 , Kyle M McGrath  1 , Stephen J Miller  1 , Vinh Q Nguyen  1 , George R Schneeloch  1 , Feng-Chi Sung  1 , Kaitlin N Swinnerton  1 , Amelia H Tarren  1 , Hannah M Tosi  1 , Danielle Valley  1 , Austin D Vo  1 , Cenk Yildirim  1 , Chunlei Zheng  1 , Robert Zwolinski  1 , Gisele A Sarosy  4 , David Loose  4 , Colleen Shannon  1 , Mary T Brophy  1   2
Affiliations

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow

Nhan V Do et al. Stud Health Technol Inform. .

Abstract

Clinical trial enrollment is impeded by the significant time burden placed on research coordinators screening eligible patients. With 50,000 new cancer cases every year, the Veterans Health Administration (VHA) has made increased access for Veterans to high-quality clinical trials a priority. To aid in this effort, we worked with research coordinators to build the MPACT (Matching Patients to Accelerate Clinical Trials) platform with a goal of improving efficiency in the screening process. MPACT supports both a trial prescreening workflow and a screening workflow, employing Natural Language Processing and Data Science methods to produce reliable phenotypes of trial eligibility criteria. MPACT also has a functionality to track a patient's eligibility status over time. Qualitative feedback has been promising with users reporting a reduction in time spent on identifying eligible patients.

Keywords: Clinical trials; NLP; workflow.

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Figures

Figure 1.
Figure 1.
Eligibility Screening.
Figure 2.
Figure 2.
Dashboard tracking potentially eligible patients.
See this image and copyright information in PMC

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