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

Author:

Do Nhan V.12,Elbers Danne C.13,Fillmore Nathanael R.13,Ajjarapu Samuel1,Bergstrom Steven J.1,Bihn John1,Corrigan June K.1,Dhond Rupali12,Dipietro Svitlana1,Dolgin Arkadiy1,Feldman Theodore C.1,Goryachev Sergey D.1,Huhmann Linden B.1,La Jennifer1,Marcantonio Paul A.1,McGrath Kyle M.1,Miller Stephen J.1,Nguyen Vinh Q.1,Schneeloch George R.1,Sung Feng-Chi1,Swinnerton Kaitlin N.1,Tarren Amelia H.1,Tosi Hannah M.1,Valley Danielle1,Vo Austin D.1,Yildirim Cenk1,Zheng Chunlei1,Zwolinski Robert1,Sarosy Gisele A.4,Loose David4,Shannon Colleen1,Brophy Mary T.12

Affiliation:

1. VA Boston Healthcare System, Boston MA, USA

2. Boston University School of Medicine, Boston MA, USA

3. Harvard Medical School, Boston MA, USA

4. National Cancer Institute, Bethesda MD, USA

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.

Publisher

IOS Press

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