Details

Autor(en) / Beteiligte

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

Titel

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

Ist Teil von

• Studies in health technology and informatics, 2024-01, Vol.310, p.1086

Ort / Verlag

Netherlands

Erscheinungsjahr

2024

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.