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Automated Electronic Health Record–Based Tool for Identification of Patients With Metastatic Disease to Facilitate Clinical Trial Patient Ascertainment

Autor: Steven Dunder, Evelyn Siu, Kelly Cohn, Caroline Nightingale, Peter Larson, Karri Donahue, Madeline Richey, Jeffrey J. Kirshner, Zexi Chen, H. James Hamrick, Donegan Janet, Melissa Estevez, Sutton Lauren

Publikováno v: JCO Clinical Cancer Informatics. :719-727

PURPOSE To facilitate identification of clinical trial participation candidates, we developed a machine learning tool that automates the determination of a patient's metastatic status, on the basis of unstructured electronic health record (EHR) data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00e1c99f670c5dd78c884bbd1ce53e5
https://doi.org/10.1200/cci.20.00180

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An automated EHR-based tool for identification of patients (pts) with metastatic disease to facilitate clinical trial pt ascertainment

Autor: James Hamrick, Kelly Cohn, Zexi Chen, Larson Peter, Steven Dunder, Jeffrey J. Kirshner, Donegan Janet, Caroline Nightingale, Evelyn Siu, Karri Donahue, Madeline Richey, Sutton Lauren

Publikováno v: Journal of Clinical Oncology. 38:2051-2051

2051 Background: Efforts to facilitate patient identification for clinical trials in routine practice, such as automating electronic health record (EHR) data reviews, are hindered by the lack of information on metastatic status in structured format.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::698b062ad0a7de426848c19c15500ee0
https://doi.org/10.1200/jco.2020.38.15_suppl.2051

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