Work

Mixed-methods evaluation of three natural language processing modeling approaches for measuring documented goals-of-care discussions in the electronic health record

Year: 2022

Type: article

Source: Journal of Pain and Symptom Management

DOI: 10.1016/j.jpainsymman.2022.02.006

Authors: Alison M. Uyeda, J. Randall Curtis, Ruth A. Engelberg, Lyndia C. Brumback, Yue Guo, James Sibley, William B. Lober, Trevor Cohen, Janaki Torrence, Joanna Heywood, Sudiptho R. Paul, Erin K. Kross, Robert Y. Lee

Institutions: University of Washington, Harborview Medical Center

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Institute of Translational Health Sciences, National Palliative Care Research Center, Cambia Health Foundation, National Institutes of Health, Institute of Translational Health Sciences, University of Washington, National Institute on Aging, National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences

Awards: University of Washington Implementation Science Training Program (UW-ISTP)K12, Using the Electronic Health Record to Identify and Promote Goals-of-Care Communication for Older Patients with Serious Illness, Institute of Translational Health Sciences

OpenAlex ID: W4212982930

FWCI: 1.071

Cites: 66

Cited by: 19

Related to: 10