Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.

Idnay, Betina; Fang, Yilu; Dreisbach, Caitlin; Marder, Karen; Weng, Chunhua; Schnall, Rebecca

Idnay, Betina; Fang, Yilu; Dreisbach, Caitlin; Marder, Karen; Weng, Chunhua; Schnall, Rebecca.

Afiliación

Idnay B; Columbia University, School of Nursing, New York, NY, USA; Columbia University, Department of Neurology, New York, NY, USA; Columbia University, Department of Biomedical Informatics, New York, NY, USA. Electronic address: bsi2102@cumc.columbia.edu.
Fang Y; Columbia University, Department of Biomedical Informatics, New York, NY, USA.
Dreisbach C; Columbia University, Data Science Institute, New York, NY, USA.
Marder K; Columbia University, Department of Neurology, New York, NY, USA.
Weng C; Columbia University, Department of Biomedical Informatics, New York, NY, USA.
Schnall R; Columbia University, School of Nursing, New York, NY, USA; Columbia University, Mailman School of Public Health, Department of Population and Family Health, New York, NY, USA.

Int J Med Inform ; 171: 104985, 2023 03.

Article en En | MEDLINE | ID: mdl-36638583

Asunto(s)

Procesamiento de Lenguaje Natural; Interfaz Usuario-Computador; Humanos; Femenino; Adulto Joven; Adulto; Persona de Mediana Edad; Computadores; Registros Electrónicos de Salud; Registros

Palabras clave

Clinical research; Cognitive walkthrough; Cohort identification; Eligibility prescreening; Natural language processing; Usability

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Interfaz Usuario-Computador Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

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