Resumen
Data on minority group physicians from diverse racial/ethnic backgrounds is sparse and not reported by PG metrics at the national level. While PG metrics typically concentrate on the individual, patterns and trends are clearly discernible at the group level and comparison of groups to capture patterns may yield results hitherto unknown. One could even envisage using AI to capture any trends, differences, and comparative figures to build databases for the future. It is time to retool PG surveys to fit the modern U.S. healthcare workforce and be inclusive, and not selective at the individual level.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 85-86 |
| Número de páginas | 2 |
| Publicación | CNS Spectrums |
| Volumen | 29 |
| N.º | 2 |
| DOI | |
| Estado | Published - abr 22 2024 |
Nota bibliográfica
Publisher Copyright:© The Author(s), 2023. Published by Cambridge University Press.
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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Good health and well being
ASJC Scopus subject areas
- Clinical Neurology
- Psychiatry and Mental health
Huella
Profundice en los temas de investigación de 'Unmasking disparities: the challenge of diversity, equity, and inclusion in Press Ganey surveys'. En conjunto forman una huella única.Citar esto
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