Your browser doesn't support javascript.
loading
How to implement paid family and medical leave: A toolkit for practices.
Chen, Cathy H; Davison, Jamie R; Perchik, Jordan D; Arleo, Elizabeth K; Magudia, Kirti; Porter, Kristin K.
Afiliación
  • Chen CH; University of Alabama at Birmingham Department of Radiology, Birmingham, AL, USA.
  • Davison JR; University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA.
  • Perchik JD; University of Alabama at Birmingham Department of Radiology, Birmingham, AL, USA.
  • Arleo EK; New York-Presbyterian Hospital/Weill Cornell Medical Center, Department of Radiology, New York, NY, USA.
  • Magudia K; Duke University School of Medicine, Durham, NC, USA.
  • Porter KK; University of Alabama at Birmingham Department of Radiology, Birmingham, AL, USA. Electronic address: kkporter@uabmc.edu.
Clin Imaging ; 91: 52-55, 2022 Nov.
Article en En | MEDLINE | ID: mdl-35988474
ABSTRACT
Paid family and medical leave policies are increasingly popular in today's competitive labor market and provide well-documented advantages to all stakeholders. Implementing paid leave for radiologists can seem daunting due to overlapping legal and institutional policies, logistical challenges and call coverage, as well as industry-specific special considerations such as resident education and historical workplace attitudes. This toolkit can empower radiology leaders to implement written paid leave policies in their home institutions and demonstrate that equitable, compassionate institutional policies for paid leave are financially favorable, widely desirable, and increasingly achievable with the right tools in hand.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Empleo Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Clin Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Empleo Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Clin Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
...