Monitoring Diversity in Faculty Using Applicant Flow Data: Lessons Learned

dc.contributor.author	Rosal, Milagros C
dc.contributor.author	Duncan, Marlina
dc.contributor.author	Hirabayashi, Natasja
dc.contributor.author	Person, Sharina
dc.date.accessioned	2023-05-23T19:45:11Z
dc.date.available	2023-05-23T19:45:11Z
dc.date.issued	2023-04-12
dc.identifier.citation	Rosal MC, Duncan M, Hirabayashi N, Person S. Monitoring Diversity in Faculty Using Applicant Flow Data: Lessons Learned. Med Care. 2023 Jun 1;61(6):351-352. doi: 10.1097/MLR.0000000000001860. Epub 2023 Apr 12. PMID: 37068010.	en_US
dc.identifier.eissn	1537-1948
dc.identifier.doi	10.1097/MLR.0000000000001860	en_US
dc.identifier.pmid	37068010
dc.identifier.uri	http://hdl.handle.net/20.500.14038/52100
dc.description.abstract	We applaud Dr Adaugo Amobi’s commentary in this issue of Medical Care regarding physician workforce diversity, the importance of systems to track physician hiring practices in aggregate and over time, and the use of these data to inform efforts to improve workforce diversity.	en_US
dc.language.iso	en	en_US
dc.relation.ispartof	Medical Care	en_US
dc.relation.url	https://doi.org/10.1097/mlr.0000000000001860	en_US
dc.title	Monitoring Diversity in Faculty Using Applicant Flow Data: Lessons Learned	en_US
dc.type	Response or Comment	en_US
dc.source.journaltitle	Medical care
dc.source.volume	61
dc.source.issue	6
dc.source.beginpage	351
dc.source.endpage	352
dc.source.country	United States
dc.identifier.journal	Medical care
dc.contributor.department	Population and Quantitative Health Sciences	en_US