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. 2015 Apr 30;125(18):2745-52.
doi: 10.1182/blood-2015-01-617811. Epub 2015 Mar 10.

Planning for the future workforce in hematology research

Affiliations

Planning for the future workforce in hematology research

W Keith Hoots et al. Blood. .

Abstract

The medical research and training enterprise in the United States is complex in both its scope and implementation. Accordingly, adaptations to the associated workforce needs present particular challenges. This is particularly true for maintaining or expanding national needs for physician-scientists where training resource requirements and competitive transitional milestones are substantial. For the individual, these phenomena can produce financial burden, prolong the career trajectory, and significantly influence career pathways. Hence, when national data suggest that future medical research needs in a scientific area may be met in a less than optimal manner, strategies to expand research and training capacity must follow. This article defines such an exigency for research and training in nonneoplastic hematology and presents potential strategies for addressing these critical workforce needs. The considerations presented herein reflect a summary of the discussions presented at 2 workshops cosponsored by the National Heart, Lung, and Blood Institute and the American Society of Hematology.

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Figures

Figure 1
Figure 1
New Investigator–initiated R01 principal investigator awards. Shown are the numbers of principal investigators applying to (PIs Apps, red) and funded by (PIs Awarded, blue) the NHLBI DBDR beginning in fiscal year (FY) 2000 and ending September 30, 2013 (FY 2013). Each funded principal investigator is included only in the first year during which he or she applied or was funded. This includes new and established principal investigators who were funded prior to FY 2000. The graph may be said to represent the “steady-state” of new or reentering hematologic PIs funded by the NHLBI DBDR over the represented time period.
Figure 2
Figure 2
Average age of principal investigators. Graph plots the average age of principle investigators unfunded (red) and funded (blue) by the NHLBI DBDR between the years 2000 and 2008.
Figure 3
Figure 3
Ranking of published papers authored by investigators funded by the NHLBI DBDR in the years 1980-2010. For ranking purposes, all articles cited in Web of Science are evaluated by a proprietary algorithm developed by Thompson Reuters. The denominator is the total of top 10% (A) or top 1% (B) of papers published by any investigator funded by NHLBI in that year.

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