2 resultados para Faculty Affairs

em Duke University


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Abstract The transition from trainee to junior faculty member can be both exciting and daunting. However, a paucity of medical literature exists to help guide new faculty in this transition. Therefore, we adapted work from the business management literature on what is referred to as "on-boarding"; effectively integrating and advancing one's position as a new employee. This article outlines strategies for cultivating one's own on-boarding as a junior faculty member at large academic medical centers. These strategies are extrapolated from management practices, culled from the medical literature on developing and retaining junior faculty, and, finally, borrowed from the hard-won knowledge of junior and senior faculty members. They advise new faculty to: (1) start early, (2) define your role--"managing yourself," (3) invest in/secure early wins, (4) manage your manager, (5) identify the "true (or hidden)" organizational culture, (6) reassess your own goals--"look in the rearview mirror and to the horizon," and (7) use your mentors effectively. These strategies provide a roadmap for new faculty members to transition as effectively as possible to their new jobs.

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BACKGROUND: Automated reporting of estimated glomerular filtration rate (eGFR) is a recent advance in laboratory information technology (IT) that generates a measure of kidney function with chemistry laboratory results to aid early detection of chronic kidney disease (CKD). Because accurate diagnosis of CKD is critical to optimal medical decision-making, several clinical practice guidelines have recommended the use of automated eGFR reporting. Since its introduction, automated eGFR reporting has not been uniformly implemented by U. S. laboratories despite the growing prevalence of CKD. CKD is highly prevalent within the Veterans Health Administration (VHA), and implementation of automated eGFR reporting within this integrated healthcare system has the potential to improve care. In July 2004, the VHA adopted automated eGFR reporting through a system-wide mandate for software implementation by individual VHA laboratories. This study examines the timing of software implementation by individual VHA laboratories and factors associated with implementation. METHODS: We performed a retrospective observational study of laboratories in VHA facilities from July 2004 to September 2009. Using laboratory data, we identified the status of implementation of automated eGFR reporting for each facility and the time to actual implementation from the date the VHA adopted its policy for automated eGFR reporting. Using survey and administrative data, we assessed facility organizational characteristics associated with implementation of automated eGFR reporting via bivariate analyses. RESULTS: Of 104 VHA laboratories, 88% implemented automated eGFR reporting in existing laboratory IT systems by the end of the study period. Time to initial implementation ranged from 0.2 to 4.0 years with a median of 1.8 years. All VHA facilities with on-site dialysis units implemented the eGFR software (52%, p<0.001). Other organizational characteristics were not statistically significant. CONCLUSIONS: The VHA did not have uniform implementation of automated eGFR reporting across its facilities. Facility-level organizational characteristics were not associated with implementation, and this suggests that decisions for implementation of this software are not related to facility-level quality improvement measures. Additional studies on implementation of laboratory IT, such as automated eGFR reporting, could identify factors that are related to more timely implementation and lead to better healthcare delivery.