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2021 ◽  
Author(s):  
Katharine Lawrence ◽  
Oded Nov ◽  
Devin Mann ◽  
Kanan Shah ◽  
Eduardo Iturrate ◽  
...  

BACKGROUND Telemedicine as a mode of healthcare work has grown dramatically during the COVID-19 pandemic; the impact of this transition on clinicians’ after-hours EHR-based clinical and administrative work is unclear. OBJECTIVE This study assesses the impact of the transition to telemedicine work during the COVID-19 pandemic on physicians’ EHR-based after-hours workload (“work-after-work”) at a large academic medical center in New York City. METHODS We conducted an EHR-based retrospective cohort study of ambulatory care physicians providing telemedicine services during the pre-pandemic, acute pandemic, and post-acute pandemic periods, relating EHR-based work after work to telemedicine intensity (percentage of care provided via telemedicine), and clinical load (patient load per provider). RESULTS 2,129 physicians were included in this study. During the acute pandemic, the volume of care provided via telemedicine significantly increased across all physicians, while patient volume decreased. When normalizing for clinical load (average appointments per day by average clinical days per week), telemedicine intensity was positively associated with work-after-work across time periods. This association was strongest in the post-acute period. CONCLUSIONS Taking physicians’ clinical load into account, physicians who devoted a higher proportion of their clinical time to telemedicine throughout the various stages of the pandemic engaged in higher levels of EHR-based after-hours than those who used telemedicine less intensively. This suggests that telemedicine may not be inherently more efficient than in-person-based care, and may not reduce the after-hours work burden of physicians. CLINICALTRIAL N/a


2021 ◽  
pp. 1-11
Author(s):  
Gianna Fote ◽  
Jie Wu ◽  
Mark Mapstone ◽  
Fabio Macciardi ◽  
Massimo S. Fiandaca ◽  
...  

Background: Altered plasma levels of sphingolipids, including sphingomyelins (SM), have been found in mouse models of Alzheimer’s disease (AD) and in AD patient plasma samples. Objective: This study assesses fourteen plasma SM species in a late-onset AD (LOAD) patient cohort (n = 138). Methods: Specimens from control, preclinical, and symptomatic subjects were analyzed using targeted mass-spectrometry-based metabolomic methods. Results: Total plasma SM levels were not significantly affected by age or cognitive status. However, one metabolite that has been elevated in manifest AD in several recent studies, SM OHC14:1, was reduced significantly in pre-clinical AD and MCI relative to normal controls. Conclusion: We recommend additional comprehensive plasma lipidomics in experimental and clinical biospecimens related to LOAD that might advance the utility of plasma sphingomyelin levels in molecular phenotyping and interpretations of pathobiological mechanisms.


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