1. Anesthesiology Application - Google Drive
Average applicants: Apply regionally based on your school's address, and apply to 80+ programs. If you get a last minute invite, bend over backwards to try ...
ApplicantData 3,Please click "Unlink form",Please click "Unlink form" ,Please click "Unlink form",@ Google Form to Add Data Timestamp,Email Address,Identifier,region,Step 1,Step 2,Quartile,Any red flags?,# Pubs,Degrees,# Apps,# Interviews,Some...
2. [PDF] Advance Data Tables 2023 Main Residency Match® | NRMP
Applicants can rank multiple specialties. In 2023, 2,273 applicants matched to both PGY-1 and PGY-2 positions; Of those applicants, 1,783 were U.S.. MD seniors.
3. ERAS® Statistics - AAMC
This PDF spreadsheet details 2023 ERAS cross-application data for applicants by medical school type and specialty. This data is important for our medical ...
This page contains current and historical data related to ERAS applicants and applications.
4. Anesthesiologists Center | CMS
Jan 25, 2024 · 2023 Anesthesia Conversion Factors (ZIP) (Updated 01/06/2023) ... The anesthesia base units are unchanged for CY 2023. 2022 Anesthesia Conversion ...
Anesthesiologists Center
5. Residency Explorer™ Tool: Home
The Residency Explorer tool will allow you to explore and compare residency programs in 25 specialties. We encourage you to consult with a trusted advisor or ...
About Residency ExplorerTM
6. Physician Fee Schedule - CMS
PFS Relative Value Files · CMS-1784-F · Look-Up Tool · Psychological and
On March 9, 2024, President Biden signed the Consolidated Appropriations Act, 2024, which included a 2.93 percent update to the CY 2024 Physician Fee Schedule (PFS) Conversion Factor (CF) for dates of service March 9 through December 31, 2024. This replaces the 1.25 percent update provided by the Consolidated Appropriations Act, 2023, therefore the CY 2024 CF for dates of service January 1 through March 8, 2024 is $32.74.
7. Comparative Analysis of Epidemiological Outcome of ... - MDPI
... (2023) [4], there was a global increase in the number of new cases and deaths due to COVID-19 until mid-January 2023, which is why they included it in the ...
At the beginning of December 2019, a new type of coronavirus emerged, SARS-CoV-2. This virus causes COVID-19, a highly contagious disease that can initially present asymptomatically and can also lead to death. Our ecological study goal was to evaluate the incidence, mortality, and lethality rates for COVID-19 between the states of Espírito Santo and Minas Gerais, with time series analysis using secondary and public databases on COVID-19 from January 2020 to December 2022. Prais–Winsten linear regression was used for trend analyses. In 2020, the rate in Espírito Santo was 2.19 times greater than in Minas Gerais. This trend continued in 2021, with Espírito Santo’s rate being 1.29 times greater. In 2022, Espírito Santo’s rate remained 2.65 times higher than Minas Gerais. Furthermore, Espírito Santo had the highest mortality, with the exception of 2021. In turn, Minas Gerais had the highest fatality rate throughout the analyzed pandemic period. The state of Espírito Santo had a higher incidence of COVID-19, as well as higher mortality when compared to the state of Minas Gerais. Furthermore, both states showed similar trends for mortality, lethality, and incidence in the years 2020 and 2021.
8. Bridging the Global Technology Gap in Neurosurgery: Disparit...
Postoperative imaging correlated with the findings observed through postdural closure ultrasound. Access to intraoperative technologies in LMICs. Cho, 2023 22 ...
nges in providing equitable neurosurgical care. The purpose of the following work was to comprehensively analyze the existing disparities in access to innovative neurosurgical technologies and the impact of such disparities on patient outcomes and research. We seek to shed light on the extent of the problem, the underlying causes, and propose strategies for mitigating these disparities. METHODS: A systematic review of published articles, including clinical studies, reports, and healthcare infrastructure assessments, was conducted to gather data on the availability and utilization of advanced neurosurgical technologies in various countries. RESULTS: Disparities in technology access in neurosurgery are evident, with high-income countries benefiting from widespread implementation, while low- and middle-income countries face significant challenges in technology adoption. These disparities contribute to variations in surgical outcomes and patient experiences. The root causes of these disparities encompass financial constraints, inadequate infrastructure, and insufficient training and expertise. CONCLUSION: Disparities in access to advanced neurosurgical technology remain a critical concern in global neurosurgery. Bridging this gap is essential to ensure that all patients, regardless of their geographic location, can benefit from the advancements in neurosurgical care. A concerted effort involving governments, healthcare institutions, and the international community...
