Utilization of Social Media Platforms in Diagnostic Radiology Residency Programs in the United States

Title

Utilization of Social Media Platforms in Diagnostic Radiology Residency Programs in the United States

Creator

Arun Murugesan
Sahil Patel
Puneet Bhargava
Erin A Cooke

Date

2022

Description

Residency programs that effectively utilize social media (SoMe) have the potential to distinguish themselves and improve their resident recruitment. These platforms allow programs to connect with applicants they otherwise might have limited ability to reach before the interview season. We sought to evaluate the presence of SoMe across diagnostic radiology residency programs and highlight future trends that programs should account for. A list of diagnostic radiology residency programs within the United States was obtained from the American Medical Association (AMA) FREIDA Residency Database. A search for the presence of Twitter, Facebook, and Instagram was performed for each program. Based on the analysis, the most utilized SoMe platform by diagnostic radiology residency programs was Twitter (61.73%), followed by Instagram (47.45%), and then Facebook (37.76%). Given that Twitter was the most utilized, further analysis was done to evaluate the total number of followers and the year of account creation. The results showed that the average program had 1081 ± 1438 followers and the mean year of creation was 2017 ± 2.6 years. Social media is an effective tool to disseminate information efficiently and effectively to prospective residency candidates. It is important that those involved in radiology medical education stay up to date with current and future social media trends while maintaining an active professional presence on these platforms.

Source

Curr Probl Diagn Radiol
. 2023 Jan-Feb;52(1):41-44. doi: 10.1067/j.cpradiol.2022.07.002. Epub 2022 Jul 23.

Language

English

Tags

Citation

Arun Murugesan et al., “Utilization of Social Media Platforms in Diagnostic Radiology Residency Programs in the United States,” NEOMED Bibliography Database, accessed May 9, 2024, https://neomed.omeka.net/items/show/12195.