首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 31 毫秒
1.
TikTok is the fastest growing social media app in the world and is designed to be social and promote discovery. We have used various social media sites (i.e., Facebook, Twitter, YouTube, Instagram, and Pinterest) for radiology education for several years, and created a TikTok account in March 2020 (@CTisus) to determine its suitability for expanding our audience for radiology education. Since we create video content for our website and other social media outlets, we have posted those videos to TikTok, opting not to create anything specifically for TikTok. For the hashtag #radiology (which currently has 388.2 million views), we viewed the first 100 videos shown per TikTok's algorithm. About half the videos (n=46) were about radiology work life, including remarks by patients or basic information about becoming a radiology technologist. Twenty-four videos were radiology-related jokes. Seven videos showed radiology equipment, mainly how MRI scanners interact with metal. Ultimately, only eight were professional English-language videos pertaining to radiology education. Though the appeal of TikTok is clear based on popularity, potentially offensive, inappropriate, or irrelevant videos can appear. TikTok for radiology, then, should come with a disclaimer. But TikTok should not be summarily dismissed as a silly dancing app. Educators can reach a substantial audience, especially those in the earliest stages of their medical education. Though it is currently not the most suitable app for medical professionals, TikTok warrants consideration for use in radiology education as long as it is used with caution.  相似文献   

2.
ObjectiveTo provide an updated evaluation of radiology residency program websites in light of virtual interviewing during the COVID-19 pandemic and encourage programs to improve the quality of their online website presence.MethodsWe evaluated the websites of 197 US radiology residency programs between November and December 2021 for the presence or absence of 30 metrics. The metrics chosen are those considered important by applicants when choosing a program and have been used in other similar papers.ResultsOf the 197 programs, 192 (97.5%) had working websites. The average radiology residency website had 16 of 30 (54%) metrics listed on their websites. Five programs did not have accessible websites and were not included in the analysis. The most comprehensive website had 29 of 30 (97%) of metrics listed and the least comprehensive website had 2 of 30 (7%). There is a statistically significant difference in website comprehensiveness between top 20 and non–top 20 radiology program websites.ConclusionAlthough radiology residency program websites have generally become more comprehensive over time, there is still room for improvement, especially in times of virtual interviews when residency applicants are becoming more and more reliant on program websites to gain essential information about a program. Some key areas to include are diversity and inclusion initiatives, resident wellness, applicant information, program benefits, and showcase of people in the program.  相似文献   

3.
PurposeThis study assesses the prevalence of use of the most commonly used social media sites among private radiology groups (PRGs) and academic radiology departments (ARDs).MethodsThe 50 largest PRGs and the 50 ARDs with the highest level of funding from the National Institutes of Health were assessed for presence of a radiology-specific social media account on Facebook, Twitter, Instagram, Pinterest, YouTube, and LinkedIn. Measures of organizational activity and end-user activity were collected, including the number of posts and followers, as appropriate; between-group comparisons were performed.ResultsPRGs adopted Facebook 12 months earlier (P = .02) and Twitter 18 months earlier (P = .02) than did ARDs. A total of 76% of PRGs maintained ≥1 account on the social media sites included in the study, compared with 28% of ARDs (P < .0001). The prevalence of having an account on the social media sites for PRGs was: Facebook, 66%; LinkedIn, 56%; Twitter, 42%; YouTube, 20%; Pinterest, 4%; and Instagram, 2%. The prevalence of radiology-specific social media accounts for ARDs was: Facebook, 18%; LinkedIn, 0%; Twitter, 24%; YouTube, 6%; Pinterest, 0%; and Instagram, 0%. There was no significant difference between ARDs and PRGs in measures of end-user or organizational activity on Facebook or Twitter.ConclusionsUse of social media in health care is emerging as mainstream, with PRGs being early adopters of Facebook and Twitter in comparison with ARDs. Competitive environments and institutional policies may be strong factors that influence how social media is used by radiologists at the group and department levels.  相似文献   

4.
PurposeThe aim of this study was to evaluate use of the microblogging social network Twitter by academic radiology departments (ARDs) in the United States.MethodsTwitter was searched to identify all accounts corresponding with United States ARDs. All original tweets from identified accounts over a recent 3-month period (August to October 2014) were archived. Measures of account activity, as well as tweet and link content, were summarized.ResultsFifteen ARDs (8.2%) had Twitter accounts. Ten (5.5%) had “active” accounts, with ≥1 tweet over the 3-month period. Active accounts averaged 711 ± 925 followers (maximum, 2,885) and 61 ± 93 tweets (maximum, 260) during the period. Among 612 tweets from active accounts, content most commonly related to radiology-related education (138), dissemination of departmental research (102), general departmental or hospital promotional material (62), departmental awards or accomplishments (60), upcoming departmental lectures (59), other hospital-related news (55), medical advice or information for patients (38), local community events or news (29), social media and medicine (27), and new departmental or hospital hires or expansion (19). Eighty percent of tweets (490 of 612) included 315 unique external links. Most frequent categories of link sources were picture-, video-, and music-sharing websites (89); the ARD’s website or blog (83); peer-reviewed journal articles (40); the hospital’s or university’s website (34), the lay press (28), and Facebook (14).ConclusionsTwitter provides ARDs the opportunity to engage their own staff members, the radiology community, the department's hospital, and patients, through a broad array of content. ARDs frequently used Twitter for promotional and educational purposes. Because only a small fraction of ARDs actively use Twitter, more departments are encouraged to take advantage of this emerging communication tool.  相似文献   

5.
PurposeThe coronavirus disease 2019 (COVID-19) pandemic affected radiology practices in many ways. The aim of this survey was to estimate declines in imaging volumes and financial impact across different practice settings during April 2020.MethodsThe survey, comprising 48 questions, was conducted among members of the ACR and the Radiology Business Management Association during May 2020. Survey questions focused on practice demographics, volumes, financials, personnel and staff adjustments, and anticipation of recovery.ResultsDuring April 2020, nearly all radiology practices reported substantial (56.4%-63.7%) declines in imaging volumes, with outpatient imaging volumes most severely affected. Mean gross charges declined by 50.1% to 54.8% and collections declined by 46.4% to 53.9%. Percentage reductions did not correlate with practice size. The majority of respondents believed that volumes would recover but not entirely (62%-88%) and anticipated a short-term recovery, with a surge likely in the short term due to postponement of elective imaging (52%-64%). About 16% of respondents reported that radiologists in their practices tested positive for COVID-19. More than half (52.3%) reported that availability of personal protective equipment had become an issue or was inadequate. A majority (62.3%) reported that their practices had existing remote reading or teleradiology capabilities in place before the pandemic, and 22.3% developed such capabilities in response to the pandemic.ConclusionsRadiology practices across different settings experienced substantial declines in imaging volumes and collections during the initial wave of the COVID-19 pandemic in April 2020. Most are actively engaged in both short- and long-term operational adjustments.  相似文献   

6.
IntroductionThis study aimed to investigate the response of the radiology workforce to the impact of the coronavirus disease 2019 (COVID-19) pandemic on professional practice in India and eight other Middle Eastern and North African countries. It further investigated the levels of fear and anxiety among this workforce during the pandemic.MethodsA quantitative cross-sectional study was conducted using an online survey from 22 May-2 June 2020 among radiology workers employed during the COVID-19 pandemic. The survey collected information related to the following themes: (1) demographic characteristics, (2) the impact of COVID-19 on radiology practice, and (3) fear and (4) anxiety emanating from the global pandemic.ResultsWe received 903 responses. Fifty-eight percent had completed training on infection control required for handling COVID-19 patients. A large proportion (79.5%) of the respondents strongly agreed or agreed that personal protective equipment (PPE) was adequately available at work during the pandemic. The respondents reported experiences of work-related stress (42.9%), high COVID-19 fear score (83.3%) and anxiety (10%) during the study period.ConclusionThere was a perceived workload increase in general x-ray and Computed Tomography imaging procedures because they were the key modalities for the initial and follow-up investigations of COVID-19. However, there was adequate availability of PPE during the study period. Most radiology workers were afraid of being infected with the virus. Fear was predominant among workers younger than 30 years of age and also in temporary staff. Anxiety occurred completely independent of gender, age, experience, country, place of work, and work status.Implications for practiceIt is important to provide training and regular mental health support and evaluations for healthcare professionals, including radiology workers, during similar future pandemics.  相似文献   

7.
PurposeWhen prospective radiology residents decide where to apply to residency, many will use the Internet as a resource to garner information. Therefore, it is important for residency programs to produce and maintain an informative and comprehensive website. Here, we review 179 radiology residency program websites for 19 criteria including various aspects related to the residency application process, benefits, didactics, research, clinical training, and faculty leadership.MethodsWe evaluated 179 radiology residency program websites for the inclusion of 19 different criteria. Criteria for information not available directly on the website and links with no information were considered not present.ResultsOnly 12 of the 179 (6.7%) program websites had at least 80% of the 19 criteria. In addition, 41 programs (23%) had less than 50% of the criteria listed on their websites. Websites ranged from having 16% of the criteria to as much as 95%.ConclusionAlthough previous studies have shown that prospective radiology resident applicants are influenced by intangibles like current resident satisfaction and academic reputation, they have also shown that applicants are influenced by the educational curriculum, clinical training, program resources, research opportunities, and quality of faculty. Therefore, it is imperative to provide online resources for prospective candidates in an attempt for residency programs to remain competitive in recruiting high-quality US medical student graduates. These findings suggest there is room for improving the comprehensiveness of information provided on radiology residency program websites.  相似文献   

8.
9.
Technology has allowed for numerous innovations in radiology education. These include, but are not limited to audience response systems, online resources such as YouTube channels, and social media platforms like Twitter. Judicious use of these tools is necessary to best stimulate real-world practice in radiology to optimally educate radiology trainees.  相似文献   

10.
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.  相似文献   

11.
ObjectiveCoronavirus disease 2019 (COVID-19) vaccine mandates are being implemented in health systems across the United States, and the impact on the radiology department workforce and operations becuase of vaccine hesitancy among health care workers is currently unknown. This article discusses the potential impact of the COVID-19 vaccine mandate on a large multicenter radiology department as well as strategies to mitigate those effects.MethodsWeekly vaccine compliance data were obtained for employees across the entire health system from August 17, 2021, through September 13, 2021, and radiology department–specific data were extracted. Vaccine compliance data was mapped to specific radiology job titles and the five different hospital locations.ResultsA total of 6% of radiology department employees were not fully vaccine compliant by the initial deadline of September 10, 2021. MR technologists and radiology technology assistants had the highest initial rates of noncompliance of 37% and 38%, respectively. Vaccine noncompliance rates by the mandate deadline ranged from 0.5% to 7.0% at the five hospital sites. Only one hospital required a decrease in imaging hours of operation because of the vaccine mandate.ConclusionDespite initial concerns about the impact of vaccine mandate noncompliance on departmental operations, there was ultimately little effect because of improved vaccine compliance after the mandate. Understanding individual employee and locoregional differences in vaccine compliance can help leaders proactively develop mitigation strategies to manage this new challenge during the COVID-19 pandemic.  相似文献   

12.
《Radiologia》2022,64(1):3-10
ObjectivesTo describe the impact of the Covid-19 pandemic on the interventional radiology unit at our hospital in the first year of the pandemic.Material and methodsThis prospective observational study included 83 consecutive patients with confirmed SARS-CoV-2 infections who underwent an interventional radiology procedure in the period comprising March 13, 2020 through March 13, 2021. We describe the repercussions of the situation on the unit's total activity, as well as on its activity during the different phases of the pandemic.ResultsTechnical and clinical success were achieved in 96.43% and 82.14% of cases, respectively. During follow-up throughout the year, 68 patients remained alive and 15 died from their underlying disease. No complications related with interventional procedures occurred, and activity declined by only 12% in comparison with the same period in the previous year (2019-2020, without COVID). Similarly, the decrease in relative value units and radiology activity units was only 13% and 12%, respectively.ConclusionThe Covid-19 pandemic has been a challenge in our daily work, leading to an overall decrease in the number of procedures. Nevertheless, the interventional radiology unit has been actively involved in caring for Covid-19 patients, performing a wide variety of necessary procedures. Following a series of specific measures and protocols has enabled us to perform interventional radiology procedures safely during the pandemic.  相似文献   

13.
Rationale and ObjectivesDiagnostic radiology training programs are less diverse than graduating US medical school classes and the patient populations they serve. Inclusion of physicians who are underrepresented minorities in medicine (URMM) can strengthen the profession and help to meet the needs of an increasingly diverse population. Our Department of Radiology developed and implemented a plan to increase the number of URMMs in our residency applicant pool and residency training program.Materials and MethodsWe designed a recruitment strategy to diversify the radiology residency applicant pool. This included website development, advertising, early exposure opportunities, travel to predominantly minority institutions and national meetings, and mentoring URMM medical students. We implemented parallel activities to increase the number of URMMs in our residency program. These included holistic screening tools for residency application review, a diverse residency recruitment committee, a welcome environment for visiting candidates, and “Second Look Weekend” visits for talented candidates. Primary outcomes measured include change in percentages of URMM applicants in our applicant pool and URMM residents in our residency program.ResultsThe percentage of URMM radiology residency applicants increased from 7.5% (42 of 556) of the total applicant pool in the 2012 to 2013 recruitment year to 12.6% (98 of 777) in the 2017 to 2018 recruitment year (P = .001). URMM radiology residency representation increased from 0% (0 of 32) in the 2013 to 2014 academic year to 20% (6 of 30) in the 2018 to 2019 academic year (P = .01).ConclusionAn intentional, strategic diversity program can diversify an institution’s residency applicant pool and increase representation of URMMs in a diagnostic radiology residency program.  相似文献   

14.
PurposeThe aim of this study was to compare the volume of individuals who viewed online versions of research articles in 2 peer-reviewed radiology journals and a radiology blog promoted by social media.MethodsThe authors performed a retrospective study comparing online analytic logs of research articles in the American Journal of Neuroradiology (AJNR) and the American Journal of Roentgenology (AJR) and a blog posting on Radiopaedia.org from April 2013 to September 2014. All 3 articles addressed the topic of reporting incidental thyroid nodules detected on CT and MRI. The total page views for the research articles and the blog article were compared, and trends in page views were observed. Factors potentially affecting trends were an AJNR podcast and promotion of the blog article on the social media platforms Facebook, Tumblr, and Twitter to followers of Radiopaedia.org in February 2014 and August 2014.ResultsThe total numbers of page views during the study period were 2,421 for the AJNR article and 3,064 for the AJR article. The Radiopaedia.org blog received 32,675 page views, which was 13.6 and 10.7 times greater than AJNR and AJR page views, respectively, and 6.0 times greater than both journal articles combined. Months with activity above average for the blog and the AJNR article coincided with promotion by Radiopaedia.org on social media.ConclusionsDissemination of scientific material on a radiology blog promoted on social media can substantially augment the reach of more traditional publication venues. Although peer-reviewed publication remains the most widely accepted measure of academic productivity, researchers in radiology should not ignore opportunities for increasing the impact of research findings via social media.  相似文献   

15.
16.
The coronavirus disease 2019 (COVID-19) pandemic has reduced radiology volumes across the country as providers have decreased elective care to minimize the spread of infection and free up health care delivery system capacity. After the stay-at-home order was issued in our county, imaging volumes at our institution decreased to approximately 46% of baseline volumes, similar to the experience of other radiology practices. Given the substantial differences in severity and timing of the disease in different geographic regions, estimating resumption of radiology volumes will be one of the next major challenges for radiology practices. We hypothesize that there are six major variables that will likely predict radiology volumes: (1) severity of disease in the local region, including potential subsequent “waves” of infection; (2) lifting of government social distancing restrictions; (3) patient concern regarding risk of leaving home and entering imaging facilities; (4) management of pent-up demand for imaging delayed during the acute phase of the pandemic, including institutional capacity; (5) impact of the economic downturn on health insurance and ability to pay for imaging; and (6) radiology practice profile reflecting amount of elective imaging performed, including type of patients seen by the radiology practice such as emergency, inpatient, outpatient mix and subspecialty types. We encourage radiology practice leaders to use these and other relevant variables to plan for the coming weeks and to work collaboratively with local health system and governmental leaders to help ensure that needed patient care is restored as quickly as the environment will safely permit.  相似文献   

17.
The COVID-19 pandemic has disrupted standard hospital operations and diagnostic radiology resident education at academic medical centers across the country. Deferment of elective surgeries and procedures coupled with a shift of resources toward increased inpatient clinical needs for the care of COVID-19 patients has resulted in substantially decreased imaging examinations at many institutions. Additionally, both infection control and risk mitigation measures have resulted in minimal on-site staffing of both trainees and staff radiologists at many institutions. As a result, residents have been placed in nonstandard learning environments, including working from home, engaging in a virtual curriculum, and participating in training sessions in preparation for potential reassignment to other patient care settings. Typically, for residents to gain the necessary knowledge, skills, and experience to practice independently upon graduation, radiology training programs must provide an optimal balance between resident education and clinical obligations. We describe our experience adapting to the challenges in educational interruptions and clinical work reassignments of 41 interventional and diagnostic radiology residents at a large academic center. We highlight opportunities for collaboration and teamwork in creatively adjusting and planning for the short and long-term impact of the pandemic on resident education. This experience shows how the residency educational paradigm was shifted during a pandemic and can serve as a template to address future disruptions.  相似文献   

18.
BACKGROUND AND PURPOSE:The coronavirus disease 2019 (COVID-19) pandemic has led to decreases in neuroimaging volume. Our aim was to quantify the change in acute or subacute ischemic strokes detected on CT or MR imaging during the pandemic using natural language processing of radiology reports.MATERIALS AND METHODS:We retrospectively analyzed 32,555 radiology reports from brain CTs and MRIs from a comprehensive stroke center, performed from March 1 to April 30 each year from 2017 to 2020, involving 20,414 unique patients. To detect acute or subacute ischemic stroke in free-text reports, we trained a random forest natural language processing classifier using 1987 randomly sampled radiology reports with manual annotation. Natural language processing classifier generalizability was evaluated using 1974 imaging reports from an external dataset.RESULTS:The natural language processing classifier achieved a 5-fold cross-validation classification accuracy of 0.97 and an F1 score of 0.74, with a slight underestimation (−5%) of actual numbers of acute or subacute ischemic strokes in cross-validation. Importantly, cross-validation performance stratified by year was similar. Applying the classifier to the complete study cohort, we found an estimated 24% decrease in patients with acute or subacute ischemic strokes reported on CT or MR imaging from March to April 2020 compared with the average from those months in 2017–2019. Among patients with stroke-related order indications, the estimated proportion who underwent neuroimaging with acute or subacute ischemic stroke detection significantly increased from 16% during 2017–2019 to 21% in 2020 (P = .01). The natural language processing classifier performed worse on external data.CONCLUSIONS:Acute or subacute ischemic stroke cases detected by neuroimaging decreased during the COVID-19 pandemic, though a higher proportion of studies ordered for stroke were positive for acute or subacute ischemic strokes. Natural language processing approaches can help automatically track acute or subacute ischemic stroke numbers for epidemiologic studies, though local classifier training is important due to radiologist reporting style differences.

There is much concern regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on the quality of stroke care, including issues with hospital capacity, clinical resource re-allocation, and the safety of patients and clinicians.1,2 Previous reports have shown that there have been substantial decreases in stroke neuroimaging volume during the pandemic.3,4 In addition, acute ischemic infarcts have been found on neuroimaging studies in many hospitalized patients with COVID-19, though the causal relationship is unclear.5,6 Studies like these and other epidemiologic analyses usually rely on the creation of manually curated databases, in which identification of cases can be time-consuming and difficult to update in real-time. One way to facilitate such research is to use natural language processing (NLP), which has shown utility for automated analysis of radiology report data.7 NLP algorithms have been developed previously for the classification of neuroradiology reports for the presence of ischemic stroke findings and acute ischemic stroke subtypes.8,9 Thus, NLP has the potential to facilitate COVID-19 research.In this study, we developed an NLP machine learning model that classifies radiology reports for the presence or absence of acute or subacute ischemic stroke (ASIS), as opposed to chronic stroke. We used this model to quantify the change in ASIS detected on all CT or MR imaging studies performed at a large comprehensive stroke center during the COVID-19 pandemic in the United States. We also evaluated NLP model generalizability and different training strategies using a sample of radiology reports from a second stroke center.  相似文献   

19.
ObjectiveTwitter is one of the world's leading social media platforms, and the most popular such forum for medical professionals. We previously examined how Twitter is used in radiology and suggested methods of optimizing Twitter for radiology education. Here we address those in the radiology community who have not yet embraced Twitter or those who have just begun, offering insights or hacks to make the reader more comfortable with initiating or better leveraging a Twitter account to enhance their radiology work lives.Material and methodsWe analyzed our Twitter account (@ctisus), dedicated to radiology education and based in the Russell H. Morgan Department of Radiology and Radiological Science at Johns Hopkins Hospital, to ascertain how we could best use the platform for radiology education. We also used the healthcare social media monitoring website Symplur to track the use of 7 radiology-related hashtags from March 6 to April 4, 2021.ResultsOver the 30-day period, we found that #radiology was used 12,311 times; #RadRes (radiology residents) was used 7864 times; #IRad (interventional radiology) was used 6176 times; #FOAMrad (free and open access radiology education) was used 3661 times; #medicalimaging was used 3317 times; #RadTwitter (radiology Twitter) was used 942 times; and #RadEd (radiology education) was used 697 times. This collection of 7 keywords is among the most popularly used by the radiology community.ConclusionsOur experience suggests that the radiology community is on Twitter to enhance radiology education. Twitter may seem to be a daunting field of misinformation, but radiologists as well as radiology fellows and residents worldwide have found it to be a platform rich with information and opportunity. Twitter allows information and media to be sent instantly throughout the world. We encourage those in the radiology world not yet or barely using Twitter to get started or more involved in this useful and popular social media platform.  相似文献   

20.
PurposeIn recent years, there has been increased recognition of the benefits of teaching by active learning. However, there is a paucity of experimental studies utilizing active learning in undergraduate radiology rotations, which is traditionally a passive learning experience. We designed a new radiology rotation that integrated teaching by active learning. We prospectively examined the efficacy of this new rotation compared to our standard rotation in terms of students' radiological competency and attitudes toward radiology, as well as impact on departmental efficiency.MethodsThis was a prospective cohort study involving fourth year medical students completing a 1-week radiology rotation at our department between January and April 2018. One cohort completed a rotational model which incorporated active learning sessions (integrated cohort) while the remainder were taught using traditional passive learning methods (standard cohort). All participants completed a radiology examination before and after the rotation and were surveyed on their attitudes toward radiology.ResultsA total of 105 students enrolled in the study. The mean postrotation competency score obtained by the integrated cohort was significantly higher than that obtained by the standard cohort (82% vs 62%; P < 0.001). The integrated rotation freed up 7 hours of radiologists’ time per week. While the students completing the integrated rotation had a more positive perception of radiology, they were no more likely to express a desire to pursue a career in radiology.ConclusionsThe integration of active learning sessions into an undergraduate radiology rotation results in an improvement in students' postrotation radiological competency and attitudes toward radiology.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号