Using word clouds to Re‐envision letters of recommendation for residency applicants

Bayrak, Sinehan; Villwock, Jennifer A.; Villwock, Mark R.; Chiu, Alexander G.; Sykes, Kevin J.

doi:10.1002/lary.27613

Cited by 6 publications

(4 citation statements)

References 16 publications

(31 reference statements)

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“…A search of MEDLINE for “Wordcloud” or “Word Cloud,” including title and abstract screening, returned 53 articles (12 August 2019). Articles describe word cloud use to depict survey, workshop/forum, or medical literature data as well as other interesting applications to assist keyword identification for literature searches [ 24 , 25 ] and to evaluate reference letters for residency programs [ 26 ]. There are currently only two references to their use for stimulating ideas and both were deemed effective; first in palliative care, where word clouds were generated by a palliative patient and their family, to support positive memories during the bereavement process [ 27 ], and secondly, as part of an education initiative asking medical students to consider “What is professionalism?” [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial

Davies

Mowforth

Khan

et al. 2021

Trials

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Objectives AO Spine REsearch objectives and Common Data Elements for Degenerative Cervical Myelopathy [RECODE-DCM] is a multi-stakeholder consensus process aiming to promote research efficiency in DCM. It aims to establish the top 10 research uncertainties, through a James Lind Alliance Priority Setting Partnership [PSP]. Through a consensus process, research questions are generated and ranked. The inclusion of people with cervical myelopathy [PwCM] is central to the process. We hypothesized that presenting PwCM experience through word cloud generation would stimulate other key stakeholders to generate research questions better aligned with PwCM needs. This protocol outlines our plans to evaluate this as a nested methodological study within our PSP. Methods An online poll asked PwCM to submit and vote on words associated with aspects of DCM. After review, a refined word list was re-polled for voting and word submission. Word clouds were generated and an implementation plan for AO Spine RECODE-DCM PSP surveys was subsequently developed. Results Seventy-nine terms were submitted after the first poll. Eighty-seven refined words were then re-polled (which added a further 39 words). Four word clouds were generated under the categories of diagnosis, management, long-term effects, and other. A 1:1 block randomization protocol to assess word cloud impact on the number and relevance of PSP research questions was generated. Conclusions We have shown it is feasible to work with PwCM to generate a tool for the AO Spine RECODE-DCM nested methodological study. Once the survey stage is completed, we will be able to evaluate the impact of the word clouds. Further research will be needed to assess the value of any impact in terms of stimulating a more creative research agenda.

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Section: Discussionmentioning

confidence: 99%

The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial

Davies

Mowforth

Khan

et al. 2021

Trials

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“…The young generation of technology‐friendly millennial learners could relate better to WC linked learning tools. Recently, WC has been used to review letters of recommendation for residency applications with the use of visual letter of recommendation technique . WC as a tool for wider analysis of biological network systems for tag data interpretation ( tag cloud ) has also been reported, thus creating a visual semantic summary .…”

Section: Discussionmentioning

confidence: 99%

“…Recently, WC has been used to review letters of recommendation for residency applications with the use of visual letter of recommendation technique. 23 WC as a tool for wider analysis of biological network systems for tag data interpretation (tag cloud) has also been reported, thus creating a visual semantic summary. 24 Acquisition of SWS skills would also equip students to leverage social media to amplify messages write persuasively.…”

Section: Word Cloud Generator and Technical Aspectsmentioning

confidence: 99%

Word cloud analysis and single word summarisation as a new paediatric educational tool: Results of a neonatal application

Philip

2020

J Paediatrics Child Health

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Aims To analyse the value of computerised ‘word cloud’ (WC) generated from spontaneously articulated ‘single word summarisation’ (SWS) by medical students to assist their learning during the neonatal intensive care unit placement. To highlight WC as a potential new tool in paediatric teaching, improving student engagement and reflective feedback. Methods An observational study was conducted in the neonatal intensive care unit of University Maternity Hospital Limerick, Ireland for 5 years (October 2012 to September 2017). One faculty member prospectively recorded SWS in neonatology by graduate entry medical students. An online ‘WC generator’ under an open‐source licence was used to compute the WC. Hospital audit committee approved the study. Results A total of 268 SWS were recorded consecutively from 268 medical students towards the WC generation. Structured multi‐response student feedback showed SWS and WC as stimulating, unique and creative. Powerpoint presentation of the computed WC prompted students to reflect on their chosen words and that of peers. Conclusions Visualisation of medical student‐generated SWS as a WC could stimulate interaction, reflection and clinical discussion, thus assisting teachers to foster better student engagement. This innovative educational tool equips students to ‘convey more with fewer words’ and has the potential transferability to other clinical disciplines.

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“…107 Finally, one article endorsed visual letters of recommendation (eg, word clouds), utilizing terms from the SLOR to enhance review efficiency. 108 Reforms to the Interview Process Pre-Interview Screening: Thirteen articles proposed pre-interview screening via standardized video interviews, 66,69,88,109,110 preliminary videoconference or telephone interviews, 21,26,57,64,68,76,111 or regional interviews 29,112 prior to on-site interviews. Such screening practices enable early assessment of applicant/program compatibility and reduce the interview cohort size, delivering cost-savings to applicants and programs alike.…”

Section: Reforms To the Application Review Processmentioning

confidence: 99%

Systems-Level Reforms to the US Resident Selection Process: A Scoping Review

Zastrow

Burk-Rafel²,

London

2021

Journal of Graduate Medical Education

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Background Calls to reform the US resident selection process are growing, given increasing competition and inefficiencies of the current system. Though numerous reforms have been proposed, they have not been comprehensively cataloged. Objective This scoping review was conducted to characterize and categorize literature proposing systems-level reforms to the resident selection process. Methods Following Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines, searches of Embase, MEDLINE, Scopus, and Web of Science databases were performed for references published from January 2005 to February 2020. Articles were included if they proposed reforms that were applicable or generalizable to all applicants, medical schools, or residency programs. An inductive approach to qualitative content analysis was used to generate codes and higher-order categories. Results Of 10 407 unique references screened, 116 met our inclusion criteria. Qualitative analysis generated 34 codes that were grouped into 14 categories according to the broad stages of resident selection: application submission, application review, interviews, and the Match. The most commonly proposed reforms were implementation of an application cap (n = 28), creation of a standardized program database (n = 21), utilization of standardized letters of evaluation (n = 20), and pre-interview screening (n = 13). Conclusions This scoping review collated and categorized proposed reforms to the resident selection process, developing a common language and framework to facilitate national conversations and change.

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Using word clouds to Re‐envision letters of recommendation for residency applicants

Cited by 6 publications

References 16 publications

The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial

The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial

Word cloud analysis and single word summarisation as a new paediatric educational tool: Results of a neonatal application

Systems-Level Reforms to the US Resident Selection Process: A Scoping Review

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