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Record W3138960080 · doi:10.4103/ija.ija_1039_20

Introduction of anaesthesia podcasts in our system - A pressing priority for the betterment of clinical practice

2021· article· en· W3138960080 on OpenAlexaboutno aff
Vasanth Sukumar

Bibliographic record

VenueIndian Journal of Anaesthesia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePopularityMedical educationAuditPanel discussionMultimediaComputer sciencePsychology

Abstract

fetched live from OpenAlex

Sir, Podcasts in medicine are valuable educational tools to aid in better clinical practice. Podcasts are digital audio files that give insight into various topics and are accessible through a Smartphone or a Computer. Anaesthesia podcasts will be fruitful in learning clinical updates, clarifying grey areas in the subject and getting to know what's new. Countries such as the United States, Canada have an anaesthesia podcast series that is running successfully. Podcasts can be didactic lectures, panel discussions and interesting case scenarios. In India, we lack anaesthesia podcasts which could serve as a learning platform for the anaesthesia postgraduates and the practising anesthesiologists as well. An audit among anaesthesia residents in India observed their interest in academic updates and learning recent advances.[1] Podcasts are a magnificent e-learning modality that can deliver the facts in a simple style. Audio podcasts are easy to produce and can be listened to while in a commute or during leisure activities. Standard textbooks in anaesthesia will need ample time for the next edition to get published; whereas, podcasts can convey the current evidence straightaway. A survey among anaesthesia residents had concluded that podcasts are a welcoming and preferable mode of learning among them.[2] International journals in anaesthesia publish an accompanying podcast with the editorial article or special articles.[3] In this technological era, any professional has got easy access to the web through the gadgets at any time. Podcasts have gained popularity among the anaesthesia residents as a sensible resource of knowledge. Postgraduates may find it handy to recap the topics before their exams while clinicians may refresh their knowledge before an unfamiliar case scenario. Any updates in the previous clinical podcasts can be addressed in the forthcoming ones. Various institutional protocols and knowledge of individual expertise can be shared nationwide through podcasts to help with clinical knowledge and tough clinical decisions. Daniel et al.[4] highlighted positive educational outcomes of podcasts with respect to impact on clinical practice, skill acquisition, knowledge and satisfaction. Self-assessment tests at the end of the podcasts will assist in conserving knowledge. Table 1 highlights the desirable features of a podcast.Table 1: Desirable features of a podcastThere are equivocal reviews about the production costs involved in a podcast. Nevertheless, the cost relies on hardwares, audio interface and the e-portals chosen to publish the podcast.[4] Ease of use, access at any time, unlike a webinar or Continuous Medical Education (CME) programme, downloadable option, cost-effectiveness and quality presentations will make podcasts a future boom. The moving trend towards digital education in the pushing times of the current pandemic will favour podcasts as a wonderful choice for anaesthesiologists. However, the challenge here is the quality of the podcast in all aspects. Lin and colleagues reported thirteen quality indicators for podcasts used in medical education with respect to credibility, content and design which could be considered in evaluating the quality of a podcast.[5] The criteria that is to be met for an expert peer reviewer is either an author of a published textbook, peer-reviewed article or a national speaker. Peer review can be done in the pre-release phase of the podcast.[6] The workflow of podcast production is represented in Figure 1.Figure 1: Workflow of Podcast ProductionThe educators could verify that the contents are evidence-based and peer review can be done by the expert reviewers before it is presented in the public forum. Quality of the podcast could be prioritised, based on content, evidence, concise presentation, clarity and being uncompounded. Indian Society of Anaesthesiologists (ISA) could address the initiation of anaesthesia podcast series for the benefit of anaesthesiologists and establishing better standards in clinical practice nationwide. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.445
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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