Veterinary Evidence Student Awards - Discussion with the 2021 winners

Veterinary Evidence Student Awards - Discussion with the 2021 winners

Author: RCVS Knowledge December 13, 2021 Duration: 36:02
Kit Sturgess, the Editor-in-Chief of Veterinary Evidence, chatted to Alexandra Bartlett, Erina Leask, and Eleanor Best - the 2021 Veterinary Evidence Student Award first, second, and third place winners.  They chatted about their motivation to enter the competition, how they found the process, what they learnt from the experience, and why other students should apply for next year's competition.  The 2023 Veterinary Evidence Student Awards are open until 13th January 2023. Apply now.   Read the transcript.  

Tune in to RCVS Knowledge-Evidence-based Veterinary Medicine for thoughtful conversations that bridge the gap between published research and the daily realities of veterinary practice. This podcast, presented by RCVS Knowledge, delves into how the principles of evidence-based medicine can be directly applied to improve care for a wide range of animals, from family pets to livestock. Each episode features discussions with clinicians, researchers, and specialists who explore the practical interpretation of scientific studies, clinical guidelines, and systematic reviews. Listeners will gain insights into critically appraising new information, implementing proven techniques, and navigating the complexities of treatment decisions when definitive evidence is still emerging. Geared towards veterinary professionals and students, the content also resonates with dedicated pet owners in the science and family categories who seek a deeper understanding of animal health. The overall aim is to foster a culture of informed inquiry within the veterinary community, moving beyond tradition to prioritize the best available evidence for every patient. This series is an audio extension of a broader mission to advance the quality and consistency of care across the profession.
Author: Language: English Episodes: 100

RCVS Knowledge - Evidence-based Veterinary Medicine