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Revolutionizing Veterinary Services: The Impact of Advanced Digital Technologies

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Digital Transformations and Implications for Veterinary Services: A Review of Advanced Technologies

Abstract

The rapid evolution in digital technologies over recent years has dramatically reshaped industries worldwide, particularly within the sectors of animal production, health, and welfare. provides an overview of several advanced technologies that could significantly influence the future of veterinary services. These are primarily data-driven innovations which we illustrate through three categories: wirelessmobile technology for animal health monitoring, disease surveillance, reporting and information sharing; advanced processing tools such as big data analytics used to detect patterns, make predictions, uncover correlations, among other insights; promising blockchn applications utilized for efficient supply chn management of various inputs. The paper also discusses current challenges in integrating these technologies into the animal health sector alongside their potential impacts on veterinary services.

The ongoing digital transformation is set to profoundly alter how animal health services are delivered and managed. It becomes critical for veterinary organizations to embrace this change actively, adapt swiftly, and invest in new technologies while ensuring their workforce acquires the necessary digital skills and knowledge to remn at the forefront of innovation in animal health.

In light of these advancements, the digital revolution will redefine service deliveryand management strategies within veterinary systems. Prioritizing investment in cutting-edge technologies coupled with continuous trning for both existing and future professionals will be imperative moving forward.

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The source materials listed at the contn references to other articles related to digital transformations in veterinary sciences, which might be useful for further research or as supplementary reading material for professionals involved in this field.
This article is reproduced from: https://pubmed.ncbi.nlm.nih.gov/34542102/

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