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A New Understanding of Unspoken Cues Between Dairy Farmers and Veterinarians Could Boost Rapport, Trust, and Herd Outcomes

Effective communication is an essential skill for dairy veterinarians, helping them translate clinical recommendations to their farmers, strengthen the farmer-veterinary relationship, and ultimately benefit the herd. However, less is known about the role of nonverbal communication—eye contact, body orientation, gestures, and more—for veterinarians working in dairy. In a recent study in the Journal of Dairy Science, published by Elsevier and FASS, Inc., researchers provide an essential first step toward measuring and understanding unspoken communication between dairy veterinarians and their farmers, paving the way for more effective on-farm conversations and improved outcomes.  

The study’s lead investigator, Fiona MacGillivray, MRCVS, of MacVet Cattle Communications Limited in Cheshire, United Kingdom, explained, “Human medicine and companion animal medicine studies have shown how nonverbal cues can build warmth, connection, and ultimately improve patient and client outcomes, but much less is known about them in the context of interactions on a dairy farm.”

MacGillivray and the study team analyzed video recordings of 11 routine dairy herd consultations made using GoPro cameras worn by the veterinarian, farmer, and an observer of their interactions. The recordings were then broken down and analyzed according to four different stages of the visit including the introduction, the fertility examination of the cow, discussion, and the closing.

Using this data, the study team developed a framework for coding and measuring different forms of nonverbal communication happening between veterinarian and farmer, from static attributes such as clothing worn and equipment used, to dynamic attributes such as distance, body orientation and lean, height differences, head and limb positioning, and gestures. Their study then presents results including trends observed, along with discussion on potential opportunities and barriers for unspoken communication during consultations.

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In this episode of The Swine it Podcast Show Canada, Swaminathan Jayaraman, Research Assistant and PhD Candidate at Iowa State University College of Veterinary Medicine, explains how integrated data systems can improve disease surveillance in swine production. He discusses combining diagnostics, animal movement data, production records, and spatial analytics to identify risks earlier and support proactive decision-making for PRRS, PED, and swine influenza. Listen now on all major platforms!

"Disease surveillance remains largely reactive because outbreaks are often confirmed only after transmission has already occurred across multiple connected production sites."

Meet the guest: Swaminathan Jayaraman / swamjay is a Graduate Research Assistant at Iowa State University College of Veterinary Medicine. With academic training in management information systems and engineering, he focuses on integrating diagnostic, production, and movement data to improve disease surveillance and decision support in swine production systems. Listen to Swaminathan Jayaraman on The Swine it Podcast Show Canada, available on all major platforms.