Stud Health Technol Inform
Horse Diagnosis and Triage Accuracy of GPT-4o. Animal owners may increasingly rely on large language models for gathering animal health information alongside internet sources in the future. This study therefore aims to provide initial results on the accuracy of ChatGPT-4o in triage and tentative diagnostics, using horses as a case study. Ten test vignettes were used to prompt situation assessments from the tool, which were then compared to original assessments made by a veterinary specialist for horses. The most probable diagnosis suggested by ChatGPT-4o was found to be quite accurate in most cases, with the urgency to contact a veterinari...
Designing an mHealth Application to Support Horse Owners in Assessing Their Horse’s Health Status – Results of a Usability Test. Existing research agrees that a well-thought design of the user interface is a key point for an mHealth application for animal owners, supporting them obtain information and make decisions regarding their pet's specific situation. However, there is currently a lack of specific advice on the design of such an application. Methods: As part of a user-centered design (UCD) process, a formative, explorative usability test with n = 5 users was conducted for collecting design ideas. The test was conducted for two applications that were already available on the market. Results: The need of supporting ...
User Drafts for the Design of an mHealth Application for Equestrians. A study was conducted to find out user ideas for the design and workflow of an mHealth application supporting triage of horses by equestrians. Results focus on information input elements and also include some requirements for information.
Analysis of the Usage Context of an mHealth Application for Equestrians. One possibility to support veterinarians in times of a vet shortage is by providing animal owners with a technical decision support for deciding whether their animal needs to be seen by a vet. As the first step in the user-centered development of such an mHealth application for equestrians, an analysis of the context of use was done. Methods: The analysis was carried out by reviewing existing literature and conducting an online survey with 100 participants. Results: Characteristics of the user group and the usage context are presented using an adaptation of the four layers of diversity. Many e...