Duration
Evidence-based veterinary medicine I : 12h Th, 12h Mon. WS
Santé digitale appliquée à la médecine vétérinaire : 10h Th
Number of credits
| Bachelor in veterinary medicine | 4 crédits |
Lecturer
Evidence-based veterinary medicine I : Sandrina Vandenput
Santé digitale appliquée à la médecine vétérinaire : Giovanni Briganti, Allison Gilbert
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Santé digitale appliquée à la médecine vétérinaire
This part of the unit introduces digital health applied to veterinary medicine: digitisation of clinical records and data interoperability; veterinary telemedicine and its limitations; sensors and connected devices for individual monitoring and precision livestock farming; artificial intelligence applied to imaging and diagnostic decision support; the use of animal health data for epidemiological surveillance within a One Health perspective; and the applicable regulatory and ethical framework (data protection, medical devices, the European AI Act). Particular attention is given to the methodological quality of validation studies and to the practitioner's role in decisions supported by digital tools.
Learning outcomes of the learning unit
Santé digitale appliquée à la médecine vétérinaire
By the end of this part, students will be able to describe the main digital technologies used in veterinary medicine and how they work, identify the uses for which clinical benefit is documented, critically appraise the methodology and limitations of a validation study, situate a digital tool within the applicable European regulatory framework, and discuss the professional, ethical and relational implications of adopting such tools in practice.
Prerequisite knowledge and skills
Santé digitale appliquée à la médecine vétérinaire
none
Planned learning activities and teaching methods
Santé digitale appliquée à la médecine vétérinaire
Six hours of asynchronous online teaching on the Braintop platform, organised as modules combining short theoretical units, readings and self-correcting formative quizzes. Four hours of face-to-face teaching devoted to interactive sessions: case discussion, critical appraisal of articles, guided demonstration of tools, and follow-up on questions arising from the online modules.
Mode of delivery (face to face, distance learning, hybrid learning)
Santé digitale appliquée à la médecine vétérinaire
Blended learning
Course materials and recommended or required readings
Santé digitale appliquée à la médecine vétérinaire
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire )
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Santé digitale appliquée à la médecine vétérinaire
Prof. Giovanni Briganti (giovanni.briganti@uliege.be)
Dr. Allison Gilbert (allison.gilbert@uliege.be)