Duration
Evidence-based veterinary medicine I : 12h Th, 12h Mon. WS
Digital health applied to veterinary medicine : 10h Th
Number of credits
| Bachelor in veterinary medicine | 4 crédits |
Lecturer
Evidence-based veterinary medicine I : Sandrina Vandenput
Digital health applied to veterinary medicine : 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
Evidence-based veterinary medicine I
This theoretical and practical course provides an introduction to Evidence-Based Veterinary Medicine (EBVM), whose initial steps directly draw on scientific information literacy skills.
It highlights the role of scientific information in veterinary education and practice and introduces the main steps involved in converting the need for information into an answerable question, searching for and accessing scientific information, organising it, and using it in a relevant and responsible manner.
The course combines theoretical input with practical exercises to support the progressive application of the concepts and methods covered. It adopts an integrated teaching approach combining theoretical input, demonstrations and guided exercises. Throughout the sessions, students are progressively introduced to:
- Introduction to EBVM and the scientific information landscape: overview of the EBVM approach and the main sources of scientific information;
- Scientific communication and research integrity: structure of the scientific article, the publication and peer-review process, research integrity, citation of sources, and the responsible use of artificial intelligence in information searching and scientific writing;
- Scientific information search strategy (Step 1 of EBVM): from formulating a question to developing an effective search strategy;
- Access to information (Step 2 of EBVM): introduction to the available library tools and services;
- Reference management: introduction to Zotero for organising sources and managing bibliographic references.
Digital health applied to veterinary medicine
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
Evidence-based veterinary medicine I
By the end of this course, students will be able to:
- understand how scientific information contributes to their studies and future professional practice;
- understand the structure of a scientific article and the main stages of the scientific publishing process;
- formulate a research question and develop an appropriate information search strategy;
- independently use the main information and library tools available to them, including the ULiège catalogue, PubMed and CAB Abstracts, in order to access relevant scientific documents;
- become familiar with the fundamental principles of research integrity and scientific communication, including the peer-review process, the main issues and questionable practices associated with scientific publishing, plagiarism, citation of sources and good practices;
- organise and manage sources and bibliographic references using reference management software, and cite them correctly in accordance with applicable standards;
- use artificial intelligence tools responsibly in scientific information searching and scientific writing.
Digital health applied to veterinary medicine
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
Evidence-based veterinary medicine I
No prerequisites are required.
However, familiarity with using a computer and a basic understanding of scientific English would be advantageous.
Active participation in the practical activities requires students to have access, during class sessions, to a computer or tablet with an Internet connection.
Digital health applied to veterinary medicine
none
Planned learning activities and teaching methods
Evidence-based veterinary medicine I
Face-to-face sessions will combine theoretical input with practical activities. This format is designed to support the immediate application of the concepts covered and to encourage the active participation of all students. Ideally, students should have access to a laptop or tablet with an Internet connection to participate fully in the practical activities.
Additional tutorials will also be available on eCampus to help students become familiar with some of the tools used in the course.
Further information about the practical arrangements for the course will be provided during the first session.
Digital health applied to veterinary medicine
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)
Evidence-based veterinary medicine I
Face-to-face course
Digital health applied to veterinary medicine
Blended learning
Course materials and recommended or required readings
Evidence-based veterinary medicine I
Platform(s) used for course materials:
- eCampus
Assessment methods and criteria
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Further information:
Additional Information
The marks obtained for each of the two partims are combined into a single mark for the purpose of the final assessment, according to the following weighting: Evidence-Based Veterinary Medicine I (75%) and Digital Health Applied to Veterinary Medicine (25%).
The final mark for course VETE3024 is the weighted average of the marks obtained in each of the two learning activities (partims).
The course is passed if both of the following conditions are met:
- neither of the marks obtained for the two partims is equal to or below 8.0/20;
- the weighted average of the two partims is equal to or above 10.0/20.
During the second examination session, students are required to retake only the partim(s) for which they obtained a mark below 10.0/20. Any partim for which a mark of at least 10.0/20 has been obtained is considered passed and may not be retaken.
If the course is not passed after the second examination session, partial exemptions corresponding to any partim for which a mark equal to or above 10.0/20 has been obtained are automatically carried over to the following academic year.
Evidence-based veterinary medicine I
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Digital health applied to veterinary medicine
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
Evidence-based veterinary medicine I
Ms Sandrina Vandenput, DVM, PhD
ULiège Library | Health Sciences & ULiège Library | Médecine vétérinaire
Email : S.Vandenput@uliege.be
Please always use your ULiège email address when sending emails and mention the course code (VETE3024) in the email object field.
Digital health applied to veterinary medicine
Prof. Giovanni Briganti (giovanni.briganti@uliege.be)
Dr. Allison Gilbert (allison.gilbert@uliege.be)