This course aims to provide an overview of the benefits of veterinary physical therapy for animals' health and well-being. First, it introduces the fundamentals of veterinary physiotherapy and its ethical and legal framework. Next, you will learn about animal anatomy and physiology, including the skeletal and muscular systems that support the mobility of every pet and the role of the nervous, respiratory and cardiovascular systems.
The following section will discover critical aspects of assessing pets for physiotherapy. It covers the recognition of mobility and pain issues, explores the nuances of gait analysis in veterinary physiotherapy, and emphasises the significance of assessing the pet's medical history and lifestyle. Next, you will explore veterinary physiotherapy techniques, discover the art of conducting various motion exercises for pets, delve into the intricacies of manual therapy and massage, and comprehend their versatile applications.
The significance of tailored rehabilitation programs and exercises in veterinary physiotherapy is next covered. You will learn about specialised areas in veterinary physiotherapy and the utilisation of advanced therapies and techniques. The holistic approach to veterinary physiotherapy offers different benefits that focus on the overall well-being of animals, and you will explore it in detail. The final section will highlight educational pathways to becoming a certified veterinary physiotherapist in the UK.
Advantages and disadvantages
Advantages
Free to study, and short.
Completely free.
Self-paced: start any time.
Disadvantages
Certificates and diplomas are paid, and not widely recognised by employers.
Quality varies a lot between publishers; check the ratings.
The site shows many ads on the free plan.
Learners rate it 3.6 out of 5, lower than most.
Learning is free, but the certificate costs money.
Some points apply to every course of this kind; see how we rank.
Free to study
Free: Every module is free with an Alison account (with ads).
Certificate: Optional and paid: a digital or printed certificate or diploma.
Instructors: David Sontag, Peter Szolovits View the complete course: https://ocw.mit.edu/6-S897S19 Introduces students to machine learning in healthcare, the nature of clinical data, and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis…
Join Stanford professors Matt Lungren and Justin Norden as they explore the impacts and applications of AI in Healthcare. In conversations with top medical professionals, industry leaders, and academic experts, they draw upon their research to discuss common misconceptions, fears and exciting advan…