Clinical findings in patients

These videos have been created to help develop your skills in examining patients and in particular focusing on how to adapt REMS when the examination is not normal, and to help you start to recognise common conditions.

Each video shows a patient being examined using the look, feel, move, function methodology to detect the key clinical signs and concludes with a summary of the findings.

Please use the videos alongside guided clinical teaching. It is only through real-life clinical practice that confidence in musculoskeletal clinical examination can be improved. A huge thank you to all the wonderful patients who took the time to work with us on these videos to help us achieve our aim of improving the standard of care provided to patients with musculoskeletal conditions.

This video takes you through the examination of a patient with ankylosing spondylitis using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.

This video takes you through the examination of a patient with rheumatoid arthritis of the hands using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.

This video takes you through the examination of a patient with inflammatory arthritis of the feet using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.

This video takes you through the examination of a patient with osteoarthritis of the hands using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.

This video takes you through the examination of a patient with a knee effusion using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.

This video takes you through the examination of a patient with scleroderma using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.

This video takes you through the examination of a patient with osteoarthritis of the knee using the look, feel, move, function methodology to detect key clinical signs and make a diagnosis.