School of Health – Virtual Worlds

Well the new semester starts soon. I will be doing more teaching in SL using Colin the virtual patient and his new heart and lung sounds which are embeded in his chest. This is controlled by the lecturer who can change the sounds – normal, aortic stenosis etc (great work Andy).

I will also be teaching history taking and look forward to welcoming new volunteers who let my students take their real life health history from the comfort of their homes.

This wil be the second round of my action research project. Data will be collected using student and lecturer diaries. Hope to present the results later in the year at a conference in the USA.

We are also working on a web interface which will allow us to add to the case based histories which will speak to our AIML bots and add any missing questions to the answers. This will help create and refine cases.

Well that’s me at the moment, catch you later, Kali/Evelyn

Accurate selection of exposure factors when x-raying patients is of vital importance to ensure repeat exposures are not required. Due to the use of ionising radiation it is not possible for students to currently practice giving people a range of exposures to see what effect manipulation of exposure factors would have. Experience is currently gained by working alongside clinicians in the clinical environment. Feedback from students currently suggests that selection of exposure factors is an area where they feel they have insufficient practical experience. Giving students a tool where they can practice cause and effect on images dependant on exposure factor selection would enable students to develop necessary practical skills in a safe way.

A virtual x-ray environment is currently under development on Second Life, the aim of which is to enable undergraduate diagnostic imaging students to manipulate exposure factors for a chosen patient and body part. The resultant image will be displayed thereby enabling the student to gain skills in choosing accurate exposure factors. The student will be able to visualise whether their selected exposure factors, variables being kV, mA, time and distance, would have resulted in the image being under-,correctly or over-exposed. It is hoped that over time students will be able to select from a range of options e.g. gender, age, body build, body part.

For more info leave a comment for Jan little aka Bod Mavendorf

This is Colin. He is a virtual patient Bot who can talk. He is used to help qualified nurses to take a diagnostic patient history. He also has embedded heart sounds in his chest. The students can click on his chest in the correct anatomical position to hear the heart sounds which link back to the history they have just taken. Keep your eyes peeled for a video demo of Colin Soon!

Regards Kali Pizzaro aka real Life Evelyn McElhinney Lecturer, Andy Whiteford Technician aka AndyW Blackburn