Last week I presented my research work at the Karolinska Institute in Stockholm, were I am staying for 2 months to gather data with students testing my virtual patient.
I presented my work using 3 main points:
- Students want feedback in virtual patients.
They told us so when we talked with them during our previous virtual patient projects, and in a survey I conducted last year. In particular, the differential diagnosis is considered very useful, as well as directions about the appropriate questions to ask depending on the patient’s presentation.
- My job as a computer scientist is to create a model of virtual patients that can help generate that feedback.
- Semantic web technologies are a good choice for designing such a model.
I do apologize to all semantic web experts out, my description of the technology was very simplistic. Bear in mind, however, that the presentation was for medical educators, with no background in computer science.
The preceding presentations will help anyone starting to discover the world of virtual patients. To start with, Valerie Smothers, deputy director of the Johns Hopkins based Medbiquitous (http://medbiq.org), told us about the origin and aims of the Medbiquitous Consortium. In particular, she discusses the standards they are creating for curriculum design.
Then, Andrzej Kononowicz presents his initial work toward a VPH Education Engine. Virtual Physiological Humans are complex models of the human body. They rely on complex computer models and present very exciting potential in medical research. They can also be used as a foundation for the design of virtual patients, which is what Andrzej is currently working on.
My hope is that semantic annotations associated to these Virtual Humans could in fact allow us to automatically generate many different virtual patients, with elaborate automatic feedback.
Have a look at those presentations here: http://ki.se/ki/jsp/polopoly.jsp?d=14511&a=142968&l=en