About HAVnet

The HAVnet project collaborators are creating a framework for an advanced network infrastructure for health education and medical research that will be generalizable in any field and suitable for use in the proposed National Health Information Infrastructure.

Such a network infrastructure requires a Core Middleware System that monitors and reports network conditions to network-aware applications that can self-scale and self-optimize based on network weather reports. This core system and applications are being built within the context of two medical education test beds:

Clinical Anatomy Testbed

The Clinical Anatomy Testbed builds on our work creating, networking, and teaching with image databases, including stereo images. The applications we are evaluating are image-intensive and serve many clients and require high bandwidth and low latency. More

Clinical Skills Testbed

Research at Stanford and elsewhere demonstrates that virtual reality training environments can be used for training students to probe and manipulate using instruments. Clinical skills such as probing, palpating, and dissecting are central to surgical training. More