Our vision is that every educator and every student, wherever they are, will have access to the best biomedical education.
The BEST Network began as a government funded $4.5M project in 2012 to establish a network of leading biomedical schools and peak industry bodies set to revolutionise biomedical education by addressing a critical need in biomedical education world-wide: the need for easy sharing of knowledge, expertise and technologies.
The BEST Network’s Founding Members established the Network as a not-for-profit venture in 2014, with UNSW as the Administering Organisation. As a not-for-profit, BEST Network membership fees cover running costs of the network with the remainder used for further improvement of the Network’s shared resources.
The Network hosted a Community Summit in 2015, which brought together top healthcare professionals and experts from around Australia, all looking to advance healthcare education through collaboration and the use of innovative education technologies.
In 2017, the BEST Network was honoured to receive the BHERT Award for Outstanding Collaboration in Higher Education Training. The award recognised the collaboration fostered between Higher Education institutions and Smart Sparrow, along with its achievements in distributing education and skills training across numerous higher education institutions (see here for more details).
In late 2020, OpenLearning Limited was welcomed as the operating and technology partner of the BEST Network. OpenLearning plans to focus its efforts on expanding the capability of Slice to solidify its position as the world’s leading tool for teaching with biomedical images.
Biomedical educators from 495 schools
Medical Images shared, with 200,000+ shared annotations
Students joined as BEST students
Annotations created on Slice images
Click here to submit a contact request.
Project Manager, School of Medical Sciences, BEST Network
The University of New South Wales, Sydney NSW 2052
Found8 KL Sentral, 5, East Wing, Level 3, Jalan Stesen Sentral, KL Sentral, 50470 Kuala Lumpur