KWANG CHIEN YEE¹
1 University of Tasmania

With the widespread use of artificial intelligence, especially generative AI using large language model, such as ChatGPT, many assessment tasks are under spotlight. The use of essay and/or open book examinations become an issue as current plagiarism detection software cannot reliably detect the use of AI in assignment completion. 

The best assessment that will reliably as well as provide validity to practical skill assessment in medical education is via workplace, competency and/or skill assessments. These assessments take time, especially if this is being organised in a large group. Assessment by workplace supervisors, however face the issue of assessment standard, and the difficulties in monitoring student progress. 

Blockchain is a distributed ledger, which is being used in many industry. The use of blockchain in medical education assessment has rarely been considered. With the concept of workplace/competency/skill assessment, as well as the recent shift towards industry-acredited micro-credentialling process for higher education, blockchain technology could be a perfect fit to support continual-individualised assessment, while maintaining monitoring, controlled and standards 

This presentation will present the theory of blockchain in medical education and a model of how blockchain-based medical education assessment will work. One of the benefits of blockchain, is the use of smart-contract, which could provide feedback and/or direct further study. Furthermore, blockchain supported assessment will allow individualised, student- centred learning and assessment process. This presentation will discuss our framework and our model in using blockchain in medical education assessment how it will benefit the current teaching and learning environment. 

References (maximum three) 

Wong MC, Yee KC, Nøhr C.
 Socio-Technical Considerations for the Use of Blockchain Technology in Healthcare. Stud Health Technol Inform. 2018;247:636-640.