Digital Scribe
The aim of this research is to develop a digital scribe to take over many routine clinical documentation tasks using artificial intelligence (AI) to support clinical decision making. The digital scribe has the potential to enhance clinical encounters and emphasise patient care over documentation. Digital scribes are also likely to be the gateway in the clinical workflow for more advanced support for diagnostic, prognostic and therapeutic tasks.
Intelligent documentation support systems are an emerging class of technology and are in their infancy in medicine. Digital scribes raise a number of important issues for clinical practice. As with all information technology, digital scribes bring new patient safety risks, the potential for automation bias, the temptation to create more detailed records and a change in the nature of the record with significant medico-legal ramifications.
The focus of digital scribe research is to investigate the use of artificial intelligence (AI) using machine learning in three broad areas: physician-assisted documentation, automated documentation systems, and intelligent clinical environments
Designing Conversational Interfaces
The recent rapid developments in artificial intelligence have made it possible to develop conversational agents and chatbots supporting increasingly more engaging, usable, and reliable interactions between humans and technologies. There are already commercial products by the big corporations in the market such as Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, and Google’s Google Home. More technologies and applications using AI-enabled conversational interfaces will be developed in near future. There is a fertile ground to investigate how these emerging conversational technologies can support many practices of people in domestic and professional settings.
This project investigates:
• The mental models of consumers about the conversational agents
• Definitions of affordance, agency, automation, habitability, and user appropriation in conversational applications
• The dimensions of user/consumer experience of current conversational applications
• The evaluation of current conversational applications
• The use of different prototyping methods to design and develop conversational systems
• Accessibility and
Conversational Agents in Healthcare
This project focuses on specific characteristics and applications of conversational agents in clinical and community settings in healthcare. Our recent systematic review found that i) the conversational agents in healthcare appear to lag behind the development efforts taking place in other areas in terms of dialogue management and natural language generation; ii) no