Description
The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort.
Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.
Author's/Editor's Biography
Thomas Connolly (Ed.)
Prof. Thomas M. Connolly spent 15 years in the software industry as a manager at Logica and a Director at SEMA. He has been a professor for the last 30 years. He developed the first commercial relational database system in the world and went on to write the bestselling textbook Database Systems that has sold more than 2 million copies. He became Head of Computing and Information Systems at the University of Paisley (now University of the West of Scotland) and then Head of the Creative Technologies department. He led the computing research submission for both REF2008 and REF2014. In terms of research and commercialization, Professor Connolly was Director of the Institute for Creative Technologies and Applied Computing (ICTAC), Director of the Clinical Decision Support Research Institute and Director of the Scottish Centre for Enabling Technologies (SCET). Professor Connolly has 25 PhD completions and over 300 peer-reviewed publications. He is editor of the International Journal of Virtual and Personal Learning Environments (IJVPLE) and peer reviews for many prestigious journals. In the last 15 years, he has completed over 650 national and international research and commercial projects.
Petros Papadopoulos (Ed.)
Prof. Petros Papadopoulos is an enthusiastic and highly motivated researcher in the field of self-organising large distributed autonomous systems. He is passionate in innovation, usually through the mixture of existing and new technologies and/or methodologies, agile and aligned to business and user requirements. In 2007, Prof. Papadopoulos received a full scholarship to complete a PhD in the field of self-organising systems. In the last few years, he has had the opportunity to work hard in a diverse range of cross-disciplinary projects that helped him further develop a wide range of skills to achieve his career goals and aspirations.
Mario Soflano (Ed.)
Prof. Mario Soflano is a lecturer in Applied Computer Games department at The School of Computing, Engineering and Built Environment at GCU. Prior to the current position, he was a lecturer in Computer Games programmes at University of the West of Scotland. Additionally, he was involved in a number of collaborative projects in Serious Games for professional trainings and in adaptive systems to improve operational process for SME clients. He was also involved in projects for public sectors such as Glasgow City Council, Scottish Social Service Council and NHS. His research interests include 1) Serious Games to teach hard skills in various subject areas, such as STEM, Software Engineering, Languages and Health, and also to enhance soft skills such as motivations, leadership and teamwork / collaboration, 2) Data analysis and Visualisation for Serious Games, eLearning, eCommerce and Software Engineering, 3) Immersive technology and 4) Clinical Decision Support particularly in the use of Machine Learning.