Special Focus Session
SF 19 - Big data use and governance: top tips for radiographers
Lectures
SF 19 - What can big data tell us about our clinical services? Leveraging data from the Scottish National PACS
15:44J. McConnell, Glasgow / UK
Learning Objectives
1. To understand the types of data and data assimilations undertaken.
2. To become familiar with the analysis processes.
3. To consolidate knowledge about the outcomes and impact of big data analysis.
4. To learn how radiographers can get involved with similar initiatives.
SF 19 - How do you manage and protect all that data? Learning from multicentre studies
13:35M. McEntee, Cork / IE
Learning Objectives
1. To understand data protection principles, data security, and encryption.
2. To appreciate the processes for data sharing
3. To learn about the communication between systems when a patient opts-out of data sharing.
SF 19 - Artificial intelligence (AI): data-driven decision making in imaging
15:05R. Decoster, Brussels / BE
Learning Objectives
1. To learn about the applications of AI for radiography.
2. To become familiar with the data-driven decisions.
3. To consolidate knowledge about ethics ad responsibilities for AI decision-making.
4. To understand the potential augmentation of the radiographer’s role.
2. To become familiar with the analysis processes.
3. To consolidate knowledge about the outcomes and impact of big data analysis.
4. To learn how radiographers can get involved with similar initiatives.
2. To appreciate the processes for data sharing
3. To learn about the communication between systems when a patient opts-out of data sharing.
2. To become familiar with the data-driven decisions.
3. To consolidate knowledge about ethics ad responsibilities for AI decision-making.
4. To understand the potential augmentation of the radiographer’s role.