Enhancing the collection of treatment outcomes data through CaNISC

Multiple datasets have been created to capture cancer treatment outcomes data in the CaNISC system, however they have all failed to be taken up and used. This book documents a project combining action research methods used successfully in education to capture assessment data with an agile prototyping methodology to enable the clinicians to design a system to support them in collecting data in a way that is both useful and time manageable. As more and more clinical datasets are being created at a management level as well as required to study success rates of treatments it is vital that clinicians buy into the collection. This project demonstrates one method that worked, and offers a suggestion for how others can repeat that success.

Autorentext

Kevin first worked as a teacher, and became interested in data management while assisting departments in tailoring their assessment strategies to comply with new assessment policies. This interest led to a move into Computer Science, medical data collection and patient education. Kevin is married to Heather, and has two children, Sam and Issy.