The purpose of this module is to upskill professionals who interact, manage, curate or analyse cancer electronic health data and/or are engaged in cancer real world evidence research. Real-world data describes health data, collected outside of randomised controlled trials typically as part of routine clinical practice. If analysed appropriately, real world data can generate real-world evidence, which can offer insights into disease and the benefits and risks of therapeutic interventions as observed in a real-life environment. This module describes the types of data in a cancer patient’s electronic health record and their secondary use in research.

 

Learning Outcomes

On successful completion of this module, students will be able to:

• Critically assess secondary use of cancer data for research.
• Evaluate existing and emerging international clinical data standards for secondary use and analysis of cancer data, the use of vocabularies, ontologies and organisations that govern data standards.
• Critically evaluate research use of cancer health data, differentiating data use in clinical practice, emerging cancer clinical trial designs, and real-world evidence research.
• Recommend strategies and best practices in secure sharing data for secondary analysis.
• Conduct a comprehensive review of emerging literature on the secondary use of cancer patient healthcare imaging, genetic or genomics data and write a report that communicates these data and interprets the findings.
• Display a professional commitment to ethical data practice.
• Demonstrate an appreciation of the pace of technological and computational research advances in cancer and gain an insight into the potential risks and benefits of federated data sharing and analysis.
• Present a patient record as it might be presented to a molecular tumour board.