Impact and deployment of data tools and workflows (5:13)

This video lesson will give you an understanding of:

• How data science insights and predictive models are translated into positive patient outcomes.

• The various methods for deploying models into real-world clinical settings, such as API integration, EHR embedding, and containerisation.

• The importance of continuous monitoring, retraining, and effective communication of results to drive operational change.

By the end of this video lesson, you will:

• Understand the practical pathways for integrating machine learning models into healthcare workflows.

• Recognise the necessity of ongoing model evaluation to maintain accuracy and fairness over time.

• Be inspired to continue learning and contributing to the rapidly evolving field of health data science.

For a transcript of this video lesson, click ‘download handout’ above Once you have completed the bite-sized video, please ensure you fill out our feedback survey which can be found at the end of the course page.