Module 2: Identifying Socio-technical Barriers to Machine Learning in Practice

Online Course • Health Data Research

About the CPD course

Health data tools do not exist in a vacuum but have to interact with the human beings doing the work. The success of these tools hinges on them being adopted by professionals in the workplace: and the factors which influence this adoption are called "socio-technical factors". In this module: we will explore a toolkit that captures the data landscape of an organisation: and identifies the socio-technical barriers when embedding new tools and systems in existing patient pathways.

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Health Data Research

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Health Data Research

Our vision is that every health and care interaction and research endeavour will be enhanced by access to large scale data and advanced analytics. By making health data available to researchers and innovators, we can better understand diseases and discover ways to prevent, treat and cure them.