Semi-Automated Risk Assessment of Data Provenance and Clinical Free-text in TREs

点击翻译按钮获取中文摘要

Data is transforming health and social care, enabling life-changing discoveries, advancing healthcare services, and improving lives. Yet health data providers face challenges in extracting and linking this complex data and safeguarding its safe release for research. Risk assessments are key to ensure that data releases do not pose privacy risks, such as containing identifiable patient information or that patients’ records are processed correctly. However, currently these governance processes are ad-hoc, manual, time consuming and may prohibit data release, ultimately limiting new health and social care innovation.This project will focus on delivering semi-automated tools to improve two areas of risk assessment and monitoring: Data provenance, improving trustworthiness of data ingestion, processing and linking, making sure it is compliant for research; and Privacy assessment, minimising the risk of identifiable information in clinical free-text records (e.g. GP letters, discharge summaries). Public involvement and engagement are central to our project, ensuring risks are properly identified and addressed, and our methods are transparent and understandable.Our collaborative approach will produce an implementable toolkit for all health data providers across the UK. This project offers significant benefits for data audit and release, improving consistency between organisations, access time for researchers and promoting access to data that has not been feasible before.