
AI uses natural language processing to analyse unstructured healthcare records and convert them into structured data for clinical and policy decision-making.
Healthcare systems generate large volumes of unstructured data such as clinical notes, discharge summaries, laboratory reports, and medical prescriptions. Extracting useful insights from this data is challenging using traditional data analysis methods.
Artificial Intelligence techniques such as natural language processing (NLP) can analyse unstructured health records and convert them into structured datasets. This enables healthcare providers and policymakers to gain insights from previously inaccessible data.
For additional context and detailed documentation of this use case, please refer to pages 223-230 in the attached Casebook.
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