‘Trending’ doctors’ notes using CogStack could help hospitals predict COVID-19 surges

A recent study, published 24 February in Nature Digital Medicine, found that ‘natural language processing’ (NLP) of information routinely recorded by doctors – as part of patients’ electronic health records – reveal vital trends that could help clinical teams forecast and plan for surges in patients.

The researchers from King’s College London, King’s College Hospital NHS Foundation Trust (KCH), and Guy’s and St Thomas’ Hospital NHS Foundation Trust (GSTT), used NLP algorithms to translate the electronic notes made by doctors into a standardised, structured set of medical terms that could be analysed by a computer.

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Photo credit: HDR UK.