Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals.

Autor:	Noor K; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom., Roguski L; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom., Bai X; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom., Handy A; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom., Klapaukh R; Health Data Research UK London, University College London, London, United Kingdom., Folarin A; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, King's College London, London, United Kingdom.; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom., Romao L; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom., Matteson J; Epic Systems Corporation, London, United Kingdom., Lea N; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom., Zhu L; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom., Asselbergs FW; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom., Wong WK; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom., Shah A; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom., Dobson RJ; University College London, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, University College London Hospitals National Health Service Foundation Trust, London, United Kingdom.; Health Data Research UK London, University College London, London, United Kingdom.; National Institute for Health and Care Research Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, King's College London, London, United Kingdom.; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Jazyk:	angličtina
Zdroj:	JMIR medical informatics [JMIR Med Inform] 2022 Aug 24; Vol. 10 (8), pp. e38122. Date of Electronic Publication: 2022 Aug 24.
DOI:	10.2196/38122
Abstrakt:	Background: As more health care organizations transition to using electronic health record (EHR) systems, it is important for these organizations to maximize the secondary use of their data to support service improvement and clinical research. These organizations will find it challenging to have systems capable of harnessing the unstructured data fields in the record (clinical notes, letters, etc) and more practically have such systems interact with all of the hospital data systems (legacy and current). Objective: We describe the deployment of the EHR interfacing information extraction and retrieval platform CogStack at University College London Hospitals (UCLH). Methods: At UCLH, we have deployed the CogStack platform, an information retrieval platform with natural language processing capabilities. The platform addresses the problem of data ingestion and harmonization from multiple data sources using the Apache NiFi module for managing complex data flows. The platform also facilitates the extraction of structured data from free-text records through use of the MedCAT natural language processing library. Finally, data science tools are made available to support data scientists and the development of downstream applications dependent upon data ingested and analyzed by CogStack. Results: The platform has been deployed at the hospital, and in particular, it has facilitated a number of research and service evaluation projects. To date, we have processed over 30 million records, and the insights produced from CogStack have informed a number of clinical research use cases at the hospital. Conclusions: The CogStack platform can be configured to handle the data ingestion and harmonization challenges faced by a hospital. More importantly, the platform enables the hospital to unlock important clinical information from the unstructured portion of the record using natural language processing technology. (©Kawsar Noor, Lukasz Roguski, Xi Bai, Alex Handy, Roman Klapaukh, Amos Folarin, Luis Romao, Joshua Matteson, Nathan Lea, Leilei Zhu, Folkert W Asselbergs, Wai Keong Wong, Anoop Shah, Richard JB Dobson. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 24.08.2022.)
Databáze:	MEDLINE
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