CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.

Autor: Jackson R; Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigne Park, London, SE5 8AF, UK. richgjackson@gmail.com.; South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, UK. richgjackson@gmail.com., Kartoglu I; InterDigital Communications, 64 Great Eastern Street, 1st Floor, London, EC2A 3QR, UK., Stringer C; King's College Hospital, Denmark Hill, London, SE5 9RS, UK., Gorrell G; University of Sheffield, Western Bank, Sheffield, S10 2TN, UK., Roberts A; University of Sheffield, Western Bank, Sheffield, S10 2TN, UK., Song X; University of Sheffield, Western Bank, Sheffield, S10 2TN, UK., Wu H; Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigne Park, London, SE5 8AF, UK.; Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH16 4UX, UK., Agrawal A; King's College Hospital, Denmark Hill, London, SE5 9RS, UK., Lui K; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, WC1E 6BT, UK., Groza T; Garvan Institute of Medical Research, Sydney, NSW 2010, Australia., Lewsley D; King's College Hospital, Denmark Hill, London, SE5 9RS, UK., Northwood D; King's College Hospital, Denmark Hill, London, SE5 9RS, UK., Folarin A; Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigne Park, London, SE5 8AF, UK.; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, WC1E 6BT, UK., Stewart R; Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigne Park, London, SE5 8AF, UK.; South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, UK., Dobson R; Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigne Park, London, SE5 8AF, UK.; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, WC1E 6BT, UK.
Jazyk: angličtina
Zdroj: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2018 Jun 25; Vol. 18 (1), pp. 47. Date of Electronic Publication: 2018 Jun 25.
DOI: 10.1186/s12911-018-0623-9
Abstrakt: Background: Traditional health information systems are generally devised to support clinical data collection at the point of care. However, as the significance of the modern information economy expands in scope and permeates the healthcare domain, there is an increasing urgency for healthcare organisations to offer information systems that address the expectations of clinicians, researchers and the business intelligence community alike. Amongst other emergent requirements, the principal unmet need might be defined as the 3R principle (right data, right place, right time) to address deficiencies in organisational data flow while retaining the strict information governance policies that apply within the UK National Health Service (NHS). Here, we describe our work on creating and deploying a low cost structured and unstructured information retrieval and extraction architecture within King's College Hospital, the management of governance concerns and the associated use cases and cost saving opportunities that such components present.
Results: To date, our CogStack architecture has processed over 300 million lines of clinical data, making it available for internal service improvement projects at King's College London. On generated data designed to simulate real world clinical text, our de-identification algorithm achieved up to 94% precision and up to 96% recall.
Conclusion: We describe a toolkit which we feel is of huge value to the UK (and beyond) healthcare community. It is the only open source, easily deployable solution designed for the UK healthcare environment, in a landscape populated by expensive proprietary systems. Solutions such as these provide a crucial foundation for the genomic revolution in medicine.
Databáze: MEDLINE
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