• VIEWER: an extensible visual a...

Treffer: VIEWER: an extensible visual analytics framework for enhancing mental healthcare.

Title:
VIEWER: an extensible visual analytics framework for enhancing mental healthcare.
Authors:
Wang T; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom., Codling D; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Msosa YJ; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom., Broadbent M; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Kornblum D; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Polling C; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom.; Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom., Searle T; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom., Delaney-Pope C; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Arroyo B; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., MacLellan S; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Keddie Z; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Docherty M; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom., Roberts A; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom., Stewart R; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom.; Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom., McGuire P; Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom., Dobson R; Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom.; Institute of Health Informatics, University College London, London NW1 2DA, United Kingdom.; Health Data Research United Kingdom, London NW1 2BE, United Kingdom., Harland R; South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom.
Source:
Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 Jan 01; Vol. 33 (1), pp. 144-158.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Imprint Name(s):
Publication: 2015- : Oxford : Oxford University Press
Original Publication: Philadelphia, PA : Hanley & Belfus, c1993-
MeSH Terms:
Electronic Health Records* , Natural Language Processing* , Mental Health Services* , User-Computer Interface* , Software* , Data Visualization*, Humans ; United Kingdom ; Proof of Concept Study ; Information Storage and Retrieval
References:
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Grant Information:
Maudsley Charity; National Institute for Health Research; Biomedical Research Centre; South London and Maudsley NHS Foundation Trust; King's College London; Health Data Research UK; UK Medical Research Council; Engineering and Physical Sciences Research Council; Economic and Social Research Council; Department of Health and Social Care; Chief Scientist Office of the Scottish Government Health and Social Care Directorates; Health and Social Care Research and Development Division; Public Health Agency; United Kingdom BHF_ British Heart Foundation; United Kingdom WT_ Wellcome Trust; Innovative Medicines Initiative-2; European Union's Horizon 2020; The National Institute for Health Research; NHS Foundation Trust; NIHR Senior Investigator Award; Applied Research Collaboration South London; MR/W014386 Mental Health Data Hub; Early Career Research Award from the Institute of Psychiatry, Psychology & Neuroscience
Contributed Indexing:
Keywords: electronic health record; health informatics; mental health; natural language processing; visual analytics
Entry Date(s):
Date Created: 20250123 Date Completed: 20260102 Latest Revision: 20260104
Update Code:
20260104
PubMed Central ID:
PMC12758470
DOI:
10.1093/jamia/ocaf010
PMID:
39847478
Database:
MEDLINE

Weitere Informationen

Objective: A proof-of-concept study aimed at designing and implementing Visual & Interactive Engagement With Electronic Records (VIEWER), a versatile toolkit for visual analytics of clinical data, and systematically evaluating its effectiveness across various clinical applications while gathering feedback for iterative improvements.
Materials and Methods: VIEWER is an open-source and extensible toolkit that employs natural language processing and interactive visualization techniques to facilitate the rapid design, development, and deployment of clinical information retrieval, analysis, and visualization at the point of care. Through an iterative and collaborative participatory design approach, VIEWER was designed and implemented in one of the United Kingdom's largest National Health Services mental health Trusts, where its clinical utility and effectiveness were assessed using both quantitative and qualitative methods.
Results: VIEWER provides interactive, problem-focused, and comprehensive views of longitudinal patient data (n = 409 870) from a combination of structured clinical data and unstructured clinical notes. Despite a relatively short adoption period and users' initial unfamiliarity, VIEWER significantly improved performance and task completion speed compared to the standard clinical information system. More than 1000 users and partners in the hospital tested and used VIEWER, reporting high satisfaction and expressed strong interest in incorporating VIEWER into their daily practice.
Discussion: VIEWER provides a cost-effective enhancement to the functionalities of standard clinical information systems, with evaluation offering valuable feedback for future improvements.
Conclusion: VIEWER was developed to improve data accessibility and representation across various aspects of healthcare delivery, including population health management and patient monitoring. The deployment of VIEWER highlights the benefits of collaborative refinement in optimizing health informatics solutions for enhanced patient care.
(© The Author(s) 2025. Published by Oxford University Press on behalf of the American Medical Informatics Association.)