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Materials and Methods: VIEWER is open-source and extensible, using natural language processing and interactive visualization to support clinical information retrieval, analysis, and visualization at the point of care. Results: Interactive views of longitudinal patient data enabled improved task completion speed and performance versus standard systems. Conclusion: VIEWER enhances data accessibility and representation, supporting population health management and patient monitoring through collaborative refinement.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/viewer-an-extensible-visual-analytics-framework-for-enhancing-mental-healthcare/419128/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/viewer-an-extensible-visual-analytics-framework-for-enhancing-mental-healthcare/419128.png","ImageObject",300,407,{"name":92,"@type":93},"Putri","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-28",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is VIEWER and what problem does it target?","Question",{"text":112,"@type":113},"VIEWER is a visual analytics toolkit designed to improve how clinicians retrieve, analyze, and visualize clinical information. 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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.  \nResults: VIEWER provides interactive, problem-focused, and comprehensive views of longitudinal patient data (n ¼409 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.  \nConclusion: 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.  \nKey words: electronic health record; visual analytics; natural language processing; health informatics; mental health.  \nIntroduction  \nAs the volume of information in patient records continues to grow, clinicians face an overwhelming amount of complex raw data, which can exceed the capacity of human cognition to process without error.1 This issue of information overload has been widely noted across various care settings, including both primary and secondary care, which may result in diagnostic or treatment errors.2,3 Moreover,","cbCaifwa0CPdRQyK","https://ap.wps.com/l/cbCaifwa0CPdRQyK","pdf",2158914,16,"English","# Abstract\n## Objective\n## Materials and Methods\n## Results\n## Discussion\n## Conclusion\n# Introduction","[{\"question\":\"What is VIEWER and what problem does it target?\",\"answer\":\"VIEWER is a visual analytics toolkit designed to improve how clinicians retrieve, analyze, and visualize clinical information. It targets information overload and limited cognitive support from standard electronic health record views.\"},{\"question\":\"How does VIEWER work in clinical information retrieval and visualization?\",\"answer\":\"VIEWER uses natural language processing and interactive visualization to rapidly support clinical information retrieval, analysis, and visualization at the point of care.\"},{\"question\":\"What were the key results from deploying VIEWER?\",\"answer\":\"Deployment showed improved performance and task completion speed compared with the standard clinical information system. More than 1000 users and partners tested it, reporting high satisfaction and strong interest in daily use.\"}]","VIEWER - an extensible visual analytics framework for enhancing mental healthcare | PDF",1790615748]