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LetterVis: a letter-space view of clinic letters

Qiru Wang Orcid Logo, Bob Laramee Orcid Logo, Arron Lacey, Owen Pickrell Orcid Logo

The Visual Computer, Volume: 37, Issue: 9-11, Pages: 2643 - 2656

Swansea University Authors: Bob Laramee Orcid Logo, Arron Lacey, Owen Pickrell Orcid Logo

Abstract

The number of electronic health records (EHRs) collected by healthcare providers is growing at an unprecedented pace. Clinicians often compose detailed clinic letters to record as much essential information during consultations as they can. This increases the workload of analyzing these letters, per...

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Published in: The Visual Computer
ISSN: 0178-2789 1432-2315
Published: Springer Science and Business Media LLC 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa57136
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Abstract: The number of electronic health records (EHRs) collected by healthcare providers is growing at an unprecedented pace. Clinicians often compose detailed clinic letters to record as much essential information during consultations as they can. This increases the workload of analyzing these letters, performing individual and collective analysis, and clinical decision making. This paper presents a novel visualization tool, LetterVis, to support the analysis of clinic letters through advanced interactive visual designs and queries. We describe a letter-space that facilities the visual exploration of content and patterns inside a letter. Letters are processed using natural language processing techniques and explored in multiple linked interactive views providing different levels of abstraction. The tool includes customized visual designs and views for visualizing antiepileptic drugs (AEDs). We provide a range of filtering and selection options to assist pattern finding and outlier detection. We demonstrate LetterVis with three case studies using anonymized clinic letters, revealing insight that is normally either time-consuming or impossible to observe. Domain expert partners from EHR analysis review the software and are involved in every phase from the initial design to evaluation.
Keywords: Information Visualization; Electronic Health Records; Visual Analytics
College: Faculty of Medicine, Health and Life Sciences
Issue: 9-11
Start Page: 2643
End Page: 2656