Sanguine:用于患者血液管理的可视化分析

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2020-11-03 DOI:10.1177/14738716211028565
Haihan Lin, R. Metcalf, Jack T. Wilburn, A. Lex
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引用次数: 3

摘要

输血是外科和非手术环境中经常进行的医疗程序。虽然它通常是必要的,甚至是挽救生命的,但它已被确定为医院中使用最过度的程序之一。不必要的输血不仅浪费资源,而且可能对患者的预后有害。患者血液管理(PBM)是优化输血和相关结果的临床实践。本文介绍了输血数据及相关患者病历的可视化分析工具Sanguine。Sanguine的设计考虑了两个用户群体:监督整个机构血液管理实践的PBM专家和执行输血的临床医生。PBM专家使用Sanguine来探索和分析输血实践及其相关的医疗结果。他们可以比较单个外科医生,或者比较结果或时间段,例如在输血干预之前和之后。PBM专家然后整理和注释意见,与临床医生沟通,以改善他们的输血实践的目标。我们通过案例研究验证了Sanguine的效用和有效性。
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Sanguine: Visual analysis for patient blood management
Blood transfusion is a frequently performed medical procedure in surgical and nonsurgical contexts. Although it is often necessary or even life-saving, it has been identified as one of the most overused procedures in hospitals. Unnecessary transfusions not only waste resources but can also be detrimental to patient outcomes. Patient blood management (PBM) is the clinical practice of optimizing transfusions and associated outcomes. In this paper, we introduce Sanguine, a visual analysis tool for transfusion data and related patient medical records. Sanguine was designed with two user groups in mind: PBM experts who oversee blood management practices across an institution and clinicians performing transfusions. PBM experts use Sanguine to explore and analyze transfusion practices and their associated medical outcomes. They can compare individual surgeons, or compare outcomes or time periods, such as before and after an intervention regarding transfusion practices. PBM experts then curate and annotate views for communication with clinicians, with the goal of improving their transfusion practices. We validate the utility and effectiveness of Sanguine through case studies.
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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