EHR STAR: The State-Of-the-Art in Interactive EHR Visualization

被引:11
|
作者
Wang, Q. [1 ]
Laramee, R. S. [1 ]
机构
[1] Univ Nottingham, Sch Comp Sci, Nottingham, England
基金
英国工程与自然科学研究理事会;
关键词
visualization; interaction; interaction techniques; information visualization; electronic health records; visual analytics; HEALTH RECORD; VISUAL-ANALYTICS; INFORMATION VISUALIZATION; TEMPORAL DATA; SYSTEM; TOOL; SUPPORT; DESIGN; TIME; MAP;
D O I
10.1111/cgf.14424
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Since the inception of electronic health records (EHR) and population health records (PopHR), the volume of archived digital health records is growing rapidly. Large volumes of heterogeneous health records require advanced visualization and visual analytics systems to uncover valuable insight buried in complex databases. As a vibrant sub-field of information visualization and visual analytics, many interactive EHR and PopHR visualization (EHR Vis) systems have been proposed, developed, and evaluated by clinicians to support effective clinical analysis and decision making. We present the state-of-the-art (STAR) of EHR Vis literature and open access healthcare data sources and provide an up-to-date overview on this important topic. We identify trends and challenges in the field, introduce novel literature and data classifications, and incorporate a popular medical terminology standard called the Unified Medical Language System (UMLS). We provide a curated list of electronic and population healthcare data sources and open access datasets as a resource for potential researchers, in order to address one of the main challenges in this field. We classify the literature based on multidisciplinary research themes stemming from reoccurring topics. The survey provides a valuable overview of EHR Vis revealing both mature areas and potential future multidisciplinary research directions.
引用
收藏
页码:69 / 105
页数:37
相关论文
共 50 条
  • [1] Interactive visualization literacy: The state-of-the-art
    Firat, Elif E.
    Joshi, Alark
    Laramee, Robert S.
    [J]. INFORMATION VISUALIZATION, 2022, 21 (03) : 285 - 310
  • [2] SCIENTIFIC VISUALIZATION - THE STATE-OF-THE-ART
    EARNSHAW, R
    [J]. PHYSICS WORLD, 1993, 6 (09) : 48 - 51
  • [3] The State-of-the-Art of Set Visualization
    Alsallakh, Bilal
    Micallef, Luana
    Aigner, Wolfgang
    Hauser, Helwig
    Miksch, Silvia
    Rodgers, Peter
    [J]. COMPUTER GRAPHICS FORUM, 2016, 35 (01) : 234 - 260
  • [4] EHR USABILITY AND BARRIERS TO EFFICIENT INFORMATION GATHERING ON THE EHR IN THE PICU: CURRENT STATE
    Sinha, Amrita
    Tawfik, Daniel
    Steffen, Katherine
    [J]. CRITICAL CARE MEDICINE, 2022, 50 (01) : 640 - 640
  • [5] Saral Anuyojan: An Interactive Querying Interface for EHR
    Soni, Kanika
    Sachdeva, Shelly
    Goyal, Arpit
    Gupta, Aryan
    Bose, Divyanshu
    Bhalla, Subhash
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 13830 LNCS : 163 - 176
  • [6] Visualization of Medical Data Based on EHR Standards
    Kopanitsa, G.
    Hildebrand, C.
    Stausberg, J.
    Englmeier, K. H.
    [J]. METHODS OF INFORMATION IN MEDICINE, 2013, 52 (01) : 43 - 50
  • [7] Saral Anuyojan: An Interactive Querying Interface for EHR
    Soni, Kanika
    Sachdeva, Shelly
    Goyal, Arpit
    Gupta, Aryan
    Bose, Divyanshu
    Bhalla, Subhash
    [J]. BIG DATA ANALYTICS IN ASTRONOMY, SCIENCE, AND ENGINEERING, BDA 2022, 2023, 13830 : 163 - 176
  • [8] Analysis & Visualization of EHR Patient Portal Clickstream Data
    Mushtaq, Farhan
    Tulu, Bengisu
    Strong, Diane
    Johnson, Sharon
    Trudel, John
    Garber, Lawrence
    [J]. AMCIS 2015 PROCEEDINGS, 2015,
  • [9] State-of-the-art in data visualization for CFD problems
    Bondarev, A.
    Galaktionov, V.
    [J]. Scientific Visualization, 2013, 5 (04): : 18 - 30
  • [10] Interactive Multiobjective Optimization: A Review of the State-of-the-Art
    Xin, Bin
    Chen, Lu
    Chen, Jie
    Ishibuchi, Hisao
    Hirota, Kaoru
    Liu, Bo
    [J]. IEEE ACCESS, 2018, 6 : 41256 - 41279