research-article

Visual information seeking in multiple electronic health records: design recommendations and a process model

Authors:

Taowei David Wang,

Krist Wongsuphasawat,

Catherine Plaisant,

Ben ShneidermanAuthors Info & Claims

IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

Pages 46 - 55

https://doi.org/10.1145/1882992.1883001

Published: 11 November 2010 Publication History

Abstract

Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2,[22] our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into an information-seeking process model for multiple EHRs. Based on our analysis, we make recommendations to future information visualization designers for EHRs on design requirements and future research directions.

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Cited By

Ramalho BGama SNunes F(2023)Patient Dashboards of Electronic Health Record Data to Support Clinical Care: A Systematic Review2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)10.1109/ICHI57859.2023.00060(407-419)Online publication date: 26-Jun-2023
https://doi.org/10.1109/ICHI57859.2023.00060
Sharma VStranieri ABurstein FWarren JFirmin S(2020)Gestalt Based Evaluation of Health Information Diagrams2020 24th International Conference Information Visualisation (IV)10.1109/IV51561.2020.00040(195-201)Online publication date: Sep-2020
https://doi.org/10.1109/IV51561.2020.00040
Silva LAranha RRibeiro MNakamura RNunes F(2020)Exploring Visual Attention and Machine Learning in 3D Visualization of Medical Temporal Data2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)10.1109/CBMS49503.2020.00035(146-151)Online publication date: Jul-2020
https://doi.org/10.1109/CBMS49503.2020.00035
Show More Cited By

Index Terms

Visual information seeking in multiple electronic health records: design recommendations and a process model
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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Published In

cover image ACM Other conferences

IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

November 2010

886 pages

ISBN:9781450300308

DOI:10.1145/1882992

Editor:
Tiffany Veinot
University of Michigan, USA
,
General Chairs:
Ümit V. Çatalyürek
The Ohio State University, USA
,
Gang Luo
IBM Research, USA
,
Program Chairs:
Henrique Andrade
Goldman Sachs, USA
,
Neil R. Smalheiser
University of Illinois, Chicago, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGHIT: ACM Special Interest Group on Health Informatics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2010

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IHI '10

IHI '10: ACM International Health Informatics Symposium

November 11 - 12, 2010

Virginia, Arlington, USA

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Cited By

Ramalho BGama SNunes F(2023)Patient Dashboards of Electronic Health Record Data to Support Clinical Care: A Systematic Review2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)10.1109/ICHI57859.2023.00060(407-419)Online publication date: 26-Jun-2023
https://doi.org/10.1109/ICHI57859.2023.00060
Sharma VStranieri ABurstein FWarren JFirmin S(2020)Gestalt Based Evaluation of Health Information Diagrams2020 24th International Conference Information Visualisation (IV)10.1109/IV51561.2020.00040(195-201)Online publication date: Sep-2020
https://doi.org/10.1109/IV51561.2020.00040
Silva LAranha RRibeiro MNakamura RNunes F(2020)Exploring Visual Attention and Machine Learning in 3D Visualization of Medical Temporal Data2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)10.1109/CBMS49503.2020.00035(146-151)Online publication date: Jul-2020
https://doi.org/10.1109/CBMS49503.2020.00035
Luo GStone BKoebnick CHe SAu DSheng XMurtaugh MSward KSchatz MZeiger RDavidson GNkoy F(2019)Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary AnalysisJMIR Research Protocols10.2196/137838:6(e13783)Online publication date: 6-Jun-2019
https://doi.org/10.2196/13783
van Dortmont Mvan den Elzen Svan Wijk J(2019)ChronoCorrelator: Enriching Events with Time SeriesComputer Graphics Forum10.1111/cgf.1369738:3(387-399)Online publication date: 10-Jul-2019
https://doi.org/10.1111/cgf.13697
Luo G(2019)A roadmap for semi-automatically extracting predictive and clinically meaningful temporal features from medical data for predictive modelingGlobal Transitions10.1016/j.glt.2018.11.0011(61-82)Online publication date: 2019
https://doi.org/10.1016/j.glt.2018.11.001
Fraccaro PVigo MBalatsoukas Pvan der Veer SHassan LWilliams RWood GSinha SBuchan IPeek N(2018)Presentation of laboratory test results in patient portals: influence of interface design on risk interpretation and visual search behaviourBMC Medical Informatics and Decision Making10.1186/s12911-018-0589-718:1Online publication date: 12-Feb-2018
https://doi.org/10.1186/s12911-018-0589-7
Sharma VStranieri AFirmin SMays HBurstein FAbramson D(2018)Approaches for the visualization of health informationProceedings of the Australasian Computer Science Week Multiconference10.1145/3167918.3167958(1-9)Online publication date: 29-Jan-2018
https://dl.acm.org/doi/10.1145/3167918.3167958
Safari LPatrick J(2018)Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependenciesJournal of Biomedical Informatics10.1016/j.jbi.2018.04.00482(13-30)Online publication date: Jun-2018
https://doi.org/10.1016/j.jbi.2018.04.004
Younas AMalik MKhalil-ur-Rehman Shahid R(2016)A detailed study on temporal data visualization techniques in electronic health records2016 Sixth International Conference on Innovative Computing Technology (INTECH)10.1109/INTECH.2016.7845074(638-643)Online publication date: Aug-2016
https://doi.org/10.1109/INTECH.2016.7845074
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