Visual Analytics of Electronic Health Records with a Focus on Time

Visual Analytics is a field of computer science that deals with methods to perform data analysis using both computer-based methods and human judgment facilitated by direct interaction with visual representations of data. Electronic health record systems that apply Visual Analytics methods have the potential to provide healthcare stakeholders with much-needed cognitive support in exploring and querying records. This chapter presents Visual Analytics projects addressing five particular challenges of electronic health records: (1) The complexity of time-oriented data constitutes a cross-cutting challenge so that all projects need to consider design aspects of time-oriented data in one way or another. (2) As electronic health records encompass patient conditions and treatment, they are inherently heterogeneous data. (3) Scaling from single patients to cohorts requires approaches for relative time, space efficiency, and aggregation. (4) Data quality and uncertainty are common issues that need to be considered in real-world projects. (5) A user-centered design process and suitable interaction techniques are another cross-cutting challenge for each and every Visual Analytics project.

[1]  Doheon Lee,et al.  A Taxonomy of Dirty Data , 2004, Data Mining and Knowledge Discovery.

[2]  Silvia Miksch,et al.  Patient Development at a Glance: An Evaluation of a Medical Data Visualization , 2011, INTERACT.

[3]  Wolfgang Aigner,et al.  Comparative Evaluation of an Interactive Time‐Series Visualization that Combines Quantitative Data with Qualitative Abstractions , 2012, Comput. Graph. Forum.

[4]  Luca Chittaro,et al.  Visualizing queries on databases of temporal histories: new metaphors and their evaluation , 2003, Data Knowl. Eng..

[5]  Heidrun Schumann,et al.  Visualization of Time-Oriented Data , 2011, Human-Computer Interaction Series.

[6]  Silvia Miksch,et al.  Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data , 2005, J. Univers. Comput. Sci..

[7]  Silvia Miksch,et al.  Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation , 2011, USAB.

[8]  Daniel A. Keim,et al.  Challenges in Visual Data Analysis , 2006, Tenth International Conference on Information Visualisation (IV'06).

[9]  Tamara Munzner,et al.  Visualization Analysis and Design , 2014, A.K. Peters visualization series.

[10]  Ben Shneiderman,et al.  LifeFlow: visualizing an overview of event sequences , 2011, CHI.

[11]  Denis Lalanne,et al.  Surveying the complementary role of automatic data analysis and visualization in knowledge discovery , 2009, VAKD '09.

[12]  Silvia Miksch,et al.  A Taxonomy of Dirty Time-Oriented Data , 2012, CD-ARES.

[13]  Ben Shneiderman,et al.  Interactive Information Visualization to Explore and Query Electronic Health Records , 2013, Found. Trends Hum. Comput. Interact..

[14]  L. Moja,et al.  Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. , 2014, American journal of public health.

[15]  Ben Shneiderman,et al.  Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations , 2011, Journal of Medical Systems.

[16]  Silvia Miksch,et al.  Analysing Interactivity in Information Visualisation , 2012, KI - Künstliche Intelligenz.

[17]  Tim Oates,et al.  Visualization of multivariate time-series data in a neonatal ICU , 2012, IBM J. Res. Dev..

[18]  Rebecca E. Grinter,et al.  FEATUREIs wellness informatics a field of human-centered health informatics? , 2010, INTR.

[19]  Silvia Miksch,et al.  Task Cube: A three-dimensional conceptual space of user tasks in visualization design and evaluation , 2016, Inf. Vis..

[20]  Silvia Miksch,et al.  TimeCleanser: a visual analytics approach for data cleansing of time-oriented data , 2014, i-KNOW '14.

[21]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[22]  Silvia Miksch,et al.  CareVis: Integrated visualization of computerized protocols and temporal patient data , 2006, Artif. Intell. Medicine.

[23]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[24]  Christophe Hurter,et al.  Visual analytics for the interpretation of fluency tests during Alzheimer evaluation , 2015, VAHC '15.

[25]  Robert Spence,et al.  Information Visualization: Design for Interaction (2nd Edition) , 2006 .

[26]  Ben Shneiderman,et al.  Temporal Event Sequence Simplification , 2013, IEEE Transactions on Visualization and Computer Graphics.

[27]  Katharina Kaiser,et al.  CareCruiser: Exploring and visualizing plans, events, and effects interactively , 2011, 2011 IEEE Pacific Visualization Symposium.

[28]  John T. Stasko,et al.  The Science of Interaction , 2009, Inf. Vis..

[29]  Ben Shneiderman,et al.  LifeLines: using visualization to enhance navigation and analysis of patient records , 1998, AMIA.

[30]  Wolfgang Aigner,et al.  Understanding the Role and Value of Interaction: First Steps , 2011, EuroVA@EuroVis.

[31]  Silvana Quaglini,et al.  Compliance with Clinical Practice Guidelines , 2008, Computer-based Medical Guidelines and Protocols.

[32]  Silvia Miksch,et al.  Qualizon graphs: space-efficient time-series visualization with qualitative abstractions , 2014, AVI.

[33]  Min Chen,et al.  Data, Information, and Knowledge in Visualization , 2009, IEEE Computer Graphics and Applications.

[34]  Jesus J. Caban,et al.  Visual analytics in healthcare - opportunities and research challenges , 2015, J. Am. Medical Informatics Assoc..

[35]  Silvia Miksch,et al.  Connecting time-oriented data and information to a coherent interactive visualization , 2004, CHI.

[36]  Silvia Miksch,et al.  Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots , 2011, HCI.

[37]  Silvia Miksch,et al.  Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans , 2001, Artif. Intell. Medicine.

[38]  Silvia Miksch,et al.  Visual Encodings of Temporal Uncertainty: A Comparative User Study , 2016, IEEE Transactions on Visualization and Computer Graphics.

[39]  Stefan Biffl,et al.  PlanningLines: novel glyphs for representing temporal uncertainties and their evaluation , 2005, Ninth International Conference on Information Visualisation (IV'05).

[40]  Silvia Miksch,et al.  Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts , 2015, EuroVA@EuroVis.

[41]  Christopher Andrews,et al.  The human is the loop: new directions for visual analytics , 2014, Journal of Intelligent Information Systems.

[42]  I. V. Ramakrishnan,et al.  The Five Ws for Information Visualization with Application to Healthcare Informatics , 2013, IEEE Transactions on Visualization and Computer Graphics.

[43]  Katharina Kaiser,et al.  Design and evaluation of an interactive visualization of therapy plans and patient data , 2011, BCS HCI.

[44]  Mor Peleg,et al.  Computer-interpretable clinical guidelines: A methodological review , 2013, J. Biomed. Informatics.

[45]  Heidi Lam,et al.  A Framework of Interaction Costs in Information Visualization , 2008, IEEE Transactions on Visualization and Computer Graphics.

[46]  Ben Shneiderman,et al.  The challenges of specifying intervals and absences in temporal queries: a graphical language approach , 2013, CHI.

[47]  Chris North,et al.  An Evaluation of Microarray Visualization Tools for Biological Insight , 2004 .

[48]  David Gotz,et al.  Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization , 2012, IEEE Transactions on Visualization and Computer Graphics.

[49]  Silvia Miksch,et al.  A matter of time: Applying a data-users-tasks design triangle to visual analytics of time-oriented data , 2014, Comput. Graph..

[50]  Ben Shneiderman,et al.  Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics , 2015, IUI.

[51]  Yuval Shahar,et al.  A Framework for Knowledge-Based Temporal Abstraction , 1997, Artif. Intell..

[52]  Daniel A. Keim,et al.  Mastering the Information Age - Solving Problems with Visual Analytics , 2010 .

[53]  Wolfgang Aigner,et al.  Multi-device Visualisation Design for Climbing Self-Assessment , 2016, 2016 20th International Conference Information Visualisation (IV).