Skip to main content
SpringerLink
Log in
Book cover

Symposium of the Austrian HCI and Usability Engineering Group

USAB 2011: Information Quality in e-Health pp 301–320Cite as

Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7058))

Abstract

Medical care, particularly for chronic diseases, accumulates a huge amount of patient data over extensive time periods that needs to be accessed and analyzed accordingly. Information Visualization methods hold great promises in turning data deluge into improved quality of medical care. Yet, patient data management systems mostly provide documents, form-based displays, or static visualizations. We present a design study of an interactive visualization system, called VisuExplore, to support long-term care and medical analysis of patients with chronic diseases. VisuExplore offers interaction techniques for effective exploration of time-oriented data and employs simple, but intuitive visualization techniques. It was developed in close cooperation with physicians. We conducted two user studies with nine physicians and 16 students, which indicate that our design is useful and appropriate for particular tasks.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adams, A., Cox, A.L.: Questionnaires, in-depth interviews and focus groups. In: Cairns, P., Cox, A.L. (eds.) Research Methods for Human-Computer Interaction, pp. 17–34. Cambridge University Press, Cambridge (2008)

    Chapter  Google Scholar 

  2. Aigner, W., Miksch, S., Müller, W., Schumann, H., Tominski, C.: Visualizing time-oriented data—a systematic view. Computers & Graphics 31(3), 401–409 (2007)

    Article  Google Scholar 

  3. Ardito, C., Buono, P., Costabile, M.F., Lanzilotti, R.: Two different interfaces to visualize patient histories on a PDA. In: Proc. 8th Conf. Human-Computer Interaction with Mobile Devices and Services, pp. 37–40. ACM (2006)

    Google Scholar 

  4. Bade, R., Schlechtweg, S., Miksch, S.: Connecting time-oriented data and information to a coherent interactive visualization. In: Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI), pp. 105–112 (2004)

    Google Scholar 

  5. Brodbeck, D., Gasser, R., Degen, M., Reichlin, S., Luthiger, J.: Enabling large-scale telemedical disease management through interactive visualization. In: Connecting Medical Informatics and Bio-Informatics, Proc. Int. Congress Eur. Fed. Med. Inform. (MIE), pp. 1172–1177 (2005)

    Google Scholar 

  6. Card, S.K., Mackinlay, J.D., Shneiderman, B. (eds.): Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  7. Catarci, T., Santucci, G., Silva, S.F.: An interactive visual exploration of medical data for evaluating health centres. Journal of Research and Practice in Information Technology 35(2), 99–119 (2003)

    Google Scholar 

  8. Cousins, S.B., Kahn, M.G.: The visual display of temporal information. Artificial Intelligence in Medicine 3(6), 341–357 (1991)

    Article  Google Scholar 

  9. Faiola, A., Newlon, C.: Advancing Critical Care in the ICU: A Human-Centered Biomedical Data Visualization Systems. In: Robertson, M.M. (ed.) EHAWC 2011 and HCII 2011. LNCS, vol. 6779, pp. 119–128. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  10. Fekete, J.D., van Wijk, J., Stasko, J.T., North, C.: The Value of Information Visualization. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 1–18. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Gschwandtner, T., Aigner, W., Kaiser, K., Miksch, S., Seyfang, A.: CareCruiser: exploring and visualizing plans, events, and effects interactively. In: Proc. IEEE Pacific Visualization Symp. (PacificVis), pp. 43–50 (2011)

    Google Scholar 

  12. Heer, J., Card, S.K., Landay, J.A.: prefuse: A toolkit for interactive information visualization. In: Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI), pp. 421–430 (2005)

    Google Scholar 

  13. Heer, J., Vigas, F.B., Wattenberg, M.: Voyagers and voyeurs: Supporting asynchronous collaborative visualization. Communications of the ACM 52(1), 87–97 (2009)

    Article  Google Scholar 

  14. Hinum, K., Miksch, S., Aigner, W., Ohmann, S., Popow, C., Pohl, M., Rester, M.: Gravi++: Interactive information visualization to explore highly structured temporal data. Journal of Universal Computer Science 11(11), 1792–1805 (2005)

    Google Scholar 

  15. Horn, W., Popow, C., Unterasinger, L.: Support for fast comprehension of ICU data: Visualization using metaphor graphics. Methods of Information in Medicine 40(5), 421–424 (2001)

    Google Scholar 

  16. Klimov, D., Shahar, Y., Taieb-Maimon, M.: Intelligent visualization and exploration of time-oriented data of multiple patients. Artificial Intelligence in Medicine 49(1), 11–31 (2010)

    Article  Google Scholar 

  17. Lam, H.: A framework of interaction costs in information visualization. IEEE Trans. Visualization and Computer Graphics 14(6), 1149–1156 (2008)

    Article  Google Scholar 

  18. Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., Rind, A.: Towards a concept how the structure of time can support the visual analytics process. In: Miksch, S., Santucci, G. (eds.) Proc. Int. Workshop Visual Analytics (EuroVA 2011) in conjunction with EuroVis 2011, Eurographics, Goslar, Germany, pp. 9–12 (2011)

    Google Scholar 

  19. Martins, S.B., Shahar, Y., Goren-Bar, D., Galperin, M., Kaizer, H., Basso, L.V., McNaughton, D., Goldstein, M.K.: Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data. Artificial Intelligence in Medicine 43(1), 17–34 (2008)

    Article  Google Scholar 

  20. Munzner, T.: Process and Pitfalls in Writing Information Visualization Research Papers. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 134–153. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  21. Pike, W.A., Stasko, J., Chang, R., O’Connell, T.A.: The science of interaction. Information Visualization 8(4), 263–274 (2009)

    Article  Google Scholar 

  22. Plaisant, C., Mushlin, R., Snyder, A., Li, J., Heller, D., Shneiderman, B.: LifeLines: using visualization to enhance navigation and analysis of patient records. In: Proc. AMIA Symp., pp. 76–80 (1998)

    Google Scholar 

  23. Pohl, M., Wiltner, S., Rind, A., Aigner, W., Miksch, S., Turic, T., Drexler, F.: Patient Development at a Glance: An Evaluation of a Medical Data Visualization. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011, Part IV. LNCS, vol. 6949, pp. 292–299. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  24. Potamias, G.: State of the art on systems for data analysis, information retrieval and decision support. Deliverable D13, INFOBIOMED project (2006), http://www.infobiomed.org/paginas_en/INFOBIOMED_D13_final.pdf (access July 14, 2010)

  25. Powsner, S.M., Tufte, E.R.: Graphical summary of patient status. Lancet 344(8919), 386–389 (1994)

    Article  Google Scholar 

  26. Reijner, H.: The development of the horizon graph. In: Bartram, L., Stone, M., Gromala, D. (eds.) Proc. Vis 2008 Workshop From Theory to Practice: Design, Vision and Visualization (2008)

    Google Scholar 

  27. Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Drexler, F., Neubauer, B., Suchy, N.: Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots. In: Robertson, M.M. (ed.) EHAWC 2011 and HCII 2011. LNCS, vol. 6779, pp. 139–148. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  28. Rind, A., Miksch, S., Aigner, W., Turic, T., Pohl, M.: VisuExplore: gaining new medical insights from visual exploration. In: Hayes, G.R., Tan, D.S. (eds.) Proc. Int. Workshop on Interactive Systems in Healthcare (WISH@CHI2010), pp. 149–152. SIGCHI (2010)

    Google Scholar 

  29. Sharp, H., Rogers, Y., Preece, J.: Interaction Design: Beyond Human-Computer Interaction, 2nd edn. Wiley & Sons, Chichester (2007)

    Google Scholar 

  30. Shrinivasan, Y.B., van Wijk, J.J.: Supporting the analytical reasoning process in information visualization. In: Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI), pp. 1237–1246 (2008)

    Google Scholar 

  31. Spence, R.: Information Visualization: Design for Interaction., 2nd edn. Prentice Hall, Upper Saddle River (2007)

    Google Scholar 

  32. Sundvall, E., Nystrom, M., Forss, M., Chen, R., Petersson, H., Ahlfeldt, H.: Graphical overview and navigation of electronic health records in a prototyping environment using google earth and openEHR archetypes. In: Kuhn, K.A., Warren, J.R., Leong, T. (eds.) Proc. 12th World Congr. Health (Medical) Informatics (Medinfo 2007), pp. 1043–1047. IOS, Amsterdam (2007)

    Google Scholar 

  33. Tufte, E.R.: The Visual Display of Quantitative Information. Graphics Press, Cheshire, CT (1983)

    Google Scholar 

  34. Wang, T.D., Plaisant, C., Shneiderman, B., Spring, N., Roseman, D., Marchand, G., Mukherjee, V., Smith, M.: Temporal summaries: Supporting temporal categorical searching, aggregation and comparison. IEEE Trans. Visualization and Computer Graphics 15(6), 1049–1056 (2009)

    Article  Google Scholar 

  35. Wongsuphasawat, K., Shneiderman, B.: Finding comparable temporal categorical records: A similarity measure with an interactive visualization. In: Proc. IEEE Symp. Visual Analytics Science and Technology (VAST), pp. 27–34 (2009)

    Google Scholar 

  36. Zhang, Z., Mittal, A., Garg, S., Dimitriyadi, A.E., Ramakrishnan, I.V., Zhao, R., Viccellio, A., Mueller, K.: A visual analytics framework for emergency room clinical encounters. In: IEEE Workshop on Visual Analytics in Health Care (2010), http://research.ihost.com/vahc2010/ (access May 5, 2011)

Download references

Author information

Authors and Affiliations

  1. Institute of Software Technology & Interactive Systems, Vienna University of Technology, Austria

    Alexander Rind, Wolfgang Aigner & Silvia Miksch

  2. Research Group Human Computer Interaction, Vienna University of Technology, Austria

    Sylvia Wiltner & Margit Pohl

  3. Department of Information and Knowledge Engineering, Danube University Krems, Austria

    Alexander Rind, Wolfgang Aigner, Silvia Miksch & Thomas Turic

  4. Landesklinikum Krems, Austria

    Felix Drexler

Authors
  1. Alexander Rind
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wolfgang Aigner
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Silvia Miksch
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sylvia Wiltner
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Margit Pohl
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Thomas Turic
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Felix Drexler
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Medical Informatics, Statistics and Documentation (IMI), Research Unit Human–Computer Interaction, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger  & Klaus-Martin Simonic  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rind, A. et al. (2011). Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation. In: Holzinger, A., Simonic, KM. (eds) Information Quality in e-Health. USAB 2011. Lecture Notes in Computer Science, vol 7058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25364-5_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25364-5_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25363-8

  • Online ISBN: 978-3-642-25364-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation