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Investigating a Design Space for Developing Design Thinking in Electronic Healthcare Records

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HCI International 2020 - Late Breaking Papers: User Experience Design and Case Studies (HCII 2020)

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Abstract

In recent years, most hospitals have introduced an Electronic Health Record (EHR) systems to replace paper patient records. The satisfaction with these systems was lower than expected due to the poor organization of system data and the difficulty with obtaining actionable information. Data visualization and interface design are not as advanced in some parts of clinical medicine as it is in other scientific disciplines and commercial industries. In addition, the designers of electronic health record interfaces are confronted with a dizzying array of design choices. In this paper, we propose an 8-dimensional design space to provide a framework when designing interfaces for accessing a patient’s record. We present our methodology to define this design space: first we used the 5W1H method to set the dimensions, then we studied existing systems and interviewed doctors to define main values or categories of each dimension, we present many illustrative examples of these categories. Finally, we showcase the utility of our work for designers of EHR systems through a scenario. Overall, our design space can help building systems which will improve health data visualization and interface design.

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References

  1. Alexander, R.: Interactive information visualization in patient care and clinical research: state of the art (2009)

    Google Scholar 

  2. Anaes, A.n.d.e.d.e.s.: dossier du patient : amélioration de la qualité de la tenue et du contenu réglementation et recommandations. https://has-sante.fr/upload/docs/application/pdf/2009-08/dossier_du_patient_amelioration_de_la_qualite_de_la_tenue_et_du_contenu_-_reglementation_et_recommandations_-_2003.pdf. Accessed 01 Mar 2020

  3. Armijo, D., McDonnell, C., Werner, K.: Electronic health record usability: evaluation and use case framework. AHRQ Publ. 9(10), 1–57 (2009)

    Google Scholar 

  4. Bauer, D.T., Guerlain, S.A., Brown, P.J.: Evaluating the use of flowsheets in pediatric intensive care to inform design. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, pp. 1054–1058. SAGE Publications, Los Angeles (2006). https://doi.org/10.1177/154193120605001011

  5. Beaudouin-Lafon, M., Mackay, W.E.: Prototyping tools and techniques. In: Human-Computer Interaction, pp. 137–160. CRC Press (2009)

    Google Scholar 

  6. Belden, J.L., Grayson, R., Barnes, J.: Defining and testing EMR usability: principles and proposed methods of EMR usability evaluation and rating (2009). http://hdl.handle.net/10355/3719. Accessed 01 Mar 2020

  7. Bertin, J.: Semiology of graphics: diagrams, networks, maps. Redlands (2010)

    Google Scholar 

  8. Biskjaer, M.M., Dalsgaard, P., Halskov, K.: A constraint-based understanding of design spaces. In: Proceedings of the 2014 Conference on Designing Interactive Systems, pp. 453–462 (2014). https://doi.org/10.1145/2598510.2598533

  9. Bricon-Souf, N., Newman, C.R.: Context awareness in health care: a review. Int. J. Med. Inform. 76(1), 2–12 (2007). https://doi.org/10.1016/j.ijmedinf.2006.01.003

  10. Browne, D.: Adaptive user interfaces. Elsevier (2016)

    Google Scholar 

  11. Chittaro, L.: Information visualization and its application to medicine. Artif. Intell. Med. 22(2), 81–88 (2001). https://doi.org/10.1016/S0933-3657(00)00101-9

  12. Dabek, F., Jimenez, E., Caban, J.J.: A timeline-based framework for aggregating and summarizing electronic health records. In: 2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC), pp. 55–61. IEEE (2017). https://doi.org/10.1109/VAHC.2017.8387501

  13. Faiola, A., Srinivas, P., Duke, J.: Supporting clinical cognition: a human-centered approach to a novel ICU information visualization dashboard. In: AMIA Annual Symposium Proceedings, vol. 2015, p. 560. American Medical Informatics Association (2015)

    Google Scholar 

  14. Frohlich, D.M.: The design space of interfaces. In: Kjelldahl, L. (ed.) Multimedia, pp. 53–69. Springer, Heidelberg (1992). https://doi.org/10.1007/978-3-642-77331-0_5

  15. Garrett, P., Seidman, J.: EMR vs EHR-what is the difference. HealthITBuzz, January (2011). Accessed 01 Mar 2020

    Google Scholar 

  16. Haeuslschmid, R., Pfleging, B., Alt, F.: A design space to support the development of windshield applications for the car. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5076–5091 (2016). https://doi.org/10.1145/2858036.2858336

  17. Healthcare, B.: Optimizing image quality in the radiologist’s field of vision (2017)

    Google Scholar 

  18. Huang, C.W., et al.: A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan. J. Am. Med. Inform. Assoc. 22(2), 290–298 (2015). https://doi.org/10.1093/jamia/ocu044

  19. Jin, Y.: Interactive medical record visualization based on symptom location in a 2D human body. Ph.D. thesis, Université d’Ottawa/University of Ottawa (2016). https://doi.org/10.20381/ruor-5245

  20. Kiron, B.: Project planning should start with the 5 w questions before getting to the how? https://kbondale.wordpress.com/2012/05/27/project-planning-starts-with-5-ws/. Accessed 01 Mar 2020

  21. Klinke, H., Krieger, C., Pickl, S.: Analysis of the influence of screen size and resolution on work efficiency (2014). https://doi.org/10.18419/opus-3489

  22. Kosara, R., Miksch, S.: Visualization methods for data analysis and planning in medical applications. Int. J. Med. Inform. 68(1-3), 141–153 (2002). https://doi.org/10.1016/S1386-5056(02)00072-2

  23. Lesselroth, B.J., Pieczkiewicz, D.S.: Data Visualization Strategies for the Electronic Health Record. Nova Science Publishers, Inc. (2011)

    Google Scholar 

  24. Leung, Y.K., Apperley, M.D.: A review and taxonomy of distortion-oriented presentation techniques. ACM Trans. Comput.-Hum. Interact. (TOCHI) 1(2), 126–160 (1994). https://doi.org/10.1145/180171.180173

  25. Loorak, M.H., Perin, C., Kamal, N., Hill, M., Carpendale, S.: Timespan: using visualization to explore temporal multi-dimensional data of stroke patients. IEEE Trans. Vis. Comput. Graph. 22(1), 409–418 (2015). https://doi.org/10.1109/TVCG.2015.2467325

  26. MacLean, A., Young, R.M., Bellotti, V.M., Moran, T.P.: Questions, options, and criteria: elements of design space analysis. Hum.–Comput. Interact. 6(3-4), 201–250 (1991). https://doi.org/10.1207/s15327051hci0603%264_2

  27. MacLean, A., Young, R.M., Moran, T.P.: Design rationale: the argument behind the artifact. ACM SIGCHI Bull. 20(SI), 247–252 (1989). https://doi.org/10.1145/67450.67497

  28. Institute of Medicine: Health IT and Patient Safety: Building Safer Systems for Better Care. The National Academies Press, Washington, DC (2012). https://doi.org/10.17226/13269

  29. Mlaver, E., et al.: User-centered collaborative design and development of an inpatient safety dashboard. Joint Commission J. Qual. Patient Saf. 43(12), 676–685 (2017). https://doi.org/10.1016/j.jcjq.2017.05.010

  30. Nancel, M., Huot, S., Beaudouin-Lafon, M.: Un espace de conception fondé sur une analyse morphologique des techniques de menus. In: Proceedings of the 21st International Conference on Association Francophone d’Interaction Homme-Machine, pp. 13–22 (2009). https://doi.org/10.1145/1629826.1629829

  31. Owen, S.T.: Press release: getting the facts straight. http://www.owenspencer-thomas.com/journalism/media-tips/writing-a-press-release/. Accessed 01 Mar 2020

  32. Plaisant, C., Mushlin, R., Snyder, A., Li, J., Heller, D., Shneiderman, B.: Lifelines: using visualization to enhance navigation and analysis of patient records. In: The Craft of Information Visualization, pp. 308–312. Elsevier (2003). https://doi.org/10.1016/B978-155860915-0/50038-X

  33. Potamias, G.: State of the art on systems for data analysis, information retrieval and decision support. INFOBIOMED project, Deliverable D 13, 2006 (2006)

    Google Scholar 

  34. Ramachandran, K.: Adaptive user interfaces for health care applications. IBM developerWorks (2009). https://doi.org/10.1016/j.procs.2015.07.182

  35. Rind, A., et al.: Interactive information visualization to explore and query electronic health records. Found. Trends® Hum.-Comput. Interact. 5(3), 207–298 (2013). https://doi.org/10.1561/1100000039

  36. Ruchikachorn, P., Liang, J.J., Devarakonda, M., Mueller, K.: Watson-aided non-linear problem-oriented clinical visit preparation on tablet computer. In: The IEEE VIS 2014 Workshop on Visualization of Electronic Health Records, pp. 1–4 (2014)

    Google Scholar 

  37. Schulz, H.J., Nocke, T., Heitzler, M., Schumann, H.: A design space of visualization tasks. IEEE Trans. Vis. Comput. Graph. 19(12), 2366–2375 (2013). https://doi.org/10.1109/TVCG.2013.120

  38. Scott, S.D., Mandryk, R.L., Inkpen, K.M.: Understanding children’s collaborative interactions in shared environments. J. Comput. Assist. Learn. 19(2), 220–228 (2003). https://doi.org/10.1046/j.0266-4909.2003.00022.x

  39. Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings 1996 IEEE Symposium on Visual Languages, pp. 336–343. IEEE (1996). https://doi.org/10.1109/VL.1996.545307

  40. Spence, I.: William playfair and the psychology of graphs. In: 2006 JSM Proceedings, American Statistical Association, Alexandria, pp. 2426–2436 (2006)

    Google Scholar 

  41. Sridevi, S., Sayantani, B., Amutha, K.P., Mohan, C.M., Pitchiah, R.: Context aware health monitoring system. In: Zhang, D., Sonka, M. (eds.) ICMB 2010. LNCS, vol. 6165, pp. 249–257. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13923-9_27

    Chapter  Google Scholar 

  42. Steve, B.: The 5 w’s (and how) are even more important to business than to journalism. https://stevebuttry.wordpress.com/2011/04/27/the-5-w’s-and-how-are-even-more-important-to-business-than-to-journalism/. Accessed 01 Mar 2020

  43. Thomas, M.M., Kannampallil, T., Abraham, J., Marai, G.E.: Echo: a large display interactive visualization of ICU data for effective care handoffs. In: 2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC), pp. 47–54. IEEE (2017). https://doi.org/10.1109/VAHC.2017.8387500

  44. Vo, C., et al.: Electronic medical record visualization for patient progress tracking. In: International Symposium on Affective Science and Engineering ISASE2018, pp. 1–6. Japan Society of Kansei Engineering (2018). https://doi.org/10.5057/isase.2018-C000018

  45. Warner, J.L., Denny, J.C., Kreda, D.A., Alterovitz, G.: Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization. J. Am. Med. Inform. Assoc.: JAMIA 22(2),  324 (2015). https://doi.org/10.1136/amiajnl-2014-002965

  46. West, V.L., Borland, D., Hammond, W.E.: Innovative information visualization of electronic health record data: a systematic review. J. Am. Med. Inform. Assoc. 22(2), 330–339 (2015). https://doi.org/10.1136/amiajnl-2014-002955

  47. Yi, J.S., ah Kang, Y., Stasko, J.: Toward a deeper understanding of the role of interaction in information visualization. IEEE Trans. Vis. Comput. Graph. 13(6), 1224–1231 (2007). https://doi.org/10.1109/TVCG.2007.70515

  48. Zhang, X., Deng, Z., Parvinzamir, F., Dong, F.: Myhealthavatar lifestyle management support for cancer patients. ecancermedicalscience 12 (2018). https://doi.org/10.3332/ecancer.2018.849

  49. Zhang, Z., et al.: The five Ws for information visualization with application to healthcare informatics. IEEE Trans. Vis. Comput. Graph. 19(11), 1895–1910 (2013). https://doi.org/10.1109/TVCG.2013.89

  50. Éric, B.: Les variables. http://ebrunelle.profweb.ca/MQ/Chapitre2.pdf. Accessed 01 Mar 2020

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Acknowledgement

This research was carried during the PhD studies of the first author and supported with funding from laboratoire LCOMS, Université de Lorraine. We thank Mary Bloodworth and Fintan Mc Gee for their careful reading of our paper and their many insightful comments and suggestions.

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Correspondence to Ilyasse Belkacem .

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Belkacem, I., Pecci, I., Faiola, A., Martin, B. (2020). Investigating a Design Space for Developing Design Thinking in Electronic Healthcare Records. In: Stephanidis, C., Marcus, A., Rosenzweig, E., Rau, PL.P., Moallem, A., Rauterberg, M. (eds) HCI International 2020 - Late Breaking Papers: User Experience Design and Case Studies. HCII 2020. Lecture Notes in Computer Science(), vol 12423. Springer, Cham. https://doi.org/10.1007/978-3-030-60114-0_2

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  • DOI: https://doi.org/10.1007/978-3-030-60114-0_2

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