Skip to main content
SpringerLink
Log in

Human-Computer Interaction, Usability, and Workflow

  • Chapter
  • First Online:
Biomedical Informatics

Abstract

The widespread adoption and use of health information has transformed healthcare for clinicians and patients alike. The vast potential of these technologies have not yet been fully realized. Health technologies—ranging from personal health devices to electronic health records—have been riddled with issues related to usability, increasing the potential for adverse and unintended consequences. In this chapter, we provide an overview of human computer interaction issues and their theoretical foundations. This chapter provides an overview of methods that can be used to address the usability issues. It also describes efforts to understand technology-mediated workflow. The repertoire of available methods, coupled with the growing body of studies, constitutes a significant body of knowledge that can inform user-centered design and lead to enhanced user experiences.

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

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Notes

  1. 1.

    While GOMS (See 7 Sect. 5.4.1.3) is considered a task-analytic approach, we have categorized it as a model-based approach for predictions of task completion times. It is based on a task analytic decomposition of tasks.

References

  • Aarts, J., Ash, J., & Berg, M. (2007). Extending the understanding of computerized physician order entry: Implications for professional collaboration, workflow and quality of care. International Journal of Medical Informatics, 76(Suppl 1), S4–S13.

    Article  PubMed  Google Scholar 

  • Agrawal, A. (2009). Medication errors: Prevention using information technology systems. British Journal of Clinical Pharmacology, 67(6), 681–686.

    Article  PubMed  PubMed Central  Google Scholar 

  • Allen, M., Currie, L. M., Bakken, S., Patel, V. L., & Cimino, J. J. (2006). Heuristic evaluation of paper-based Web pages: A simplified inspection usability methodology. Journal of Biomedical Informatics, 39(4), 412–423. https://doi.org/10.1016/j.jbi.2005.10.004.

    Article  PubMed  Google Scholar 

  • Annett, J., & Duncan, K. D. (1967). Task analysis and training design. Occupational Psychology, 41, 211–221.

    Google Scholar 

  • Ash, J. S., Gorman, P. N., Lavelle, M., Payne, T. H., Massaro, T. A., Frantz, G. L., & Lyman, J. A. (2003). A cross-site qualitative study of physician order entry. Journal of the American Medical Informatics Association, 10(2), 188–200.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: The nature of patient care information system-related errors. Journal of the American Medical Informatics Association, 11(2), 104–112. https://doi.org/10.1197/jamia.M1471.

    Article  PubMed  PubMed Central  Google Scholar 

  • Assila, A., de Oliveira, K. M., & Ezzedine, H. (2014). Towards qualitative and quantitative data integration approach for enhancing HCI quality evaluation. In M. Kurosu (Ed.), Human-computer interaction. theories, methods, and tools (pp. 469–480). Cham: Springer International Publishing.

    Chapter  Google Scholar 

  • Ben-Assuli, O., Shabtai, I., & Leshno, M. (2015). Using electronic health record systems to optimize admission decisions: The creatinine case study. Health Informatics Journal, 21(1), 73–88.

    Article  PubMed  Google Scholar 

  • Blandford, D., & Furniss, D. (2006). DiCoT: A methodology for applying distributed cognition to the design of teamworking systems. In S. W. Gilroy & M. D. Harrison (Eds.), Interactive systems: Design, specification, and verification (pp. 26–38). Berlin: Springer.

    Chapter  Google Scholar 

  • Boockvar, K. S., Santos, S. L., Kushniruk, A., Johnson, C., & Nebeker, J. R. (2011). Medication reconciliation: Barriers and facilitators from the perspectives of resident physicians and pharmacists. Journal of Hospital Medicine, 6(6), 329–337.

    Article  PubMed  Google Scholar 

  • Brooke, J. (1996). SUS: A “quick and dirty” usability scale. In P. W. Jordan, B. Thomas, & I. L. McClell (Eds.), Usability evaluation in industry (pp. 189–195). London: Taylor & Francis.

    Google Scholar 

  • Burke, H. B., Sessums, L. L., Hoang, A., Becher, D. A., Fontelo, P., Liu, F., et al. (2014). Electronic health records improve clinical note quality. Journal of the American Medical Informatics Association, 22(1), 199–205.

    Article  PubMed  PubMed Central  Google Scholar 

  • Burrows, D., & Kendall, S. (1997). Focus groups: What are they and how can they be used in nursing and health care research? Social Sciences in Health, 3, 244–253.

    Google Scholar 

  • Carayon, P., Karsh, B., Cartmill, R., Hoonakker, P., Hundt, A. S., Krueger, D., & Wetterneck, T. (2010). Incorporating health information technology into workflow redesign-summary report. Rockville: Agency for Healthcare Research and Quality.

    Google Scholar 

  • Carayon, P., Xie, A., & Kianfar, S. (2014). Human factors and ergonomics as a patient safety practice. BMJ Quality and Safety, 23(3), 196–205.

    Article  PubMed  Google Scholar 

  • Card, S. K., Moran, T. P., & Newell, A. l. (1980). The keystroke-level model for user performance time with interactive systems. Communications of the ACM, 23(7), 396–410. https://doi.org/10.1145/358886.358895.

    Article  Google Scholar 

  • Card, S. K., Newell, A., & Moran, T. P. (1983). The psychology of human-computer interaction. Hillsdale: Lawrence Erlbaum Associates.

    Google Scholar 

  • Carroll, J. M. (2003). HCI models, theories, and frameworks: Toward a multidisciplinary science. San Francisco: Morgan Kaufmann.

    Google Scholar 

  • Caulton, D. A. (2001). Relaxing the homogeneity assumption in usability testing. Behaviour & Information Technology, 20, 1–7.

    Article  Google Scholar 

  • Chan, C. V., & Kaufman, D. R. (2011). A framework for characterizing eHealth literacy demands and barriers. Journal of Medical Internet Research, 13(4), e94.

    Article  PubMed  PubMed Central  Google Scholar 

  • Chipman, S. F., Schraagen, J. M., & Shalin, V. L. (2000). Introduction to cognitive task analysis. In J. M. Schraagen, S. F. Chipman, & V. J. Shute (Eds.), Cognitive task analysis (pp. 3–23). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Chung, P., Zhang, J., Johnson, T., & Patel, V. (2003). An extended hierarchical task analysis for error prediction in medical devices. AMIA Annu Symp Proc, 2003, 165–169.

    PubMed Central  Google Scholar 

  • Cimino, J. J., Li, J., Mendonça, E. A., Sengupta, S., Patel, V. L., & Kushniruk, A. W. (2000). An evaluation of patient access to their electronic medical records via the World Wide Web. Paper presented at the Proceedings of the AMIA Symposium.

    Google Scholar 

  • Collins, S., Couture, B., Dykes, P., Schnock, K., Knaplund, C., Frank Chang, F., & Cato, K. (2018). Quantifying and visualizing nursing flowsheet documentation burden in acute and critical care. Paper presented at the AMIA 2018 Annual Symposium, San Francisco.

    Google Scholar 

  • Cohen, T., Blatter, B., Almeida, C., Shortliffe, E., & Patel, V. (2006). Distributed cognition in the Psychiatric Emergency Department: A cognitive blueprint of a collaboration in context. Artificial Intelligence in Medicine; 37:73–83.

    Google Scholar 

  • Cooke, N. J. (1994). Varieties of knowledge elicitation techniques. International Journal of Human-Computer Studies, 41, 801–849.

    Article  Google Scholar 

  • Dalai, V. V., Khalid, S., Gottipati, D., Kannampallil, T. G., John, V., Blatter, B., et al. (2014). Evaluating the effects of cognitive support on psychiatric clinical comprehension. Aritificial Intelligence in Medicine, 62(2), 91–104.

    Article  Google Scholar 

  • Denton, C. A., Soni, H. C., Kannampallil, T. G., Serrichio, A., Shapiro, J. S., Traub, S. J., & Patel, V. L. (2018). Emergency Physicians’ Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics. Applied clinical informatics, 9(03), 725–733.

    Google Scholar 

  • Duncan, B., Zheng, L., Furniss, S., Solomon, A., Doebbeling, B., Grando, M., et al. (2018a). In search of vital signs: A comparative study of EHR documentation. Paper presented at the AMIA 2018 Annual Symposium, San Francisco.

    Google Scholar 

  • Duncan, B. J., Zheng, L., Furniss, S. K., Doebbeling, B. N., Grando, A., Solomon, A. J., et al. (2018b). Perioperative medication management: Reconciling differences across clinical sites. Paper presented at the Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care.

    Google Scholar 

  • Duncan, B. J., Kaufman, D. R., Zheng, L., Grando, A., Furniss, S. K., Poterack, K. A., ... & Doebbeling, B. N. (2020). A micro-analytic approach to understanding electronic health record navigation paths. Journal of Biomedical Informatics, 110, 103566.

    Google Scholar 

  • Elkin, P. L., Sorensen, B., De Palo, D., Poland, G., Bailey, K. R., Wood, D. L., & LaRusso, N. F. (2002). Optimization of a research web environment for academic internal medicine faculty. Journal of the American Medical Informatics Association, 9(5), 472–478.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ericsson, K. A., & Simon, H. (1980). Verbal reports as data. Psychological Review, 87(3), 215–250.

    Article  Google Scholar 

  • Ericsson, K. A., & Simon, H. (1984). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.

    Google Scholar 

  • Fisher, A., & Fonteyn, M. E. (1995). An exploration of an innovative methodological approach for examining nurses’ heuristic use in clinical practice. Scholarly Inquiry for Nursing Practice, 9(3), 263–276.

    CAS  PubMed  Google Scholar 

  • Fitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47, 381–391.

    Article  CAS  PubMed  Google Scholar 

  • Fonteyn, M. E., & Grobe, S. J. (1994). Expert system development in nursing: Implications for critical care nursing practice. Heart & Lung: The Journal of Critical Care, 23(1), 80–87.

    CAS  Google Scholar 

  • Fonteyn, M., Kuipers, B., & Grobe, S. (1993). A description of think aloud method and protocol analysis. Qualitative Health Research, 3, 430–441. https://doi.org/10.1177/104973239300300403.

    Article  Google Scholar 

  • Fowler, L. P. (1997). Clinical reasoning strategies used during care planning. Clinical Nursing Research, 6(4), 349–361.

    Article  CAS  PubMed  Google Scholar 

  • Funkesson, K. H., Anbäcken, E.-M., & Ek, A.-C. (2007). Nurses’ reasoning process during care planning taking pressure ulcer prevention as an example. A think-aloud study. International Journal of Nursing Studies, 44, 1109–1119.

    Article  PubMed  Google Scholar 

  • Furniss, D., Masci, P., Curzon, P., Mayer, A., & Blandford, A. (2015). Exploring medical device design and use through layers of distributed cognition: How a glucometer is coupled with its context. Journal of Biomedical Informatics, 53, 330–341.

    Article  PubMed  Google Scholar 

  • Gibbs, A. (1997). Focus groups. Social Research Update, 19, 1–7.

    Google Scholar 

  • Gray, W. D., & Boehm-Davis, D. A. (2000). Milliseconds matter: An introduction to microstrategies and to their use in describing and predicting interactive behavior. Journal of Experimental Psychology: Applied, 6(4), 322.

    CAS  PubMed  Google Scholar 

  • Grobe, S. J., Drew, J. A., & Fonteyn, M. E. (1991). A descriptive analysis of experienced nurses’ clinical reasoning during a planning task. Research in Nursing & Health, 14(4), 305–314.

    Article  CAS  Google Scholar 

  • Hall, M., De Jong, M., & Steehouder, M. (2004). Cultural differences and usability evaluation: Individualistic and collectivistic participants compared. Technical Communication, 51(4), 489–503.

    Google Scholar 

  • Harrington, L. (2015). Electronic health record workflow: Why more work than flow? AACN Advanced Critical Care, 26(1), 5–9.

    Article  PubMed  Google Scholar 

  • Hart, S., & Staveland, L. (1988). Development of NASA TLX (Task Load Index): Results of empirical and theoretical research. In P. Hancock & N. Meshkati (Eds.), Human mental workload. Amsterdam: North Holland Press.

    Google Scholar 

  • Hazlehurst, B., McMullen, C. K., & Gorman, P. N. (2007). Distributed cognition in the heart room: How situation awareness arises from coordinated communications during cardiac surgery. Journal of Biomedical Informatics, 40(5), 539–551.

    Article  PubMed  Google Scholar 

  • Hazlehurst, B., Gorman, P. N., & McMullen, C. K. (2008). Distributed cognition: An alternative model of cognition for medical informatics. International Journal of Medical Informatics, 77(4), 226–234.

    Article  PubMed  Google Scholar 

  • Hendrick, H. W., & Kleiner, B. M. (1999). Macroergonomics: An introduction to work system design. Santa Monica: Human Factors and Ergonomics Society.

    Google Scholar 

  • Hettinger, A. Z., Roth, E. M., & Bisantz, A. M. (2017). Cognitive engineering and health informatics: Applications and intersections. Journal of Biomedical Informatics, 67, 21–33.

    Article  PubMed  Google Scholar 

  • Hewing, N. J., Kaufman, D. R., Chan, R. P., & Chiang, M. F. (2013). Plus disease in retinopathy of prematurity: Qualitative analysis of diagnostic process by experts. JAMA Ophthalmology, 131(8), 1026–1032.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hick, W. E. (1951). A simple stimulus generator. Quarterly Journal of Experimental Psychology, 3, 94–95.

    Article  Google Scholar 

  • Holzinger, A., Kosec, P., Schwantzer, G., Debevc, M., Hofmann-Wellenhof, R., & FrĂĽhauf, J. (2011). Design and development of a mobile computer application to reengineer workflows in the hospital and the methodology to evaluate its effectiveness. Journal of Biomedical Informatics, 44(6), 968–977. https://doi.org/10.1016/j.jbi.2011.07.003.

    Article  PubMed  Google Scholar 

  • Horsky, J., Kaufman, D. R., Oppenheim, M. I., & Patel, V. L. (2003). A framework for analyzing the cognitive complexity of computer-assisted clinical ordering. Journal of Biomedical Informatics, 36(1–2), 4–22.

    Article  PubMed  Google Scholar 

  • Horsky, J., Drucker, E. A., & Ramelson, H. Z. (2017). Higher accuracy of complex medication reconciliation through improved design of electronic tools. Journal of the American Medical Informatics Association, 25(5), 465–475.

    Article  PubMed Central  Google Scholar 

  • Hripcsak, G., Vawdrey, D. K., Fred, M. R., & Bostwick, S. B. (2011). Use of electronic clinical documentation: Time spent and team interactions. Journal of the American Medical Informatics Association, 18(2), 112–117. https://doi.org/10.1136/jamia.2010.008441.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press.

    Google Scholar 

  • Hyman, R. (1953). Stimulus information as a determinant of reaction time. Journal of Experimental Psychology, 45, 188–196.

    Article  CAS  PubMed  Google Scholar 

  • Hysong, S. J., Sawhney, M. K., Wilson, L., Sittig, D. F., Espadas, D., Davis, T., & Singh, H. (2010). Provider management strategies of abnormal test result alerts: A cognitive task analysis. Journal of the American Medical Informatics Association, 17(1), 71–77. https://doi.org/10.1197/jamia.M3200.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jaspers, M. W. (2009). A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. International Journal of Medical Informatics, 78(5), 340–353.

    Article  PubMed  Google Scholar 

  • Johnson, C. M., Johnson, T. R., & Zhang, J. (2005). A user-centered framework for redesigning health care interfaces. Journal of Biomedical Informatics, 38, 75–87.

    Article  PubMed  Google Scholar 

  • Kahn, M. J., & Prail, A. (1994). Formal usability inspections. In Usability inspection methods (pp. 141–171). New York: John Wiley & Sons, Inc.

    Google Scholar 

  • Kannampallil, T. G., Franklin, A., Mishra, R., Cohen, T., Almoosa, K. F., & Patel, V. L. (2013a). Understanding the nature of information seeking behavior in critical care: Implications for the Design of Health Information Technology. Artificial Intelligence in Medicine, 57(1), 21–29.

    Google Scholar 

  • Kannampallil, T. G., Denton, C. A., Shapiro, J. S., & Patel, V. L. (2018b). Efficiency of Emergency Physicians: Insights from an Observational Study using EHR Log Files. Applied Clinical Informatics, 9(01), 099–104.

    Google Scholar 

  • Karahoca, A., Bayraktar, E., Tatoglu, E., & Karahoca, D. (2010). Information system design for a hospital emergency department: A usability analysis of software prototypes. Journal of Biomedical Informatics, 43(2), 224–232. https://doi.org/10.1016/j.jbi.2009.09.002.

    Article  PubMed  Google Scholar 

  • Karat, C.-M. (1994). A comparison of user interface evaluation methods. Paper presented at the Usability Inspection Methods.

    Google Scholar 

  • Kaufman, D. R., Patel, V. L., Hillman, C., Morin, P. C., Pevzner, J., Weinstock, R. S., et al. (2003a). Usability in the real world: Assessing medical information technologies in patients’ homes. Journal of Biomedical Informatics, 36(1), 45–60.

    Article  PubMed  Google Scholar 

  • Kaufman, D. R., Starren, J., Patel, V. L., Morin, P. C., Hilliman, C., Pevzner, J., et al. (2003b). A cognitive framework for understanding barriers to the productive use of a diabetes home telemedicine system. Paper presented at the AMIA Annual Symposium Proceedings.

    Google Scholar 

  • Kaufman, D. R., Pevzner, J., Rodriguez, M., Cimino, J. J., Ebner, S., Fields, L., et al. (2009). Understanding workflow in telehealth video visits: Observations from the IDEATel project. Journal of Biomedical Informatics, 42(4), 581–592.

    Article  PubMed  Google Scholar 

  • Kaufman, D. R., Kannampallil, T. G., & Patel, V. L. (2015). Cognition and human computer interaction in health and biomedicine. In Cognitive informatics for biomedicine (pp. 9–34). Cham: Springer.

    Chapter  Google Scholar 

  • Kitzinger, J. (1995). Introducing focus groups. British Medical Journal, 311, 299–302.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Koppel, R., Metlay, J. P., Cohen, A., Abaluck, B., Localio, A. R., Kimmel, S. E., & Strom, B. L. (2005). Role of computerized physician order entry systems in facilitating medication errors. JAMA, 293(10), 1197–1203.

    Article  CAS  PubMed  Google Scholar 

  • Krueger, R. A. (2009). Focus groups: A practical guide for applied research. London: Sage.

    Google Scholar 

  • Kushniruk, A. W., Kaufman, D. R., Patel, V. L., Levesque, Y., & Lottin, P. (1996). Assessment of a computerized patient record system: A cognitive approach to evaluating medical technology. MD Computing, 13, 406–415.

    CAS  PubMed  Google Scholar 

  • Kushniruk, A.W. & Patel, V.L. (2004). Cognitive and usability engineering methods for the evaluation of clinical information systems. Journal of Biomedical Informatics; 37(1): 56–76.

    Google Scholar 

  • Lau, F., Price, M., Boyd, J., Partridge, C., Bell, H., & Raworth, R. (2012). Impact of electronic medical record on physician practice in office settings: A systematic review. BMC Medical Informatics and Decision Making, 12(1), 10.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lesselroth, B. J., Adams, K., Tallett, S., Wood, S. D., Keeling, A., Cheng, K., et al. (2013). Design of admission medication reconciliation technology: A human factors approach to requirements and prototyping. HERD: Health Environments Research & Design Journal, 6(3), 30–48.

    Article  Google Scholar 

  • Lewis, J. R. (1991). Psychometric evaluation of an after-scenario questionnaire for computer usability studies: The ASQ. ACM SIGCHI Bulletin, 23(1), 78–81.

    Article  Google Scholar 

  • Lewis, J. R. (1994). Sample sizes for usability studies: Additional considerations. Human Factors, 36, 369–378.

    Article  Google Scholar 

  • Lin, L., Isla, R., Doniz, K., Harkness, H., Vicente, K. J., & Doyle, D. J. (1998). Applying human factors to the design of medical equipment: Patient-controlled analgesia. Journal of Clinical Monitoring and Computing, 14(4), 253–263.

    Article  CAS  PubMed  Google Scholar 

  • LundgrĂ©n-Laine, H., & Salanterä, S. (2010). Think-aloud technique and protocol analysis in clinical decision-making research. Qualitative Health Research, 20(4), 565–575. https://doi.org/10.1177/1049732309354278.

    Article  PubMed  Google Scholar 

  • MacKenzie, I. S., Zhang, S. X., & Soukoreff, R. W. (1999). Text entry using soft keyboards. Behaviour and Information Technology, 18, 235–244.

    Article  Google Scholar 

  • Mason, J. (2002). Qualitative researching. London: Sage Publications.

    Google Scholar 

  • McDonald, C. J., Callaghan, F. M., Weissman, A., Goodwin, R. M., Mundkur, M., & Kuhn, T. (2014). Use of internist’s free time by ambulatory care Electronic Medical Record systems. JAMA Internal Medicine, 174(11), 1860–1863.

    Article  PubMed  Google Scholar 

  • Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., et al. (2013). Enhancing patient safety and quality of care by improving the usability of electronic health record systems: Recommendations from AMIA. Journal of the American Medical Informatics Association, 20(e1), e2–e8.

    Article  PubMed  PubMed Central  Google Scholar 

  • Myers, B. A., & Rosson, M. B. (1992, June). Survey on user interface programming. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 195–202).

    Google Scholar 

  • Nielsen, J. (1994a). Usability engineering. San Francisco: Morgan Kaufmann.

    Google Scholar 

  • Nielsen, J. (2008). Usability ROI declining, but still strong.

    Google Scholar 

  • Nielsen, J., & Molich, R. (1990). Heuristic evaluation of user interfaces. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Seattle, WA.

    Google Scholar 

  • Norman, D. A. (1986). Cognitive engineering. In D. A. Norman & S. W. Draper (Eds.), User centered system design (pp. 31–61). Hillsdale: Lawrence Erlbaum Associates.

    Chapter  Google Scholar 

  • Norman, D. A. (1988). The psychology of everyday things. New York: Basic Books.

    Google Scholar 

  • Olson, G. M., & Olson, J. S. (2003). Human-computer interaction: Psychological aspects of the human use of computing. Annual Review of Psychology, 54(1), 491–516. https://doi.org/10.1146/annurev.psych.54.101601.145044.

    Article  PubMed  Google Scholar 

  • Patel, V. L., & Groen, G. J. (1991a). Developmental accounts of the transition from medical student to doctor: Some problems and suggestions. Medical Education, 25(6), 527–535.

    Article  CAS  PubMed  Google Scholar 

  • Patel, V. L., & Groen, G. J. (1991b). The general and specific nature of medical expertise: A critical look. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 93–125). New York: Cambridge University Press.

    Google Scholar 

  • Patel, V. L., Arocha, J. F., & Kaufman, D. R. (1994). Diagnostic reasoning and medical expertise. In L. M. Douglas (Ed.), Psychology of learning and motivation (Vol. 31, pp. 187–252). San Diego: Academic Press.

    Google Scholar 

  • Patel, V. L., Arocha, J. F., & Kaufman, D. R. (2001). A primer on aspects of cognition for medical informatics. Journal of the American Medical Informatics Association, 8(4), 324–343. https://doi.org/10.1136/jamia.2001.0080324.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Patel, V. L., Kannampallil, T. G., & Kaufman, D. R. (2015). Cognitive informatics for biomedicine: Human computer interaction in healthcare. Cham: Springer.

    Book  Google Scholar 

  • Payne, T. H., Corley, S., Cullen, T. A., Gandhi, T. K., Harrington, L., Kuperman, G. J., et al. (2015). Report of the AMIA EHR-2020 Task Force on the status and future direction of EHRs. Journal of the American Medical Informatics Association, 22(5), 1102–1110.

    Article  PubMed  PubMed Central  Google Scholar 

  • Plaisant, C., Wu, J., Hettinger, A. Z., Powsner, S., & Shneiderman, B. (2015). Novel user interface design for medication reconciliation: An evaluation of Twinlist. Journal of the American Medical Informatics Association, 22(2), 340–349.

    Article  PubMed  PubMed Central  Google Scholar 

  • Polson, P. G., Lewis, C., Rieman, J., & Wharton, C. (1992). Cognitive walkthroughs: A method for theory-based evaluation of user interfaces. International Journal of Man-Machine Studies, 36(5), 741–773. https://doi.org/10.1016/0020-7373(92)90039-N.

    Article  Google Scholar 

  • Preece, J., Rogers, Y., Sharp, H., Benyon, D., Holland, S., & Carey, T. (1994). Human-computer interaction. Harlow: Addison-Wesley Longman Ltd.

    Google Scholar 

  • Preece, J., Rogers, Y., & Sharp, H. (2015). Interaction design: Beyond human-computer interaction. Chichester: John Wiley & Sons.

    Google Scholar 

  • Ribitzky, R., Sterling, M., & Bradley, V. (2010). EHR usability pain points survey Q4 2009. Paper presented at the Oral Presentation at the 2010 Annual HIMSS Conference & Exhibition.

    Google Scholar 

  • Rogers, Y. (2004). New theoretical approaches for human-computer interaction. Annual Review of Information Science and Technology, 38(1), 87–143.

    Article  Google Scholar 

  • Rogers, Y. (2012). HCI theory: Classical, modern, and contemporary. Synthesis Lectures on Human-Centered Informatics, 5(2), 1–129.

    Article  Google Scholar 

  • Roman, L. C., Ancker, J. S., Johnson, S. B., & Senathirajah, Y. (2017). Navigation in the electronic health record: A review of the safety and usability literature. Journal of Biomedical Informatics, 67, 69–79.

    Article  PubMed  Google Scholar 

  • Saitwal, H., Feng, X., Walji, M., Patel, V., & Zhang, J. (2010). Assessing performance of an electronic health record (EHR) using cognitive task analysis. International Journal of Medical Informatics, 79(7), 501–506.

    Article  PubMed  Google Scholar 

  • Schatzberg, M. (2008). Seeing the invisible, hearing silence, thinking the unthinkable: The advantages of ethnographic immersion. Paper presented at the APSA 2008 Annual Meeting, Hynes Convention Center, Boston, MA.

    Google Scholar 

  • Schumacher, R. M., & Lowry, S. Z. (2010). NIST guide to the processes approach for improving the usability of electronic health records. National Institute of Standards and Technology.

    Google Scholar 

  • Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., & Diakopoulos, N. (2016). Designing the user interface: Strategies for effective human-computer interaction. Hoboken: Pearson.

    Google Scholar 

  • Simmons, B., Lanuza, D., Fonteyn, M., Hicks, F., & Holm, K. (2003). Clinical reasoning in experienced nurses. Western Journal of Nursing Research, 25, 720–724.

    Article  Google Scholar 

  • Sittig, D. F., & Singh, H. (2010). A new sociotechnical model for studying health information technology in complex adaptive healthcare systems. Quality and Safety in Health Care, 19(Suppl 3), i68–i74.

    Article  PubMed  Google Scholar 

  • Unertl, K. M., Weinger, M. B., Johnson, K. B., & Lorenzi, N. (2009). Describing and modeling workflow and information flow in chronic disease care. Journal of the American Medical Informatics Association, 16(6), 826–836.

    Article  PubMed  PubMed Central  Google Scholar 

  • Unertl, K. M., Novak, L. L., Johnson, K. B., & Lorenzi, N. M. (2010). Traversing the many paths of workflow research: Developing a conceptual framework of workflow terminology through a systematic literature review. Journal of the American Medical Informatics Association, 17(3), 265–273.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vankipuram A, Patel VL, Traub S, Shortliffe EH. (2019). Overlaying Multiple Sources of Data to Identify Bottlenecks in Clinical Workflow. Journal of Biomedical Informatics: X. Feb 28:100004.

    Google Scholar 

  • Vaughn, S., Schumm, J. S., & Sinagub, J. (1996). Focus group interviews in education and psychology. Thousand Oaks: Sage.

    Book  Google Scholar 

  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.

    Article  Google Scholar 

  • Vicente, K. J. (1999). Cognitive work analysis. Mahwah: Lawrence Erlbaum Associates.

    Book  Google Scholar 

  • Wachter, S. B., Agutter, J., Syroid, N., Drews, F., Weinger, M. B., & Westenskow, D. (2003). The employment of an iterative design process to develop a pulmonary graphical display. Journal of the American Medical Informatics Association, 10(4), 363–372.

    Article  PubMed  PubMed Central  Google Scholar 

  • Weir, C. R., Hammond, K. W., Embi, P. J., Efthimiadis, E. N., Thielke, S. M., & Hedeen, A. N. (2011). An exploration of the impact of computerized patient documentation on clinical collaboration. International Journal of Medical Informatics, 80(8), e62–e71.

    Article  PubMed  Google Scholar 

  • Xie, A., & Carayon, P. (2015). A systematic review of human factors and ergonomics (HFE)-based healthcare system redesign for quality of care and patient safety. Ergonomics, 58(1), 33–49.

    Article  PubMed  Google Scholar 

  • Zahabi, M., Kaber, D. B., & Swangnetr, M. (2015). Usability and safety in electronic medical records interface design: A review of recent literature and guideline formulation. Human Factors: The Journal of the Human Factors and Ergonomics Society, 57(5), 805–834.

    Article  Google Scholar 

  • Zhang, J., Johnson, T. R., Patel, V. L., Paige, D. L., & Kubose, T. (2003). Using usability heuristics to evaluate patient safety of medical devices. Journal of Biomedical Informatics, 36(1), 23–30. https://doi.org/10.1016/S1532-0464(03)00060-1.

    Article  PubMed  Google Scholar 

  • Zhang, J., Patel, V. L., Johnson, T. R., & Shortliffe, E. H. (2004). A cognitive taxonomy of medical error. Journal of Biomedical Informatics, 37(3), 193–204.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Cognitive Studies in Medicine and Public Health, The New York Academy of Medicine, New York, NY, USA

    Vimla L. Patel

  2. Medical Informatics, School of Health Professions, SUNY Downstate Health Sciences University, Brooklyn, NY, USA

    David R. Kaufman

  3. Institute for Informatics, Washington University School of Medicine, St Louis, MO, USA

    Thomas Kannampallil

Authors
  1. Vimla L. Patel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David R. Kaufman
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thomas Kannampallil
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vimla L. Patel .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, Columbia University, New York, NY, USA

    Edward H. Shortliffe

  2. Informatics Institute, University of Alabama at Birmingham, Birmingham, AL, USA

    James J. Cimino

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Patel, V.L., Kaufman, D.R., Kannampallil, T. (2021). Human-Computer Interaction, Usability, and Workflow. In: Shortliffe, E.H., Cimino, J.J. (eds) Biomedical Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-58721-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58721-5_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58720-8

  • Online ISBN: 978-3-030-58721-5

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics

Search

Navigation