Designing a Smart Watch Interface for a Notification and Communication System for Nursing Homes

  • Haneen Ali
  • Huiyang LiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9754)


Among the unique challenges faced by nursing homes is poor communication and notification. An analysis of the work system showed that a mobile device-based system that rely less on auditory display is promising. We proposed a smartwatch interface as part of communication and notification system for nursing homes. A user-centered design approach was adopted in the design and evaluation of the interface. The application integrates call light system, chair and bed alarms, wander guard, and calling for help functions and uses multi-modal interfaces to provide informative alarms for nursing home staff. Through a process of iterative testing and refinement with prospective users (through cognitive walkthrough, heuristic evaluation and usability testing of low-fidelity prototypes), a final design was well received by nursing experts in geriatric care and at local nursing homes. The effects of the system will be tested in the future using a high-fidelity prototype through simulation experiment.


Nursing homes Smartwatch Interface 



The authors would like to thank the participants for their time and help. We would also like to thank Dr. Ann Myers and the administrative staff at the nursing homes for their advice and support. This work was supported by Binghamton University’s Interdisciplinary Collaboration Grants (Project No. 1119297).


  1. 1.
    Vincent, G.K., Velkoff, V.A.: The next four decades: The older population in the United States: 2010 to 2050. Current population reports P25-1138. US Census Bureau, Washington (2010)Google Scholar
  2. 2.
    Decker, F.H.: Nursing homes, 1977–99: What has Changed, What has not? National Center for Health Statistics, Hyattsville (2005)Google Scholar
  3. 3.
    Wagner, L., McDonald, S., Castle, N.: Relationship between nursing home safety culture and joint commission accreditation. Jt. Comm. J. Qual. Patient Saf. 38(5), 207–215 (2012)Google Scholar
  4. 4.
    Rubenstein, L.Z., Josephson, K.R., Robbins, A.S.: Falls in the nursing home. Ann. Intern. Med. 121, 442–451 (1994)CrossRefGoogle Scholar
  5. 5.
    Rubenstein, L.Z., Robbins, A.S., Schulman, B.L., Rosado, J., Osterweil, D., Josephson, K.R.: Falls and instability in the elderly. J. Am. Geriatr. Soc. 36, 266–278 (1988)CrossRefGoogle Scholar
  6. 6.
    Chung, G.: Nursing assistant views on nursing home regulatory inspection knowledge and attitudes regarding the state nursing home survey. J. Appl. Gerontol. 31(3), 336–353 (2012)CrossRefGoogle Scholar
  7. 7.
    Wu, R.C., Tran, K., Lo, V., O’Leary, K.J., Morra, D., Quan, S.D., Perrier, L.: Effects of clinical communication interventions in hospitals: a systematic review of information and communication technology adoptions for improved communication between clinicians. Int. J. Med. Inf. 81(11), 723–732 (2012)CrossRefGoogle Scholar
  8. 8.
    Richardson, J.E., Ash, J.S.: The effects of hands free communication devices on clinical communication: balancing communication access needs with user control. In: AMIA Annual Symposium Proceedings, pp. 621–625 (2008)Google Scholar
  9. 9.
    Richardson, J.E., Shah-Hosseini, S., Fiadjoe, J.E., Ash, J.S., Rehman, M.A.: The effects of a hands-free communication device system in a surgical suite. J. Am. Med. Inf. Assoc. JAMIA 18(1), 70–72 (2011)CrossRefGoogle Scholar
  10. 10.
    Yang, Y., Rivera, A.J.: An observational study of hands-free communication devices mediated interruption dynamics in a nursing work system. Health Policy Technol. 4(4), 378–386 (2015)CrossRefGoogle Scholar
  11. 11.
    Breslin, S., Greskovich, W., Turisco, F.: Wireless technology improves nursing workflow and communications. Comput. Inf. Nurs. CIN 22(5), 275–281 (2004)CrossRefGoogle Scholar
  12. 12.
    Jacques, P.S., France, D.J., Pilla, M., Lai, E., Higgins, M.S.: Evaluation of a hands-free wireless communication device in the perioperative environment. Telemed. J. E Health 12(1), 42–49 (2006)CrossRefGoogle Scholar
  13. 13.
    Vandenkerkhof, E.G., Hall, S., Wilson, R., Gay, A., Duhn, L.: Evaluation of an innovative communication technology in an acute care setting. Comput. Inf. Nurs. 27(4), 254–262 (2009)CrossRefGoogle Scholar
  14. 14.
    Aziz, O., Panesar, S.S., Netuveli, G., Paraskeva, P., Sheikh, A., Darzi, A.: Handheld computers and the 21st century surgical team: a pilot study. BMC Med. Inf. Decis. Making 5, 28 (2005)CrossRefGoogle Scholar
  15. 15.
    O’Connor, C., Friedrich, J.O., Scales, D.C., Adhikari, N.K.J.: The use of wireless e-mail to improve healthcare team communication. J. Am. Med. Inf. Assoc. JAMIA 16(5), 705–713 (2009)CrossRefGoogle Scholar
  16. 16.
    Wu, R.C., Morra, D., Quan, S., Lai, S., Zanjani, S., Abrams, H., Rossos, P.G.: The use of smartphones for clinical communication on internal medicine wards. J. Hosp. Med. 5(9), 553–559 (2010)CrossRefGoogle Scholar
  17. 17.
    Stegemann, S.: The future of pharmaceutical manufacturing in the context of the scientific, social, technological and economic evolution. Eur. J. Pharm. Sci.
  18. 18.
    Bradway, M., Årsand, E., Grøttland, A.: Mobile health: empowering patients and driving change. Trends Endocrinol. Metab. 26(3), 114–117 (2015)CrossRefGoogle Scholar
  19. 19.
    Varga, N., Bokor, L., Takács, A.: Context-aware IPv6 flow mobility for multi-sensor based mobile patient monitoring and tele-consultation. Procedia Comput. Sci. 40, 222–229 (2014)CrossRefGoogle Scholar
  20. 20.
    Mazilu, S., Blanke, U., Calatroni, A., Gazit, E., Hausdorff, J.M., Tröster, G.: The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson’s disease. Pervasive Mob. Comput.
  21. 21.
    Johnson, K.: Literature review: an investigation into the usefulness of the smart watch interface for university students and the types of data they would require (2014). (2014)
  22. 22.
    Li, H., Ali, H.: Human factors considerations in the design of falls prevention technologies for nursing homes: a case study. In: Proceedings of 2015 Symposium on Human Factors and Ergonomics in Health Care (2015)Google Scholar
  23. 23.
    Ali, H., Li, H.: Developing a fall prevention system for nursing homes. In: Proceedings of Human Factors and Ergonomics Society’s 59th Annual Meeting. Human Factors and Ergonomics Society, Los Angeles (2015)Google Scholar
  24. 24.
    Smith-Jackson, T.L.: Cognitive walkthrough method (CWM). In: Stanton, N., Hedge, A., Brookhuis, K., Salas, E., Hendrik, H. (eds.) Handbook of Human Factors and Ergonomics Methods. CRC Press, Boca Raton (2005)Google Scholar
  25. 25.
    Castle, N.G., Wagner, L.M., Ferguson, J.C., Handler, S.M.: Nursing home deficiency citations for safety. J. Aging Soc. Policy 23, 34–57 (2011)CrossRefGoogle Scholar
  26. 26.
    Gruneir, A., Mor, V.: Nursing home safety: current issues and barriers to improvement. Ann. Rev. Publ. Health 29, 369–382 (2008)CrossRefGoogle Scholar
  27. 27.
  28. 28.
    American Sentinel University: Is Wearable Technology the Future of Nursing?
  29. 29.
    Apple shows off AirStrip’s vital sign monitoring Apple Watch app.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.State University of New York at BinghamtonBinghamtonUSA

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