Advertisement

Opportunities for Pervasive Computing in Chronic Cancer Care

  • Gillian R. Hayes
  • Gregory D. Abowd
  • John S. Davis
  • Marion L. Blount
  • Maria Ebling
  • Elizabeth D. Mynatt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5013)

Abstract

While changing from a predominantly terminal to an increasingly chronic condition, cancer is still a growing concern. Accompanying this change are new opportunities for technologies to support patients, their caregivers, and clinicians. In this paper, we present an in-depth study of cancer communities. From this exploration, we define and describe the concept of a personal cancer journey. We examine lessons and design opportunities across this journey for sensing and context-awareness and capture and access applications.

Keywords

Healthcare cancer qualitative methods sensing applications 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Unites States Cancer Statistics, 2002 Incidence and Mortality, U.S. Department of Health and Human Services, Editor. Centers for Disease Control and Prevention (2005)Google Scholar
  2. 2.
    Abowd, G.D., Mynatt, E.D.: Charting Past, Present and Future Research in Ubiquitous Computing. ACM Transactions on Computer-Human Interaction 7(1), 29–58 (2000)CrossRefGoogle Scholar
  3. 3.
    Abowd, G.D., et al.: Challenges and Opportunities for Collaboration Technologies for Chronic Care Management. In: HCIC 2006 (2006)Google Scholar
  4. 4.
    Association, A.T.: ATA’s Federal Policy Recommendations for Home Telehealth and Remote Monitoring, in ATA Public Policy White Papers (2006)Google Scholar
  5. 5.
    Bardram, J.: The Personal Medical Unit – A Ubiquitous Computing Infrastructure for Personal Pervasive Healthcare. In: UbiHealth 2004 (2004)Google Scholar
  6. 6.
    Batra, V., et al.: Remote Healthcare Monitoring using Personal Care Connect. IBM Systems Journal (2006)Google Scholar
  7. 7.
    Consolvo, S., et al.: Computer-Supported Coordinated Care. In: UbiHealth 2003 (2003)Google Scholar
  8. 8.
    Consolvo, S., et al.: The CareNet Display: Lessons Learned from an In Home Evaluation of an Ambient Display. In: Davies, N., Mynatt, E.D., Siio, I. (eds.) UbiComp 2004. LNCS, vol. 3205, pp. 1–17. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Corbin, J.M.: The Corbin and Strauss Chronic Illness Trajectory model: an update. Sch. Inq. Nurs. Pract. 12(1), 33–41 (1998)Google Scholar
  10. 10.
    Dawe, M.: Desperately seeking simplicity: how young adults with cognitive disabilities and their families adopt assistive technologies. In: Proc. CHI 2006, pp. 1143–1152. ACM Press, New York (2006)Google Scholar
  11. 11.
    Dey, A.K.: Understanding and Using Context. PUC 5(1), 4–7 (2001)MathSciNetGoogle Scholar
  12. 12.
    Eng, T.R.: Emerging Technologies for Cancer Prevention and Other Population Health Challenges. Journal of Medical Internet Research 7(3), e30 (2006)CrossRefGoogle Scholar
  13. 13.
    Eysenbach, G.: The Impact of the Internet on Cancer Outcomes. CA: A Cancer Journal for Clinicians 53, 356–371 (2006)Google Scholar
  14. 14.
    Eysenbach, G., et al.: Shopping around the internet today and tomorrow: towards the millennium of cybermedicine. British Medical Journal 319(7220) (1999)Google Scholar
  15. 15.
    Fogarty, J., Hudson, S.E., Atkeson, C.G., Avrahami, D., Forlizzi, J., Kiesler, S., Lee, J.C., Yang, J.: Predicting Human Interruptibility with Sensors. ACM Transactions on Computer-Human Interaction (TOCHI) 12(1), 119–146 (2005)CrossRefGoogle Scholar
  16. 16.
    Holtzblatt, K., Jones, S.: Contextual Inquiry: A Participatory Technique for System Design. In: Namioka, A., Schuler, D. (eds.) Participatory Design: Principles and Practice. Erlbaum, Hillsdale (1993)Google Scholar
  17. 17.
    IMPAC Medical Systems, The West Clinic Interfaces IMPAC with the SOS Patient Care Monitor (2006), http://biz.yahoo.com/prnews/060724/sfm052.html?.v=59
  18. 18.
    Mamykina, L., et al.: Investigating health management practices of individuals with diabetes. In: Proc. CHI 2006, pp. 927–936. ACM Press, New York (2006)Google Scholar
  19. 19.
    McEwen, B.S.: Protective and Damaging Effects of Stress Mediators. The New England Journal of Medicine 338, 171–179 (1998)CrossRefGoogle Scholar
  20. 20.
    Morris, M., Intille, S.S., Beaudin, J.: Embedded Assessment: Overcoming Barriers to Early Detection with Pervasive Computing. In: Gellersen, H.-W., Want, R., Schmidt, A. (eds.) PERVASIVE 2005. LNCS, vol. 3468, pp. 333–346. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  21. 21.
    Nagel, K.S., Hudson, J.M., Abowd, G.D.: Predictors of availability in home life context-mediated communication. In: Proceedings of CSCW 2004, ACM Press, New York (2004)Google Scholar
  22. 22.
    Rowan, J., Mynatt, E.D.: Digital Family Portrait Field Trial: Support for Aging in Place. In: Proc. CHI 2005, ACM Press, New York (2005)Google Scholar
  23. 23.
    Spradley, J.: The Ethnographic Interview. Holt, Rinehart and Winston, New York (1979)Google Scholar
  24. 24.
    Strauss, A.L., Corbin, J.M.: Basics of qualitative research: grounded theory procedures and techniques. Sage Publications, Newbury Park (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Gillian R. Hayes
    • 1
  • Gregory D. Abowd
    • 2
  • John S. Davis
    • 3
  • Marion L. Blount
    • 3
  • Maria Ebling
    • 2
  • Elizabeth D. Mynatt
    • 2
  1. 1.Department of Informatics, Bren School of ICSUniversity of California, IrvineIrvineUSA
  2. 2.GVU Center & School of Interactive ComputingGeorgia Institute of TechnologyAtlantaUSA
  3. 3.T.J. Watson Research CenterIBM Research HawthorneNYUSA

Personalised recommendations