Skip to main content
SpringerLink
Log in
Book cover

Anticipation and Medicine pp 179–190Cite as

The Role of MHealth and Wearables for Anticipation in Medicine

  • Chapter
  • First Online:

  • 737 Accesses

Abstract

As the market for health-tracking wearable devices continues to expand, there is an emerging niche for healthcare applications, and data acquisition and usage. Within this area exists a wealth of clinically relevant data already collected from wearers, including physiological and lifestyle data. This information allows us to not only optimize current medical treatments and health planning, but also to expand preventive medicine by applying anticipation to medicine. We propose that much of the data collected through these wearable devices can be used to inform both patient and clinician of long-term physiological trends, and to anticipate potential onset of illnesses with a view to stemming their progression, or even mitigating their occurrence altogether. This paper highlights important issues within the health-wearable paradigm and presents upcoming applications of wearable technologies in medicine.

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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    By tracking the effects of aging and recording them on an individual’s Anticipatory Profile™ the intention is to develop means for maintaining anticipation in the aging. See: The anticipatory profile. An attempt to describe anticipation as process, http://www.tandfonline.com/doi/abs/10.1080/03081079.2011.622093.

References

  1. Gaglani, S.M., Topol, E.J.: iMedEd: the role of mobile health technologies in medical education. Acad. Med. 89(9), 1207–1209 (2014). doi:10.1097/ACM.0000000000000361

    Article  Google Scholar 

  2. Quinn, C.C., Clough, S.S., Minor, J.M. et al.: WellDoc™ mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction (2008)

    Google Scholar 

  3. Steinhubl, S.R., Muse, E.D., Topol, E.J.: Can mobile health technologies transform health care? JAMA 310, 2395–2396 (2013). doi:10.1001/jama.2013.281078

    Article  Google Scholar 

  4. Hooge, A. (ed.): Five predictions for the future of wearables. Smashingboxes.com (2015)

    Google Scholar 

  5. Nadin, M.: Can predictive computation reach the level of anticipatory computing? Int. J. Appl. Res. Inf. Technol. Comput. 5, 171–200 (2014). doi:10.5958/0975-8089.2014.00011.6

    Article  Google Scholar 

  6. Sullivan, J.E.: Clinical trial endpoints. FDA Clinical Investigator Training Course (2012)

    Google Scholar 

  7. John Hancock Introduces as Whole New Approach to Life Insurance in the U.S. That Rewards Customers for Healthy Living. PR Newswire (2015)

    Google Scholar 

  8. Lecklider, T. (ed.): Powering medical haute couture. Eval. Eng. (2015)

    Google Scholar 

  9. Marbury, D. (ed.): 10 Apple HealthKit mobile apps for physicians and their patients. Med. Econ. (2014)

    Google Scholar 

  10. Lang, M.B. (ed.): What if Apple were an ACO? HealthCare Purchasing News (2015)

    Google Scholar 

  11. Peek, S.T.M., Wouters, E.J.M., van Hoof, J., et al.: Factors influencing acceptance of technology for aging in place: a systematic review. Int. J. Med. Inf. 83, 235–248 (2014). doi:10.1016/j.ijmedinf.2014.01.004

    Article  Google Scholar 

  12. Dehzad, F., Hilhorst, C., de Bie, C., Claassen, E.: Adopting health apps, what’s hindering doctors and patients? Health (2014). doi:10.4236/health.2014.616256

    Google Scholar 

  13. What Does it Mean for FDA to “Classify” a Medical Device? Center for Devices, Health R

    Google Scholar 

  14. Lyons, E.J., Lewis, Z.H., Mayrsohn, B.G., Rowland, J.L.: Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. J. Med. Internet Res. 16(e192) (2014). doi:10.2196/jmir.3469

  15. Fogg, B.J. (ed.): What causes behavior change? (2015)

    Google Scholar 

  16. Gaglani, S.M. (ed.): A glimpse into the Smartphone physical. MedGadget (2013)

    Google Scholar 

  17. Gaglani, S.M., Batista, M.A.: The future of Smartphones in health care. Virtual Mentor 15, 947 (2013). doi:10.1001/virtualmentor.2013.15.11.stas1-1311

    Article  Google Scholar 

  18. Preventice announces commercial availability of BodyGuardian remote patient monitoring system. J. Innovations Card. Rhythm Manage. (2015)

    Google Scholar 

  19. Muhlestein, J.B.: QTC intervals can be assessed with the AliveCor heart monitor in patients on Dofetilide for atrial fibrillation. J. Electrocardiol. 48, 10–11 (2015). doi:10.1016/j.jelectrocard.2014.11.007

    Article  Google Scholar 

  20. Tarakji, K.G., Wazni, O.M., Callahan, T., et al.: Using a novel wireless system for monitoring patients after the atrial fibrillation ablation procedure: the iTransmit study. Heart Rhythm 12, 554–559 (2015). doi:10.1016/j.hrthm.2014.11.015

    Article  Google Scholar 

  21. Jabr, F.: Are we too close to making Gattaca a reality? In: Are We Too Close to Making Gattaca a Reality? (2013) http://blogs.scientificamerican.com/brainwaves/are-we-too-close-to-making-gattaca-a-reality/. Accessed 6 Sept 2015

Download references

Author information

Authors and Affiliations

  1. University of Arizona College of Medicine, Tucson, Arizona, USA

    Alice Ferng

  2. University of Melbourne School of Medicine, Melbourne, Australia

    Vishal Punwani

  3. Johns Hopkins School of Medicine, Baltimore, Maryland, USA

    Shiv Gaglani

Authors
  1. Alice Ferng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vishal Punwani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shiv Gaglani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Alice Ferng or Vishal Punwani .

Editor information

Editors and Affiliations

  1. antÉ—Institute for Research in Anticipatory Systems, University of Texas at Dallas, Richardson, Texas, USA

    Mihai Nadin

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ferng, A., Punwani, V., Gaglani, S. (2017). The Role of MHealth and Wearables for Anticipation in Medicine. In: Nadin, M. (eds) Anticipation and Medicine. Springer, Cham. https://doi.org/10.1007/978-3-319-45142-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-45142-8_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45140-4

  • Online ISBN: 978-3-319-45142-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation