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Emerging Patient-Driven Health Care Models: An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self-Tracking

Author

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  • Melanie Swan

    (Research Associate, MS Futures Group, P.O. Box 61258, Palo Alto, CA 94306, USA)

Abstract

A new class of patient-driven health care services is emerging to supplement and extend traditional health care delivery models and empower patient self-care. Patient-driven health care can be characterized as having an increased level of information flow, transparency, customization, collaboration and patient choice and responsibility-taking, as well as quantitative, predictive and preventive aspects. The potential exists to both improve traditional health care systems and expand the concept of health care though new services. This paper examines three categories of novel health services: health social networks, consumer personalized medicine and quantified self-tracking.

Suggested Citation

  • Melanie Swan, 2009. "Emerging Patient-Driven Health Care Models: An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self-Tracking," IJERPH, MDPI, vol. 6(2), pages 1-34, February.
    • Handle: RePEc:gam:jijerp:v:6:y:2009:i:2:p:492-525:d:3939
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    Citations

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    Cited by:

    1. Yingjie Lu & Xinwei Wang & Lin Su & Han Zhao, 2023. "Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities," Mathematics, MDPI, vol. 11(21), pages 1-20, October.
    2. Yumei Li & Xiangbin Yan, 2020. "How Could Peers in Online Health Community Help Improve Health Behavior," IJERPH, MDPI, vol. 17(9), pages 1-17, April.
    3. Carlos de las Heras-Pedrosa & Dolores Rando-Cueto & Carmen Jambrino-Maldonado & Francisco J. Paniagua-Rojano, 2020. "Exploring the Social Media on the Communication Professionals in Public Health. Spanish Official Medical Colleges Case Study," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    4. Martin Wiesner & Daniel Pfeifer, 2014. "Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges," IJERPH, MDPI, vol. 11(3), pages 1-28, March.
    5. Chuan-Jun Su & Chang-Yu Chiang, 2013. "IAServ: An Intelligent Home Care Web Services Platform in a Cloud for Aging-in-Place," IJERPH, MDPI, vol. 10(11), pages 1-25, November.
    6. Lane Peterson Fronczek & Martin Mende & Maura L. Scott & Gergana Y. Nenkov & Anders Gustafsson, 2023. "Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers?," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1075-1097, September.
    7. Paul Dulaud & Ines Di Loreto & Denis Mottet, 2020. "Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles," IJERPH, MDPI, vol. 17(24), pages 1-22, December.
    8. Katharina Pilgrim & Sabine Bohnet-Joschko, 2022. "Donating Health Data to Research: Influential Characteristics of Individuals Engaging in Self-Tracking," IJERPH, MDPI, vol. 19(15), pages 1-12, August.
    9. Lane Peterson Fronczek & Martin Mende & Maura L. Scott, 2022. "From self‐quantification to self‐objectification? Framework and research agenda on consequences for well‐being," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(3), pages 1356-1374, September.
    10. Erzsébet Forczek & Péter Makra & Cecilia Sik Lanyi & Ferenc Bari, 2015. "The Internet as a New Tool in the Rehabilitation Process of Patients—Education in Focus," IJERPH, MDPI, vol. 12(3), pages 1-19, February.
    11. Bart Verhees & Kees Van Kuijk & Lianne Simonse, 2017. "Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices," IJERPH, MDPI, vol. 15(1), pages 1-16, December.
    12. Tobias Mettler & Jochen Wulf, 2020. "Health promotion with physiolytics: What is driving people to subscribe in a data-driven health plan," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
    13. Rubeis, Giovanni, 2023. "Liquid Health. Medicine in the age of surveillance capitalism," Social Science & Medicine, Elsevier, vol. 322(C).
    14. Jingyun Tang & Guang Yu & Xiaoxu Yao, 2020. "A Comparative Study of Online Depression Communities in China," IJERPH, MDPI, vol. 17(14), pages 1-13, July.

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