Encyclopedia of Behavioral Medicine

Living Edition
| Editors: Marc Gellman

Consumer Health Informatics

  • Robin AustinEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-6439-6_102006-1

Synonyms

Definition

Consumer health informatics (CHI), a specialty field of health informatics, focuses on education, practice, research, and policy specifically for the health consumer.

Description

Introduction

In the last decade, there has been an increased focus on consumer or patient engagement and empowerment in healthcare. As consumers are taking a more active role in their care, health information technology (HIT), specifically consumer-directed technologies, is being used to enable ability to communicate, share information, and collaborate across health settings (Lai et al. 2017). Patients with access to consumer-focused technologies can also increase access to care, allow more control of over their health information, possibly reduce barriers to care, and assist in self-management behaviors (Knight and Shea 2014). Consumer health informatics (CHI), a specialty field of health informatics, focuses on...

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References and Further Readings

  1. Abaidoo, B., & Larweh, B. T. (2014). Consumer health informatics: The application of ICT in improving patient-provider partnership for a better health care. Online Journal of Public Health Informatics, 6(2), e188.  https://doi.org/10.5210/ojphi.v6i2.4903.CrossRefPubMedPubMedCentralGoogle Scholar
  2. AMIA. (2018). Consumer health informatics. Retrieved from https://www.amia.org/applications-informatics/consumer-health-informatics
  3. Evans, B. (2016). Barbarians at the Gate: Consumer-driven health data commons and the Transformation of Citizen Science. American Journal of Law & Medicine, 70(12), 773–779.  https://doi.org/10.1097/OGX.0000000000000256.Prenatal.CrossRefGoogle Scholar
  4. Eysenbach, G. (2000). Consumer health informatics. British Medical Journal, 320(7251), 1713–1716.  https://doi.org/10.1136/bmj.320.7251.1713.CrossRefPubMedGoogle Scholar
  5. Flaherty, D., Hoffman-Goetz, L., & Arocha, J. F. (2015). What is consumer health informatics? A systematic review of published definitions. Informatics for Health & Social Care, 40(2), 91–112.  https://doi.org/10.3109/17538157.2014.907804.CrossRefGoogle Scholar
  6. Fox, S., & Duggan, M. (2012). Mobile health 2012 (p. 29). Washington, DC: Pew Internet. Retrieved from http://www.pewinternet.org/2012/11/08/mobile-health-2012/.Google Scholar
  7. Gibbons, M. C., Wilson, R. F., Samal, L., Lehman, C. U., Dickersin, K. (2009). Impact of consumer health informatics applications (Vol. 09). Retrieved from http://www.ncbi.nlm.nih.gov/books/NBK32638/.
  8. Hsueh, P.-Y., Cheung, Y.-K., Dey, S., Kim, K. K., Martin-Sanchez, F. J., Petersen, S. K., & Wetter, T. (2017). Added value from secondary use of person generated health data in consumer health informatics. IMIA Yearbook, 26(1), 1–12.  https://doi.org/10.15265/IY-2017-009.CrossRefGoogle Scholar
  9. Knight, E. P., & Shea, K. (2014). A patient-focused framework integrating self-management and informatics. Journal of Nursing Scholarship, 46(2), 91–97.  https://doi.org/10.1111/jnu.12059.CrossRefPubMedGoogle Scholar
  10. Lai, A. M., Hsueh, P.-Y. S., Choi, Y. K., & Austin, R. R. (2017). Present and future trends in consumer health informatics and patient-generated health data. Yearbook of Medical Informatics, 26(1), 152–159.  https://doi.org/10.15265/IY-2017-016.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems, 2(1), 3.  https://doi.org/10.1186/2047-2501-2-3.CrossRefPubMedPubMedCentralGoogle Scholar
  12. Rainie, L., & Anderson, J. (2017). The internet of things connectivity binge: What are the implications? Pew Internet, (June). Retrieved from http://www.pewinternet.org/2017/06/06/the-internet-of-things-connectivity-binge-what-are-the-implications/
  13. Ramsey, I., Corsini, N., Peters, M. D. J., & Eckert, M. (2017). A rapid review of consumer health information needs and preferences. Patient Education and Counseling, 100(9), 1634–1642.  https://doi.org/10.1016/j.pec.2017.04.005.CrossRefPubMedGoogle Scholar
  14. Steinhubl, S. R., Muse, E. D., Topol, E. J., & Jolla, L. (2016). The emerging field of mobile health. Science Translation Medicine, 7(283), 1–12.  https://doi.org/10.1126/scitranslmed.aaa3487.The.CrossRefGoogle Scholar
  15. Woods, S. S., Evans, N. C., & Frisbee, K. L. (2016). Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications. Journal of the American Medical Informatics Association, 23(3), 491–495.  https://doi.org/10.1093/jamia/ocv199.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of NursingUniversity of MinnesotaMinneapolisUSA

Section editors and affiliations

  • Emily Lattie
    • 1
  1. 1.Center for Behavioral Intervention TechnologiesNorthwestern UniversityChicagoUSA