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Personal Health Informatics

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Biomedical Informatics

Abstract

The role of people and their caregivers in the healthcare system has greatly expanded in the past two decades, and continues to expand, making more pervasive the impact of biomedical informatics on the person seeking information or care. This chapter introduces the important concept of personal health informatics, encompassing patient engagement, empowerment, activation, health information and decision-making, patient generated health data, the digital self, and the digital divide. We describe how the role of the person has evolved, and how personal health informatics broadly impacts both the person and the field of biomedical informatics--from tools such as Electronic Health Records (EHRs), clinical decision support, and phone-based apps, to subject areas such as data science, human computer interaction, and evaluation. We conclude this chapter by describing some of the future opportunities and challenges including industry’s role in personal health informatics, innovation, and the future of how personal health informatics will play a role in the different healthcare settings.

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Notes

  1. 1.

    Health CfA. A New Definition of Patient Engagement. What is Engagement and Why is it Important? 2010. Available from: 7 http://www.cfah.org/file/CFAH_Engagement_Behavior_Framework_current.pdf

  2. 2.

    O’Connor A, Stacey, D, Rovner, D, Holmes-Rovner, M, Tetroe, J, Llewellyn-Thomas, H, Entwistle, V., Tait, V, Rostom, A, Fiset, V, Barry, M. Institute for Healthcare Improvement: Patient decision aids for balancing the benefits and harms of health care options: A systematic review and meta-analysis 2018 [cited 2018 June 22]. Available from: 7 http://www.ihi.org/resources/Pages/Publications/PatientDecisionAidsforBalancingBenefitsHarmsofHealthCareOptions.aspx

  3. 3.

    Technology OotNCfHI. Conceptualizing a Data Infrastructure for the Capture, Use, and Sharing of Patient-Generated Health Data in Care Delivery and Research through 2024, 2018. Available from: 7 https://www.healthit.gov/sites/default/files/onc_pghd_final_white_paper.pdf

  4. 4.

    Pew Research Center. Smartphone ownership is growing rapidly around the world, but not always equally. Available from: 7 https://www.pewresearch.org/global/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally/. Accessed November 9, 2019.

  5. 5.

    Google Official Blog. An update on Google Health and Google PowerMeter. Available at: 7 https://googleblog.blogspot.com/2011/06/update-on-google-health-and-google.html. Accessed November 9, 2019.

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Authors and Affiliations

  1. The Department of Internal Medicine, The Ohio State University, Columbus, OH, USA

    Robert M. Cronin

  2. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA

    Robert M. Cronin

  3. Khoury College of Computer Science & Bouve College of Health Sciences, Northeastern University, Boston, MA, USA

    Holly Jimison

  4. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA

    Kevin B. Johnson

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  1. Robert M. Cronin
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  2. Holly Jimison
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Correspondence to Robert M. Cronin .

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Editors and Affiliations

  1. Biomedical Informatics, Columbia University, New York, NY, USA

    Edward H. Shortliffe

  2. Informatics Institute, University of Alabama at Birmingham, Birmingham, AL, USA

    James J. Cimino

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Cronin, R.M., Jimison, H., Johnson, K.B. (2021). Personal Health Informatics. In: Shortliffe, E.H., Cimino, J.J. (eds) Biomedical Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-58721-5_11

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