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Digital Health

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Precision Medicine in Cardiovascular Disease Prevention

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Abstract

The optimal approach to cardiovascular disease detection, management, and prevention is being redefined by digital health interventions. Rapid digital technology advances have provided consumers with access to their own health metrics and biomarkers. In this chapter, we discuss the role of biosensors, biomarkers, and software that can generate, gather, and share data with clinicians to inform personalized health coaching. As the digital health technology field continues to advance, allowing patients to track and share health metrics with clinicians, there is abundant potential to apply principles of precision medicine, strengthen the patient-clinician relationship, and develop individualized care plans. Furthermore, we illustrate how cardiovascular disease could be identified and intervened upon earlier, and how care can be personalized to the patient to drive their empowerment to execute self-management actions. At the healthcare systems level, we provide insight for how digital health can be positioned with stakeholder collaboration (clinicians, policymakers, payers, insurers, and healthcare administrators) to improve adoption across healthcare settings.

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Authors and Affiliations

  1. Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Johns Hopkins Hospital, 600 N. Wolfe St., Carnegie 568, Baltimore, MD, 21287, US

    Francoise A. Marvel, Pauline P. Huynh & Seth S. Martin

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  1. Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA

    Seth S. Martin

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Marvel, F.A., Huynh, P.P., Martin, S.S. (2021). Digital Health. In: Martin, S.S. (eds) Precision Medicine in Cardiovascular Disease Prevention. Springer, Cham. https://doi.org/10.1007/978-3-030-75055-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-75055-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75054-1

  • Online ISBN: 978-3-030-75055-8

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