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Connected Health Technology for Cardiovascular Disease Prevention and Management

  • Shannon Wongvibulsin
  • Seth S. Martin
  • Steven R. Steinhubl
  • Evan D. MuseEmail author
State-of-the-Art Informatics (J Singh, Section Editor)
Part of the following topical collections:
  1. Topical Collection on State-of-the-Art Informatics

Abstract

Purpose of the review

Advances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation.

Recent findings

Initial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows.

Summary

Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.

Keywords

Mobile health Digital medicine Innovation 

Notes

Funding information

Shannon Wongvibulsin is supported by the Johns Hopkins School of Medicine Medical Scientist Training Program (National Institutes of Health: Institutional Predoctoral Training Grant - T32), National Institutes of Health: Ruth L. Kirschstein Individual Predoctoral NRSA for MD/PhD: F30 Training Grant, and the Johns Hopkins Individualized Health (inHealth) Initiative. Evan D. Muse and Steven R. Steinhubl are supported by the NCATS/NIH of The Scripps Research Institute (UL1TR002550).

Compliance with Ethical Standards

Conflict of Interest

Shannon Wongvibulsin, Steven R. Steinhubl, and Evan D. Muse each declare no potential conflicts of interest.

Seth S. Martin serves on the scientific advisory boards of Amgen, Sanofi, Regeneron, Esperion, Novo Nordisk, Quest Diagnostics, and Akcea Therapeutics and reports grants from Apple, Google, iHealth, Nokia, Maryland Innovation Initiative, American Heart Association, Aetna Foundation, P J Schafer Memorial Fund, and David and June Trone Family Foundation. Dr. Martin reports a patent pending filed by Johns Hopkins as a co-inventor for a method of LDL-C estimation. Dr. Martin is a founder of and holds equity in Corrie Health, which intends to further develop the platform. This arrangement has been reviewed and approved by the Johns Hopkins University in accordance with its conflict of interest policies.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

References and Recommended Reading

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Copyright information

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

Authors and Affiliations

  • Shannon Wongvibulsin
    • 1
  • Seth S. Martin
    • 2
  • Steven R. Steinhubl
    • 3
  • Evan D. Muse
    • 3
    • 4
    Email author
  1. 1.Department of Biomedical EngineeringJohns Hopkins University, Johns Hopkins University School of MedicineBaltimoreUSA
  2. 2.Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of MedicineJohns Hopkins University School of MedicineBaltimoreUSA
  3. 3.Scripps Research Translational InstituteSan DiegoUSA
  4. 4.Division of Cardiovascular DiseaseScripps Clinic-Scripps HealthSan DiegoUSA

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