Published on in Vol 7, No 12 (2019): December

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Journals

  1. Onnela J. Opportunities and challenges in the collection and analysis of digital phenotyping data. Neuropsychopharmacology 2021;46(1):45 View
  2. Shan R, Ding J, Weng D, Spaulding E, Wongvibulsin S, Lee M, Demo R, Marvel F, Martin S. Early blood pressure assessment after acute myocardial infarction: Insights using digital health technology. American Journal of Preventive Cardiology 2020;3:100089 View
  3. Bayoumy K, Gaber M, Elshafeey A, Mhaimeed O, Dineen E, Marvel F, Martin S, Muse E, Turakhia M, Tarakji K, Elshazly M. Smart wearable devices in cardiovascular care: where we are and how to move forward. Nature Reviews Cardiology 2021;18(8):581 View
  4. Marvel F, Spaulding E, Lee M, Yang W, Demo R, Ding J, Wang J, Xun H, Shah L, Weng D, Carter J, Majmudar M, Elgin E, Sheidy J, McLin R, Flowers J, Vilarino V, Lumelsky D, Bhardwaj V, Padula W, Shan R, Huynh P, Wongvibulsin S, Leung C, Allen J, Martin S. Digital Health Intervention in Acute Myocardial Infarction. Circulation: Cardiovascular Quality and Outcomes 2021;14(7) View
  5. Malow B, Galion A, Lu F, Kennedy N, Lawrence C, Tassone A, O’Neal L, Wilson T, Parker R, Harris P, Neumeyer A. A REDCap-based model for online interventional research: Parent sleep education in autism. Journal of Clinical and Translational Science 2021;5(1) View
  6. Patel R, Ding J, Marvel F, Shan R, Plante T, Blaha M, Post W, Martin S. Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access: MESA (Multi‐Ethnic Study of Atherosclerosis). Journal of the American Heart Association 2022;11(17) View
  7. Sharma P, Sinicrope A, Sinicrope P, Brockman T, Reinicke N, West I, Wiepert L, Glasgow A, Sangaralingham L, Holland A, Patten C. Patient Telemedicine Perceptions During the COVID-19 Pandemic Within a Multi-State Medical Institution: Qualitative Study. JMIR Formative Research 2022;6(5):e37012 View
  8. Javaid A, Zghyer F, Kim C, Spaulding E, Isakadze N, Ding J, Kargillis D, Gao Y, Rahman F, Brown D, Saria S, Martin S, Kramer C, Blumenthal R, Marvel F. Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology. American Journal of Preventive Cardiology 2022;12:100379 View
  9. Gautam N, Ghanta S, Mueller J, Mansour M, Chen Z, Puente C, Ha Y, Tarun T, Dhar G, Sivakumar K, Zhang Y, Halimeh A, Nakarmi U, Al-Kindi S, DeMazumder D, Al’Aref S. Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications. Diagnostics 2022;12(12):2964 View
  10. Bhardwaj V, Spaulding E, Marvel F, LaFave S, Yu J, Mota D, Lorigiano T, Huynh P, Shan R, Yesantharao P, Lee M, Yang W, Demo R, Ding J, Wang J, Xun H, Shah L, Weng D, Wongvibulsin S, Carter J, Sheidy J, McLin R, Flowers J, Majmudar M, Elgin E, Vilarino V, Lumelsky D, Leung C, Allen J, Martin S, Padula W. Cost-effectiveness of a Digital Health Intervention for Acute Myocardial Infarction Recovery. Medical Care 2021;59(11):1023 View
  11. Seneviratne M, Connolly S, Martin S, Parakh K. Grains of Sand to Clinical Pearls: Realizing the Potential of Wearable Data. The American Journal of Medicine 2023;136(2):136 View
  12. Epstein J, Lkhagvajav Z, Young T, Bertram A, Yeh H, Taylor C. Will the Doctor “See” You Now? The Development and Implementation of a Targeted Telemedicine System for Primary Care. ACI Open 2023;07(02):e71 View
  13. Isakadze N, Kim C, Marvel F, Ding J, MacFarlane Z, Gao Y, Spaulding E, Stewart K, Nimbalkar M, Bush A, Broderick A, Gallagher J, Molello N, Commodore‐Mensah Y, Michos E, Dunn P, Hanley D, McBee N, Martin S, Mathews L. Rationale and Design of the mTECH‐Rehab Randomized Controlled Trial: Impact of a Mobile Technology Enabled Corrie Cardiac Rehabilitation Program on Functional Status and Cardiovascular Health. Journal of the American Heart Association 2024;13(2) View
  14. Avoke D, Elshafeey A, Weinstein R, Kim C, Martin S. Digital Health in Diabetes and Cardiovascular Disease. Endocrine Research 2024;49(3):124 View
  15. Ivanovska O, Tyravska O, Shtepa O, Meleha K, Fedorenko T. Technological innovations in cardiac rehabilitation: effectiveness and impact on patient's quality of life. Salud, Ciencia y Tecnología 2024;4:1329 View
  16. Martin K, Peh R, Tembo M, Mavodza C, Doyle A, Dziva Chikwari C, Dauya E, Bandason T, Azizi S, Simms V, Ferrand R. Factors Associated With the Use of Digital Technology Among Youth in Zimbabwe: Findings From a Cross-Sectional Population-Based Survey. Journal of Medical Internet Research 2024;26:e52670 View
  17. Grant J, Javaid A, Carrick R, Koester M, Kassamali A, Kim C, Isakadze N, Wu K, Blaha M, Whelton S, Arbab-Zadeh A, Orringer C, Blumenthal R, Martin S, Marvel F. Digital health innovation and artificial intelligence in cardiovascular care: a case-based review. npj Cardiovascular Health 2024;1(1) View
  18. Harky A, Patel R, Yien M, Khaled A, Nguyen D, Roy S, Zeinah M. Risk management of patients with multiple CVDs: what are the best practices?. Expert Review of Cardiovascular Therapy 2024:1 View

Books/Policy Documents

  1. Marvel F, Huynh P, Martin S. Precision Medicine in Cardiovascular Disease Prevention. View