This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (599) Telehealth and Telemonitoring (1827) Voice Assistants (47) Cardiovascular Disease Prevention (161)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20456, first published .
Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study

Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study

Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study

Authors of this article:

Małgorzata Kowalska1 Author Orcid Image ;   Aleksandra Gładyś2 Author Orcid Image ;   Barbara Kalańska-Łukasik3 Author Orcid Image ;   Monika Gruz-Kwapisz3 Author Orcid Image ;   Wojciech Wojakowski3 Author Orcid Image ;   Tomasz Jadczyk3, 4, 5 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Journals

  1. Jadczyk T, Wojakowski W, Tendera M, Henry T, Egnaczyk G, Shreenivas S. Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology. Journal of Medical Internet Research 2021;23(5):e22959 View
  2. Gouda P, Ganni E, Chung P, Randhawa V, Marquis-Gravel G, Avram R, Ezekowitz J, Sharma A. Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials. Current Cardiovascular Risk Reports 2021;15(8) View
  3. Lyzwinski L, Elgendi M, Menon C. Conversational Agents and Avatars for Cardiometabolic Risk Factors and Lifestyle-Related Behaviors: Scoping Review. JMIR mHealth and uHealth 2023;11:e39649 View
  4. Kalańska-Łukasik B, Gładyś A, Jadczyk T, Gruz-Kwapisz M, Wojakowski W, Kowalska M. Readiness for Telemedical Services in Patients With Cardiovascular Diseases: Cross-sectional Study. JMIR Formative Research 2022;6(10):e33769 View
  5. Ionov M, Konradi A. Telehealth in hypertensive patients: to whom, how and for how long?. "Arterial’naya Gipertenziya" ("Arterial Hypertension") 2022;28(2):108 View
  6. Cuadra A, Breuch J, Estrada S, Ihim D, Hung I, Askaryar D, Hassanien M, Fessele K, Landay J. Digital Forms for All: A Holistic Multimodal Large Language Model Agent for Health Data Entry. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(2):1 View
  7. Kassaw M, Amare G, Shitu K, Tilahun B, Assaye B. Willingness to use remote patient monitoring among cardiovascular patients in a resource-limited setting: a cross-sectional study. Frontiers in Digital Health 2024;6 View
  8. Usir E, Ahmad A, Mat N, Ahmad N. The influence of emotional intelligence on knowledge, perception and readiness on Telepharmacy. Currents in Pharmacy Teaching and Learning 2025;17(1):102214 View
  9. Merkel S, Schorr S. Identification of Use Cases, Target Groups, and Motivations Around Adopting Smart Speakers for Health Care and Social Care Settings: Scoping Review. JMIR AI 2025;4:e55673 View
  10. Bramanti A, Corallo A, Clemente G, Greco L, Garofano M, Giordano M, Pascarelli C, Mitrano G, Di Palo M, Di Spirito F, Amato M, Bartolomeo M, Del Sorbo R, Ciccarelli M, Bramanti P, Ritrovato P. Exploring the Role of Voice Assistants in Managing Noncommunicable Diseases: A Systematic Review on Clinical, Behavioral Outcomes, Quality of Life, and User Experiences. Healthcare 2025;13(5):517 View