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

Knowledge Translation and Implementation Science (406) Adoption and Change Management of eHealth Systems (729) Artificial Intelligence (1408) Focus Groups and Qualitative Research for Human Factors Research (870) Organizational Issues (158) Clinical Informatics (1042) E-Health Policy and Health Systems Innovation (239)

Published on in Vol 25 (2023)

This is a member publication of New York University, NYU Wide membership, New York, NY, United States

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32962, first published .
The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice

The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice

The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice

Authors of this article:

Iredia M Olaye1, 2 Author Orcid Image ;   Azizi A Seixas3 Author Orcid Image
Article Authors Cited by (10) Tweetations (15) Metrics

Journals

  1. Nagendran M, Festor P, Komorowski M, Gordon A, Faisal A. Quantifying the impact of AI recommendations with explanations on prescription decision making. npj Digital Medicine 2023;6(1) View
  2. Al-Qerem W, Eberhardt J, Jarab A, Al Bawab A, Hammad A, Alasmari F, Alazab B, Husein D, Alazab J, Al-Beool S. Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan. BMC Medical Informatics and Decision Making 2023;23(1) View
  3. Weimar S, Martjan R, Terzidis O. Conceptualizing the landscape of digital health entrepreneurship: a systematic review and research agenda. Management Review Quarterly 2024 View
  4. Fernandes S, von Gunten A, Verloo H. Using AI-Based Technologies to Help Nurses Detect Behavioral Disorders: Narrative Literature Review. JMIR Nursing 2024;7:e54496 View
  5. Soukup T, Dean Franklin B. Quality, safety and artificial intelligence. BMJ Quality & Safety 2024;33(6):406 View
  6. Bienefeld N, Keller E, Grote G. Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation. Journal of Medical Internet Research 2024;26:e50130 View
  7. Sriharan A, Sekercioglu N, Mitchell C, Senkaiahliyan S, Hertelendy A, Porter T, Banaszak-Holl J. Leadership for AI Transformation in Health Care Organization: Scoping Review. Journal of Medical Internet Research 2024;26:e54556 View
  8. REGINA ROY , ANIKET , FAZULU RAHIMAN , VIJAYAMATHY . KNOWLEDGE, ATTITUDES, AND PRACTICES REGARDING CHATBOTS AMONG HEALTHCARE PROFESSIONALS IN A TERTIARY CARE HOSPITAL. Asian Journal of Pharmaceutical and Clinical Research 2024:34 View

Books/Policy Documents

  1. Kaur J. Fostering Innovation in Venture Capital and Startup Ecosystems. View
  2. Greco M, Bose I, Angelotti G. Nutrition, Metabolism and Kidney Support. View