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

Knowledge Translation and Implementation Science (581) Clinical Informatics (1455) E-Health Policy and Health Systems Innovation (373) Adoption and Change Management of eHealth Systems (966) Organizational Issues (239) Focus Groups and Qualitative Research for Human Factors Research (1319) Artificial Intelligence (2387)

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 (31) 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 2025;75(2):1619 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
  9. Stroud A, Anzabi M, Wise J, Barry B, Malik M, McGowan M, Sharp R. Toward Safe and Ethical Implementation of Health Care Artificial Intelligence: Insights From an Academic Medical Center. Mayo Clinic Proceedings: Digital Health 2025;3(1):100189 View
  10. Danil L, Jahroh S, Syarief R, Taryana A. Technological Innovation in Start-Ups on a Pathway to Achieving Sustainable Development Goal (SDG) 8: A Systematic Review. Sustainability 2025;17(3):1220 View
  11. Chakraborty I, Ilavarasan P, Edirippulige S. What helps age-tech startups scale-up? Some insights. International Entrepreneurship and Management Journal 2025;21(1) View
  12. Leivaditis V, Maniatopoulos A, Lausberg H, Mulita F, Papatriantafyllou A, Liolis E, Beltsios E, Adamou A, Kontodimopoulos N, Dahm M. Artificial Intelligence in Thoracic Surgery: A Review Bridging Innovation and Clinical Practice for the Next Generation of Surgical Care. Journal of Clinical Medicine 2025;14(8):2729 View
  13. Pfitzer E, Giger O, Kausch C, Kowatsch T. Success factors and measures for scaling patient-facing digital health technologies from leaders’ insights. BMC Health Services Research 2025;25(1) View
  14. Agur Cohen D, Heymann A, Levkovich I. Partners in Practice: Primary Care Physicians Define the Role of Artificial Intelligence. Healthcare 2025;13(16):1972 View
  15. Mehraeen E, Siami H, Montazeryan S, Molavi R, Feyzabadi A, Parvizy I, Masjedlu Z, Dehkalani M, Mahmoudi S, Ahmadipour A. Artificial Intelligence Challenges in the Healthcare Industry: A Systematic Review of Recent Evidence. Healthcare Technology Letters 2025;12(1) View
  16. Zhao T, Liu Y, Wei Z, Yi X. Recent advancements of artificial intelligence in minimally invasive surgery for endometriosis. Intelligent Surgery 2025;8:118 View
  17. Apell P, Locher S, Milde A, Eriksson H. Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach. JMIR AI 2026;5:e60458 View
  18. Biró A, Iantovics L, Fekete L, Fekete G. Prototype of a multimodal AI system for vitiligo detection and mental health monitoring. Frontiers in Medicine 2025;12 View
  19. SANGWA S, Mutabazi P. AI-Driven Healthcare Entrepreneurship: Transforming Clinical Practice Through Innovation, Access, and Affordability. F1000Research 2025;14:921 View
  20. Kulkarni Kale U, Vemulapalli G. Integrating AI into the Clinical Workflows Across the Cancer Care Continuum: Opportunities and Challenges. The Cancer Journal 2025;31(6) View
  21. Bolton W, Wilson R, Gilchrist M, Georgiou P, Holmes A, Rawson T. The impact of artificial intelligence-driven decision support on uncertain antimicrobial prescribing: a randomised, multimethod study. The Lancet Digital Health 2025;7(11):100912 View
  22. Mevik K, Woldaregay A, Jonsson E, Tejedor M, Temple-Oberle C. Application of AI Models for Preventing Surgical Complications: Scoping Review of Clinical Readiness and Barriers to Implementation. JMIR AI 2026;5:e75064 View
  23. Paul A, Xavierselvan M, Aebisher D, Kubrak T, Bartusik-Aebisher D, Mallidi S. Empowering photodynamic therapy with artificial intelligence: current trends and future directions. Frontiers in Oncology 2026;16 View
  24. Mui D, Tran J, Onofre S, Ramirez S, Singh V, Lago A, Ng-Thow-Hing J, Lavertu A, Kaushal A, Altman R, Pallas J, Boosi S, Gohil L, Pfeffer M, Hofmann L, Sharp C, Li R. Optimizing Enterprise Referral Processing through Automated Fax Triage. NEJM Catalyst 2026;7(5) View

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  2. Greco M, Bose I, Angelotti G. Nutrition, Metabolism and Kidney Support. View
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Conference Proceedings

  1. (Chuqiao) Wan E, Yin C, Ito A, Gao Z, Jia J, Taoka Y, Saito S, Sadek M, Mougenot C. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. KNIT: Computational Boundary Objects for Real-Time Convergence in Interdisciplinary Teams View