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.

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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.

Olaye, Iredia M - Nama Orang; Seixas, Azizi A - Nama Orang;

Background: Artificial intelligence (AI) and digital health technological innovations from startup companies used in clinical
practice can yield better health outcomes, reduce health care costs, and improve patients' experience. However, the integration,
translation, and adoption of these technologies into clinical practice are plagued with many challenges and are lagging. Furthermore,
explanations of the impediments to clinical translation are largely unknown and have not been systematically studied from the
perspective of AI and digital health care startup founders and executives.
Objective: The aim of this paper is to describe the barriers to integrating early-stage technologies in clinical practice and health
care systems from the perspectives of digital health and health care AI founders and executives.
Methods: A stakeholder focus group workshop was conducted with a sample of 10 early-stage digital health and health care
AI founders and executives. Digital health, health care AI, digital health–focused venture capitalists, and physician executives
were represented. Using an inductive thematic analysis approach, transcripts were organized, queried, and analyzed for thematic
convergence.
Results: We identified the following four categories of barriers in the integration of early-stage digital health innovations into
clinical practice and health care systems: (1) lack of knowledge of health system technology procurement protocols and best
practices, (2) demanding regulatory and validation requirements, (3) challenges within the health system technology procurement
process, and (4) disadvantages of early-stage digital health companies compared to large technology conglomerates.
Recommendations from the study participants were also synthesized to create a road map to mitigate the barriers to integrating
early-stage or novel digital health technologies in clinical practice.
Conclusions: Early-stage digital health and health care AI entrepreneurs identified numerous barriers to integrating digital
health solutions into clinical practice. Mitigation initiatives should create opportunities for early-stage digital health technology
companies and health care providers to interact, develop relationships, and use evidence-based research and best practices during
health care technology procurement and evaluation processes.

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Informasi Detail

Judul Seri: -
No. Panggil: -
Penerbit: California : Journal of Medical Internet Research., Mei 2023
Deskripsi Fisik: 11hlm ; Ilus .
Bahasa: English
ISBN/ISSN: 14394456
Klasifikasi: NONE
Tipe Isi: text
Tipe Media: -
Tipe Pembawa: -
Edisi: Vol. 25, Issue 7
Subjek: AI
Adoption of Digital Health Care
Info Detail Spesifik: -
Pernyataan Tanggungjawab: -

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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

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