Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations.

Journal: Frontiers in digital health
Published Date: May 16, 2025

Abstract

INTRODUCTION: Absence of structured guidelines to navigate the complexities of implementing AI-based applications in healthcare is recognized by clinicians, healthcare leaders, and policy makers. AI implementation presents challenges beyond the technology development which necessitates standardized approaches to implementation. This study aims to explore the activities typical to implementation of AI-based systems to develop an AI implementation process framework intended to guide healthcare professionals. The Quality Implementation Framework (QIF) was considered as an initial reference framework.

Authors

  • Monika Nair
    School of Health and Welfare, Halmstad University, Halmstad, Sweden.
  • Jens Nygren
    School of Health and Welfare, Halmstad University, Halmstad, Sweden.
  • Per Nilsen
    School of Health and Welfare, Halmstad University, Box 823, 301 18, Halmstad, Sweden.
  • Fábio Gama
    School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
  • Margit Neher
    School of Health and Welfare, Halmstad University, Box 823, 301 18, Halmstad, Sweden.
  • Ingrid Larsson
    School of Health and Welfare, Halmstad University, Box 823, 301 18, Halmstad, Sweden.
  • Petra Svedberg
    School of Health and Welfare, Halmstad University, Halmstad, Sweden.

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