Next-generation accreditation in healthcare: the role of digital transformation and artificial intelligence

Abstract

BACKGROUND: Healthcare accreditation is gradually evolving with the integration of digital technologies and artificial intelligence (AI). These tools have the potential to enhance efficiency, accuracy, and transparency while raising challenges related to workforce capacity, data security, and ethical oversight. METHODS: A structured workshop at the ISQua (International Society for Quality in Health Care) 2024 International Conference employed surveys, SWOT analyses, and facilitated group discussions with participants from 16 countries and diverse organizations to capture perspectives on digital transformation and AI adoption in accreditation. RESULTS: The analysis identified key strengths such as real-time analytics, improved data accessibility, and enhanced decision-making, alongside weaknesses including infrastructure gaps, security risks, and limited competencies. Opportunities such as standardization and government support were contrasted with threats including regulatory complexity and resource constraints. CONCLUSION: The workshop provided exploratory insights into how digital transformation and AI may support next-generation accreditation. Findings emphasize the importance of infrastructure readiness, ethical governance, and workforce training in leveraging digital tools to improve healthcare quality and patient safety.

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