Improving Clinicians' Digital and Artificial Intelligence-related Competence Within Healthcare Organizations in the United States: A Strategic Framework Proposal

Abstract

In recent years, there has been an emerging wave of artificial intelligence (AI) and digital tools in healthcare, thereby revolutionizing clinical practice. As health systems are increasingly utilizing these tools as a means to improve clinical and operational performance outcomes, it becomes imperative to train and professionally develop key frontline stakeholders, such as clinicians, in digital health and clinical AI to ensure seamless and responsible adoption within healthcare settings.This paper presents a multi-level framework for healthcare systems to effectively integrate digital and AI tools by enhancing clinicians' proficiency and confidence in utilizing these emerging technologies.Our strategic framework consists of three integrated elements: (1) structured training programs to enhance clinicians' understanding and utilization of digital and AI tools; (2) leadership development pathways to cultivate champions who can drive implementation within clinical departments; and (3) performance management processes to ensure sustainable adoption aligned with organizational goals. This multi-level framework addresses current gaps in clinician preparedness for the digital health ecosystem.The integration of digital and AI technologies into clinical practice requires systematic approaches to clinician development. By implementing multi-level training, fostering digital-based leadership, and establishing appropriate performance evaluation metrics, healthcare systems can better prepare their workforce for responsible technology adoption. This paper provides actionable strategies that healthcare organizations can adapt to their specific contexts to maximize the potential benefits of digital innovations in patient care.

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