Key considerations when implementing new diagnostic technologies in routine practice

The field of pathology is evolving with the integration of advanced and artificial-intelligence-powered diagnostic technologies. However, there remains a significant gap in clearly outlining the key considerations for the effective implementation of these innovations into clinical care.

The aim of this review was to identify and address the essential aspects required to bridge the implementation gap of new diagnostic technologies in pathology.

This review synthesizes key elements from relevant scientific journals, organizational websites, and practical examples from pathology practice. The findings are presented as a structured framework of six key elements, supported by an infographic and illustrative cases from clinical settings.

The key elements are: (1) Innovation depends more on the people driving it than on the work it demands, highlighting the importance of team collaboration and communication; (2) in-depth knowledge of the delivery system emphasizing the importance of care, IT, and administrative layers is crucial; (3) data-driven decision-making in healthcare transformation is central, with an emphasis on the process of converting real-world data (RWD) into actionable real-world evidence (RWE); (4) a proven approach for practice transformation uses a structured (utilization management strategy, UMS) framework; (5) a balanced approach toward financial sustainability, including local and systemic financial strategies, is important; and (6)  ensuring safe and effective progress requires a new, collaborative definition of regulatory science, aligning innovation with regulatory oversight to support technological advancements.

These key aspects offer a foundational framework for integrating new technologies into healthcare. Although not exhaustive, overlooking them would miss a significant opportunity to enhance patient care.