Objective:

To analyze lab priorities, trends, and challenges in pathology for 2026 based on a reader survey.

Key Findings:

• Labs are prioritizing modernization with a focus on sustainable capabilities rather than just acquiring new technology.
• The integration of AI and data-driven tools is crucial for managing increasing diagnostic complexity.
• Workforce evolution and training are seen as primary bottlenecks in adopting new technologies.
• There is a grounded optimism among pathologists regarding cumulative progress in digital and AI-enabled approaches.

Interpretation:

The findings indicate a shift towards deliberate modernization in pathology, emphasizing the importance of workforce training and the integration of advanced technologies to manage complexity and improve efficiency.

Limitations:

• The survey results may not represent all pathology labs and their unique challenges.
• Responses may be influenced by current trends and may not predict long-term changes.

Conclusion:

Pathology is evolving towards a more integrated and data-rich environment, necessitating a focus on workforce development and sustainable practices to maintain quality amidst increasing complexity.