Clinical Scorecard: Digital Pathology: the Great Translation Debate

At a Glance

Key Highlights

• AI is a supportive tool, not a replacement for pathologists
• Staffing shortages and burnout are prevalent in laboratories
• Fragmented systems hinder operational performance and clinical efficiency
• Cost and infrastructure are major barriers to DP and AI adoption
• Future pathologists may prefer modern digital infrastructures

Guideline-Based Recommendations

Diagnosis

• Reframe AI as a supportive tool within pathology workflows
• Focus on improving triage, classification, and consistency

Management

• Generate evidence of clinical and operational value for DP and AI tools
• Implement continuous training for laboratory staff

Monitoring & Follow-up

• Maintain workforce capacity and prepare for digital system failures

Risks

• Operational, financial, and cultural barriers to DP and AI integration

Patient & Prescribing Data

Patients requiring pathology services

AI tools can enhance diagnostic decision-making while preserving human expertise

Clinical Best Practices

• Encourage multidisciplinary collaboration in pathology
• Focus on sustainable implementation of digital tools
• Address recruitment and retention challenges in pathology workforce

Related Resources & Content