Accelerating the implementation of digital pathology in India

Area of Science:

• Medical Informatics
• Pathology
• Health Systems Research

Background:

• Digital pathology (DP) leverages whole-slide imaging (WSI) for enhanced pathology services, including remote diagnostics and AI-assisted analysis.
• Despite its potential, DP adoption is limited in resource-constrained settings like India due to various barriers.

Purpose of the Study:

• To explore DP applications in India, such as primary diagnosis, telepathology, and AI-assisted diagnostics.
• To identify adoption barriers, including infrastructure, cost, and data security concerns.
• To propose cost-effective implementation strategies and collaborative approaches for DP in India.

Main Methods:

• This study is a narrative review of digital pathology in the Indian context.
• It synthesizes information on DP applications, barriers, and potential solutions.

Main Results:

• DP offers diverse applications including primary diagnosis, second opinions, telepathology, and AI-assisted analysis.
• Key barriers include IT infrastructure limitations, high costs, data security concerns, limited awareness, and job displacement fears.
• Addressing challenges requires innovative revenue models, training, robust data security, and high-quality datasets.

Conclusions:

• Structured implementation and investment can revolutionize Indian pathology services.
• DP can enhance diagnostic accuracy, reduce turnaround times, and expand access to specialized care, especially in underserved areas.
• Collaboration among stakeholders is crucial for successful DP adoption.