The US Tissue Banking Market is increasingly embracing digitalization: electronic donor registries, blockchain‐enabled traceability, AI‐driven quality control, and predictive analytics to forecast tissue demand and optimize inventory management. These technologies promise to reduce waste, improve transparency, and ensure that tissues are matched accurately and delivered safely. For example, machine learning algorithms might predict when particular tissue types (e.g., corneas, heart valves) will be in short supply or identify pre‐analytical variables that degrade tissue quality. Digital tools can also streamline regulatory submissions, donor consent management, audit trails, and cross‐institution data sharing. However, challenges include data security (especially sensitive donor information), interoperability among systems, cost of deployment, staff training, and ensuring the accuracy and reliability of automated assessments. As the tissue banking industry confronts both supply shortages and quality demands, digital strategies are emerging as indispensable parts of the solution.

Discussion could revolve around what digital tools are most impactful—and cost‐effective—for tissue banks. Should banks adopt blockchain for traceability, or focus on AI for tissue quality assessment first? What privacy issues must be addressed, and how to balance innovation with data protection? Also explore the human‐factors challenge: resistance to new workflows, training, and validation. Finally, consider case studies where digital tools have been successfully integrated in healthcare or other biobanking operations.