Transfusion medicine
Free download
No. 20 of 20
Getting Started with AI in Transfusion Medicine and Immunohaematology
A practical primer for the practising pathologist — what the technology actually does in transfusion medicine, what to ask of it, and how to start safely.
Transfusion medicine presents an unusual profile. The theoretical case for AI is strong: the discipline manages a perishable, donated, finite resource against unpredictable demand, makes repeated threshold-based clinical decisions, and operates one of the most data-rich supply chains in healthcare. Prediction is central to almost everything it does.
What the primer covers
- SectionA field with enormous potential and remarkably little deployment
- SectionThe task map
- SectionYour first 90 days
- SectionValidation specifics
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in transfusion medicine meeting diagnostic AI for the first time
- Laboratory leads assessing vendor claims and planning validation
- Trainees who want the regulatory and methodological context, not marketing
Educational guidance, not clinical protocol or regulatory advice. Algorithm authorisations and validation requirements change — confirm the current position with your regulator and your own quality system.