This study identifies a selected transformer-based clustering model for operational medical assessment items that balances within blueprint-topic proximity with cluster separation. Operational analyses showed supplementary alignment with blueprint structure, flagged isolated content areas that may need additional item coverage, and identified dispersed topics for subject matter expert (SME) review.