TRAINING AND DEVELOPMENT Smart review


In both the breadth of the review as well as the speed of the review, the AI-assisted group showed more improvement.


responsibilities under HTM 07-01. Full policies are often much longer, but not feasible for testing. A ‘perfect’ three-page SOP was created, covering all the duties of a waste manager that are explicitly specified in the latest HTM 07-01. We then deliberately seeded the document with ‘realistic’ defects: incorrect HTM citations, missing responsibilities such as the duty to have access to a Dangerous Goods Safety Adviser (DGSA), and more. Waste managers and AEs across the UK joined online sessions and were randomly assigned to one of two groups. One group conducted a traditional manual review, reading and annotating the document only with the help of HTM 07-01. The other group was allowed to upload the SOP to the AI Review Assistant which then flagged compliant, partially compliant, and non-compliant clauses and provided recommendations with links to the reference clauses paragraphs in HTM 07- 01.


Each participant was given up to 45


minutes to complete the review and submitted their findings through a structured questionnaire. We measured two things: whether they detected the defects, and whether they provided a correct fix for each one. The results were then tested for statistical significance.


14 Health Estate Journal November 2025


Results show increase in review speed and error detection


33 participants were included in the analysis, 18 with AI support (‘treatment’) and 15 without (‘control’). The difference


in error detection rates was striking. The AI-assisted group achieved a relative median recall improvement of 150%. In practical terms, they found more than twice as many errors as the manual group. They also worked more efficiently. The AI group detected an additional


The AI-assisted group achieved a relative median recall improvement of 150%. In practical terms, they found more than twice as many errors as the manual group


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