This paper presents exploratory results from the "Novo CorPop Saúde" project, evaluating whether validation by expert linguists improves readability levels compared to AI-generated simplifications. We analyzed original, AI-generated, and human-validated versions of thirty Patient Information leaflets. Using the Flesch Reading Ease Index, two adapted Dale-Chall metrics, and lexicometric analysis, we assessed automatic simplification against human strategies. Results indicate that while AI improves readability scores primarily through text compression, expert linguists prioritize elaborative strategies, maintaining key terminology while providing didactic explanations to fill semantic gaps. This suggests that human intervention plays a key role in balancing terminological precision with communicative accessibility, a nuance that purely reductive AI strategies might overlook. This study provided evidence on the use of the complex and simplified lexical repertoire of medicine leaflets for the "Novo CorPop Saúde".