This study improves accuracy in dementia screening by using speech-derived features from the German Syndrom-Kurz-Test. Models combine transcript scores and Whisper embeddings to reduce scoring errors and approximate expert ratings by compensating for missing motor subtests. The approach achieves strong correlation with expert ratings and effectively distinguishes cognitive status groups.