Decoding disparities: evaluating automatic speech recognition system performance in transcribing Black and White patient verbal communication with nurses in home healthcare

While AWS systems demonstrated superior accuracy, significant disparities by race highlight the need for more diverse training datasets and improved dialect sensitivity. Addressing these disparities is critical for ensuring equitable ASR performance in HHC settings and enhancing risk prediction models through audio-recorded communication.