AI-Powered Speech Recognition in Healthcare

This technical report examines the advancements in artificial intelligence-driven speech recognition and captioning technologies, particularly their applications in clinical healthcare settings. It outlines the evolution of speech recognition from traditional statistical methods to modern deep learning approaches, highlighting the role of neural network architectures. The report details the clinical applications of AI-powered speech recognition, including environmental adaptation, real-time processing, and the use of speech recognition technology in electronic health records. It also discusses the current state of captioning technology, emphasizing the integration of automatic speech recognition in telehealth and the regulatory requirements under the Communications and Video Accessibility Act. The report presents findings on the effectiveness and limitations of captioning technology, noting the variability in performance and the ongoing challenges faced by the deaf and hard-of-hearing community. Lastly, it identifies future directions for research and implementation considerations for healthcare professionals, focusing on patient needs assessments and technology selection.