Healthcare voice agents are transforming patient interactions by automating routine tasks such as appointment scheduling, insurance verification, and prescription refills using advanced AI technologies. These systems employ speech-to-text, Large Language Models, and text-to-speech to facilitate natural conversational interactions that eliminate the need for traditional phone menus. Key to their success is high transcription accuracy, which ensures that medical terminology and patient details are captured correctly, preventing errors in medication names or insurance information. Voice agents offer significant benefits, including reduced wait times and consistent service quality, as they can handle multiple calls simultaneously without the variability associated with human agents. However, challenges such as understanding specialized medical terminology and ensuring privacy compliance under HIPAA regulations persist. Effective deployment of these voice agents requires integration with existing Electronic Health Record systems and maintaining response times under one second to ensure seamless interactions. Overall, healthcare voice agents are enhancing patient experience and efficiency, although their effectiveness hinges on precise real-time transcription and robust privacy measures.