Conversational AI is transforming healthcare by enabling systems to engage in natural, empathetic interactions with patients, addressing various challenges such as emergency triaging, medication management, mental health support, and telehealth documentation. While healthcare AI spending is projected to reach $187.69 billion by 2030, many organizations remain in early stages, employing basic chatbot systems. Successful implementations follow a systematic maturity model that progresses from simple voice commands to empathetic engagement systems, capable of handling complex medical discussions and ensuring accurate documentation. Advanced conversational AI can distinguish between specialized medical terminology, attribute speech accurately in multi-party settings, and integrate with large language models for clinical understanding. This technology not only enhances patient interactions but also streamlines administrative workflows, providing real-time transcription, intelligent triage, and comprehensive patient education. Despite its potential, success in deploying conversational AI in healthcare hinges on choosing robust, medically specialized platforms that can navigate the complexities of clinical language and environments.