TESTING CONVERSATIONAL AI AND VOICE UIS IN HEALTHCARE: AUTOMATION STRATEGIES FOR CHATBOTS AND VIRTUAL ASSISTANTS
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Abstract
Conversational AI technologies, including chatbots and voice assistants, are fundamentally transforming the healthcare landscape by introducing innovative interaction methods for both patients and providers [1]. These technologies facilitate more efficient communication, improve patient engagement, and streamline processes, but they also come with significant challenges. The complexity of healthcare-specific dialogues—often filled with medical terminology, patient emotions, and diverse scenarios—requires robust and rigorous testing to ensure effectiveness [2].
Moreover, adherence to regulatory standards is crucial in the healthcare sector, as any failure in communication can lead to serious implications for patient safety and care quality [3]. This white paper delves into various automation strategies designed for testing conversational AI and voice user interfaces (UIs) in healthcare environments.
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