Enhancing Patient-Provider Interaction by Leveraging AI for Facial Emotion Recognition in Healthcare

In modern medical care, fostering empathy between healthcare providers and patients is essential for effective communication, patient satisfaction, and ultimately, better health outcomes. This paper introduces a cutting-edge web-based AI solution designed to unlock empathy in medical care by incorporating facial emotion recognition technology. Through real-time analysis of patient's facial expressions, the system enables healthcare professionals to discern emotional cues and tailor their interactions accordingly. The paper outlines the development process, highlighting the intricate methodology behind data collection, preprocessing, and model selection. Furthermore, it presents comprehensive results from evaluating the system's accuracy in emotion recognition and user interface usability. Drawing from existing literature on empathy in healthcare and facial emotion recognition, the paper discusses the theoretical underpinnings and practical implications of the proposed solution. Ethical considerations, privacy safeguards, and potential challenges associated with the implementation are also addressed. The paper underscores the transformative potential of leveraging AI-driven facial emotion recognition to enhance empathetic communication in medical care, paving the way for better patient-centered and emotionally supportive healthcare practices.