Facial Sentimental Analysis in Hospitals

Abstract

Abstract: In today's rapidly evolving healthcare landscape,the focus on patient satisfaction and well-being has become crucial. A positive experience plays an important role in aiding the recovery of the patient. A significant factor contributing to a positive patient experience is the quality care and the emotionalsupport they receive during their hospital stay. Traditional methods of measuring patient satisfaction often rely on surveys and feedback forms, which can be subjective, time-consuming, and potentially biased. To address these limitations, this abstract proposes a novel approach: the integration of facial sentiment analysis as a real-time tool for assessing patient emotions and satisfaction levels. This abstract introduces an approach to enhance patient satisfaction and well-being in healthcare settings. By integrating facial sentiment analysis, we propose a realtime method to objectively evaluate patient emotions and treatment satisfaction. Through advanced computer vision, this approach detects and interprets facial expressions of patients inhospitals, offering insights into care effectiveness, dedication of hospital staff, and efficiency of the treatment. The system generates a "Happiness and Satisfaction Index," aiding healthcare stakeholders in making informed improvements as well and it works as a review metric for the customers who wouldlike to visit their hospital.