Objectives: This study aims to analyze the common challenges faced in Emergency Departments (EDs) and explore how artificial intelligence (AI) can be effectively integrated into Electronic Health Records (EHRs) to enhance patient safety outcomes. Methods: Utilizing quantitative techniques, the research involved a survey of 242 healthcare professionals in the Indian context, selected through purposive sampling. Descriptive statistics were employed to analyze the data, incorporating various statistical methods such as mean and median calculations to evaluate the findings. Results: The analysis identified key issues in EDs, particularly overcrowding, which was acknowledged by 57.44% of respondents as a significant challenge. The study demonstrated that integrating AI into EHRs offers substantial opportunities to improve treatment quality and patient safety. More than half of the participants expressed strong support for AI integration in EHRs, highlighting its potential to optimize patient care processes, enhance decision-making, and streamline workflows. Conclusions: The findings reveal that addressing common problems in healthcare, such as patient overcrowding and communication barriers among staff, is crucial for improving patient care. The integration of AI and EHRs not only enhances healthcare services but also significantly contributes to better patient safety outcomes. This research underscores the importance of technological advancements in healthcare and provides insights from stakeholders on the effective implementation of AI in EDs.