EHRs are currently managed through manual data entry, which can lead to incomplete or inaccurate documentation. Healthcare AI can help with improving the accuracy and completeness of EHRs through natural language processing and machine learning, and can also provide recommendations for treatment based on clinical decision support algorithms. This will improve clinical decision-making, reduce medical errors, and enhance patient outcomes. The use of AI in EHRs will result in better quality care and reduced medical errors. Additionally, the ability to analyze large amounts of data in real-time will enable healthcare providers to make more informed decisions and improve population health management.