Integrating Digital Technologies and Artificial Intelligence into Electronic Health Records to Enhance Healthcare Outcomes

Abstract

The healthcare sector is undergoing a rapid transformation driven by digital technologies and artificial intelligence, with electronic health records (EHRs) at the forefront of this revolution. EHRs offer many benefits, including improved patient care, enhanced diagnosis, and treatment accuracy, as well as reduced administrative burden on healthcare providers. However, their integration with AI technologies is critical to addressing ongoing challenges, particularly around data security, privacy, and improved clinical decision-making. AI tools such as machine learning, natural language processing, and optical character recognition are enhancing the accuracy and efficiency of EHR systems, making them more powerful in detecting diseases, predicting risks, and improving healthcare outcomes. This paper reviews the important role of EHRs in modern healthcare, explores how AI can enhance their functionality, and discusses challenges related to data security, integrity, and bias in AI algorithms. Despite these challenges, the future of healthcare looks promising as EHR systems evolve into smarter and more secure platforms.