Artificial Intelligence and its Role in Electronic Patient Record

Background: Smart hospitals today use Artificial Intelligence to improve the quality of their services. In this sense, optimizing the patient's electronic medical record is one of the most significant issues that these hospitals face. Objectives: This study aimed to determine the role of AI in patient electronic records in a smart hospital. Methods: This study was a systematic review, with keywords searched in PubMed, Scopus, Google Scholar, and SID databases. In Persian and English, the keywords were artificial intelligence algorithms, electronic medical records, service quality, and hospital. The inclusion criteria included publication in Persian or English, full-text papers, current publications, and a focus on the use of AI in electronic medical records. Finally, about ۵۷ papers related to the investigation were picked. Results: After reviewing previous related studies, it was discovered that AI can play a role in various aspects of electronic patient records, such as disease diagnosis, predicting relapse and recovery periods, improving treatment accuracy and reducing medical errors, digital care, and decision-support systems. This can result in a ۲۰-۳۰% improvement in resource planning, a ۳۰% decrease in wait times, better resource use, and more accurate predictions. Conclusion: Leveraging AI in electronic patient records is critical for maximizing benefits while minimizing hazards. Despite the limitations, AI has the potential to become a critical tool for smart hospitals in improving healthcare delivery and efficiency. Accordingly, healthcare leaders that incorporate AI algorithms into their systems can give more effective and up-to-date care to their patients.

کلیدواژه ها:

Electronic record ، Artificial intelligence ، Patient ، algorithms ، Hospitals