Abstract: Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling data analysis, development of prognostic tools and disease risk prediction. EMRs also offer a range of advantages in clinical practice, such as comprehensive medical records, streamlined communication with healthcare providers, remote data access, and rapid retrieval of test results, ultimately leading to increased efficiency, enhanced patient safety, and improved quality of care in gerontology, which includes benefits like reduced medication use and better patient history taking and physical examination assessments. The use of artificial intelligence (AI) and machine learning (ML) approaches on EMRs can further improve disease diagnosis, symptom classification, and support clinical decision-making. However, there are also challenges related to data quality, data entry errors, as well as the ethics and safety of using AI in healthcare. This article discusses the future of EMRs in gerontology and the application of AI and ML in clinical research. Ethical and legal issues surrounding data sharing and the need for healthcare professionals to critically evaluate and integrate these technologies are also emphasized. The article concludes by discussing the challenges related to the use of EMRs in research as well as in their primary intended use, the daily clinical practice.

Keywords: electronic medical records, gerontology, artificial intelligence, geriatrics, aging


中文翻译：

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电子病历 (EMR) 在老年学中的使用：好处、考虑因素和光明的未来

摘要：电子病历（EMR）在老年学临床研究中具有许多好处，可以进行数据分析、预后工具的开发和疾病风险预测。EMR 还在临床实践中提供一系列优势，例如全面的医疗记录、简化与医疗保健提供者的沟通、远程数据访问以及快速检索测试结果，最终提高效率、增强患者安全并提高护理质量。老年学，其中包括减少药物使用以及更好地记录患者病史和体检评估等好处。在电子病历上使用人工智能（AI）和机器学习（ML）方法可以进一步改善疾病诊断、症状分类并支持临床决策。然而，也存在与数据质量、数据输入错误以及在医疗保健中使用人工智能的道德和安全性相关的挑战。本文讨论了电子病历在老年学中的未来以及人工智能和机器学习在临床研究中的应用。还强调了围绕数据共享的道德和法律问题以及医疗保健专业人员批判性评估和整合这些技术的需要。本文最后讨论了在研究及其主要预期用途（日常临床实践）中使用 EMR 所面临的挑战。

关键词：电子病历、老年学、人工智能、老年病学、老龄化