Acute myocardial infarction (AMI) is a highly critical and acute condition, and early electrocardiographic monitoring is vital for prognosis. Traditional monitoring has limitations such as poor real-time performance and insufficient capture of sudden arrhythmias. Digital-intelligent technology, which integrates digital, information, and intelligent technologies, offers a novel pathway for AMI monitoring.

To systematically summarize the current applications, clinical effects, and existing challenges of digital-intelligent technologies in AMI electrocardiographic monitoring, thereby providing a reference for its standardized application and further research.

Following the Joanna Briggs Institute (JBI) scoping review guidelines, databases including PubMed, Cochrane Library, CINAHL, Embase, Scopus, Web of Science, CNKI, CBM, VIP, and Wanfang Data were searched from inception to February 2, 2025. Relevant studies were selected for comprehensive analysis.

A total of 21 studies from 5 countries were included, comprising randomized controlled trials and prospective studies. Digital-intelligent technologies included remote ECG monitoring systems, wearable devices, AI-assisted diagnosis systems, and mobile devices, which were applied across the full spectrum of patient care, from pre-hospital emergency and in-hospital monitoring to home management. These technologies were shown to improve the detection rate of abnormal ECG, shorten critical treatment time windows, reduce medical costs, and improve prognosis. However, several challenges persist, including the need for data accuracy validation, inadequate privacy protection, fragmented device functionality, and poor user adherence among special populations.

Digital-intelligent technologies are feasible and effective in AMI monitoring, enhancing diagnosis and therapeutic efficiency. Future efforts should focus on technical standardization, data security and privacy protection, functional integration, and age-friendly design to promote clinical translation and application, aligning with the "Healthy China 2030" initiative.

急性心肌梗死（AMI）为高急危重症，尽早心电监测对预后至关重要。传统心电监测存在实时性差、突发心律失常捕捉不足等局限，数智化技术作为数字、信息与智能技术的融合体，为其提供了新路径。

系统梳理数智化技术在AMI心电监测中的应用现状、临床效果及现存问题，为规范化应用与进一步研究提供参考。

遵循澳大利亚乔安娜布里格斯研究所（JBI）范围综述指南，检索PubMed、Cochrane Library、CINAHL、Embase、Scopus、Web of Science、中国知网、中国生物医学文献数据库、维普网、万方数据知识服务平台，检索时限为建库至2025-02-02，纳入数智化技术在AMI心电监测中的应用现状相关研究并综合分析。

共纳入21篇文献，涉及5个国家，含随机对照试验、前瞻性研究等。数智化技术包括远程心电监护系统、可穿戴设备、人工智能辅助诊断系统及移动设备，覆盖院前急救、住院监护及居家管理全场景，可提高异常心电图检出率、缩短关键救治时间窗、降低医疗费用、改善预后，但存在数据准确性待验证、隐私保护不足、设备功能碎片化、特殊人群使用依从性等挑战。

数智化技术应用于AMI心电监测可行有效，可提升诊断与救治效能。未来需聚焦技术标准化、数据安全与隐私保护、功能整合与适老化设计，推动临床转化与应用，契合"健康中国2030"目标。