Aggelidis Xenofon, Kritikou Maria, Makris Michael, Miligkos Michael, Papapostolou Niki, Papadopoulos Nikolaos G, Xepapadaki Paraskevi
Allergy Unit, 2nd Department of Dermatology and Venereology, Medical School, Attikon University Hospital, National and Kapodistrian University of Athens, 15772 Athens, Greece.
Allergy Department, 2nd Pediatric Clinic, National and Kapodistrian University of Athens, 15772 Athens, Greece.
J Clin Med. 2024 Feb 4;13(3):898. doi: 10.3390/jcm13030898.
Respiratory allergic diseases affect over 500 million people globally and pose a substantial burden in terms of morbidity, mortality, and healthcare costs. Restrictive factors such as geographical disparities, infectious pandemics, limitations in resources, and shortages of allergy specialists in underserved areas impede effective management. Telemedicine encompasses real-time visits, store-and-forward option triage, and computer-based technologies for establishing efficient doctor-patient communication. Recent advances in digital technology, including designated applications, informative materials, digital examination devices, wearables, digital inhalers, and integrated platforms, facilitate personalized and evidence-based care delivery. The integration of telemonitoring in respiratory allergy care has shown beneficial effects on disease control, adherence, and quality of life. While the COVID-19 pandemic accelerated the adoption of telemedicine, certain concerns regarding technical requirements, platform quality, safety, reimbursement, and regulatory considerations remain unresolved. The integration of artificial intelligence (AI) in telemonitoring applications holds promise for data analysis, pattern recognition, and personalized treatment plans. Striking the balance between AI-enabled insights and human expertise is crucial for optimizing the benefits of telemonitoring. While telemonitoring exhibits potential for enhancing patient care and healthcare delivery, critical considerations have to be addressed in order to ensure the successful integration of telemonitoring into the healthcare landscape.
呼吸道过敏性疾病在全球影响着超过5亿人，在发病率、死亡率和医疗成本方面造成了巨大负担。地理差异、传染病大流行、资源限制以及服务不足地区过敏专科医生短缺等限制因素阻碍了有效管理。远程医疗包括实时就诊、存储转发式分诊以及用于建立高效医患沟通的计算机技术。数字技术的最新进展，包括指定应用程序、信息材料、数字检查设备、可穿戴设备、数字吸入器和集成平台，促进了个性化和循证医疗服务的提供。远程监测在呼吸道过敏护理中的整合已显示出对疾病控制、依从性和生活质量的有益影响。虽然新冠疫情加速了远程医疗的采用，但在技术要求、平台质量、安全性、报销和监管考量等方面的某些问题仍未得到解决。人工智能（AI）在远程监测应用中的整合有望实现数据分析、模式识别和个性化治疗方案。在基于人工智能的见解和人类专业知识之间取得平衡对于优化远程监测的益处至关重要。虽然远程监测在改善患者护理和医疗服务提供方面具有潜力，但为确保远程监测成功融入医疗格局，必须解决一些关键问题。
