Department of Internal Medicine 3, Rheumatology and Immunology Friedrich, Alexander University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
AGEIS, Université Grenoble Alpes, Grenoble, France.
Curr Rheumatol Rep. 2023 Dec;25(12):259-263. doi: 10.1007/s11926-023-01119-4. Epub 2023 Nov 14.
This article serves as a comprehensive review, focusing on digital approaches utilized in the diagnosis, monitoring, and treatment of patients with idiopathic inflammatory myopathies (IIM). The authors critically assess the literature published in the last three years, evaluating the advancements and progress achieved in this specific domain.
Remarkable strides have been made in the realm of digital diagnostic support, particularly in image analysis and clinical prediction models, showing promise in aiding the diagnosis of IIM. The field of remote patient monitoring has also witnessed significant advancements, revolutionizing the care process by offering more convenient, data-driven, and continuous monitoring for IIM patients. Various digital tools, such as wearables, video- and voice consultations, and electronic patient-reported outcomes, have been extensively explored and implemented to enhance patient care. Survey studies consistently reveal a high acceptance of telehealth services among patients. Additionally, internet-based studies have facilitated the efficient and rapid recruitment of IIM patients for research purposes. Moreover, the integration of sensors and exoskeletons has shown great potential in significantly improving the functionality and quality of life for individuals with muscle weakness caused by IIM. The integration of digital health solutions in the care of IIM patients is steadily gaining attention and exploration. Although the existing evidence is limited, it does indicate that patients can be adequately and safely supported through digital means throughout their entire healthcare journey. The growing interest in digital health technologies holds the promise of improving the overall management and outcomes for individuals with idiopathic inflammatory myopathies.
本文对使用数字方法诊断、监测和治疗特发性炎性肌病（IIM）患者进行了全面综述，重点关注了这一领域的最新进展。
在数字诊断支持方面取得了显著进展，特别是在图像分析和临床预测模型方面，为 IIM 的诊断提供了帮助。远程患者监测领域也取得了重大进展，通过为 IIM 患者提供更方便、数据驱动和持续的监测，彻底改变了护理流程。各种数字工具，如可穿戴设备、视频和语音咨询以及电子患者报告结果，已经得到了广泛的探索和实施，以改善患者的护理。调查研究一致表明，患者对远程医疗服务的接受度很高。此外，基于互联网的研究促进了高效、快速地招募 IIM 患者进行研究。此外，传感器和外骨骼的集成在显著改善因 IIM 导致肌肉无力的个体的功能和生活质量方面显示出巨大的潜力。将数字健康解决方案整合到 IIM 患者的护理中正在受到越来越多的关注和探索。尽管现有证据有限，但它确实表明患者可以通过数字手段在整个医疗保健过程中得到充分和安全的支持。对数字健康技术的日益关注有望改善特发性炎性肌病患者的整体管理和预后。
