数字健康应用:建立骨科膝关节疾病的远程诊断;卡塔尔世界杯8强波胆分析范围综述%A van Eijck,Sander C %A Janssen,Daan M %A van der Steen,Maria C %A Delvaux,Eugenie J L G %A Hendriks,Johannes G E %A Janssen,Rob P A %+骨科外科与创伤科，Máxima医学中心，De Run 4600, Veldhoven, 5504 DB，荷兰，31 31641941571，sandervaneijck@gmail.com %K骨科手术%K电子健康%K数字健康%K移动健康%K远程医疗%K人工智能%K诊断%K远程患者管理%K肌肉骨骼系统%K膝关节%K手机%D回顾%J J医学互联网研究%G英语%X背景:膝关节疼痛在世界范围内非常普遍，预计未来这一数字还会上升。2019冠状病毒病的爆发，再加上人口老龄化、医疗成本上升以及在全球范围内更容易获得医疗保健的需求，导致对数字医疗保健应用程序的需求不断增加，从而为肌肉骨骼疾病患者提供医疗服务。数字医疗和其他形式的远程医疗可以在优化患者和医疗保健提供者的医疗保健方面增加价值。这可能会降低医疗保健成本，使医疗保健更容易获得，同时保持高质量。尽管期望很高，但目前还没有将数字健康应用与面对面接触的临床试验进行比较，以建立骨科手术中膝关节的初步诊断。目的:本研究旨在调查目前可用的数字健康和远程医疗应用程序，以建立普通人群骨科手术的初级膝关节诊断，并与影像学或患者与医生面对面接触进行比较。方法:使用PubMed和Embase数据库，根据PRISMA-ScR(系统评价和荟萃分析扩展范围评价的首选报告项目)声明进行范围评价。纳入标准是使用数字健康或远程医疗确定骨科手术初级膝关节诊断的研究报告方法。 On April 28 and 29, 2021, searches were conducted in PubMed (MEDLINE) and Embase. Data charting was conducted using a predefined form and included details on general study information, study population, type of application, comparator, analyses, and key findings. A risk-of-bias analysis was not deemed relevant considering the scoping review design of the study. Results: After screening 5639 articles, 7 (0.12%) were included. In total, 2 categories to determine a primary diagnosis were identified: screening studies (4/7, 57%) and decision support studies (3/7, 43%). There was great heterogeneity in the included studies in algorithms used, disorders, input parameters, and outcome measurements. No more than 25 knee disorders were included in the studies. The included studies showed a relatively high sensitivity (67%-91%). The accuracy of the different studies was generally lower, with a specificity of 27% to 48% for decision support studies and 73% to 96% for screening studies. Conclusions: This scoping review shows that there are a limited number of available applications to establish a remote diagnosis of knee disorders in orthopedic surgery. To date, there is limited evidence that digital health applications can assist patients or orthopedic surgeons in establishing the primary diagnosis of knee disorders. Future research should aim to integrate multiple sources of information and a standardized study design with close collaboration among clinicians, data scientists, data managers, lawyers, and service users to create reliable and secure databases. %M 36566450 %R 10.2196/40504 %U //www.mybigtv.com/2023/1/e40504 %U https://doi.org/10.2196/40504 %U http://www.ncbi.nlm.nih.gov/pubmed/36566450