@Article{信息:doi 10.2196 / / jmir。5644，作者=“Juusola, Jessie L和Quisel, Thomas R和Foschini, Luca和Ladapo, Joseph A”，标题=“在线众包诊断工具对医疗保健利用的影响:采用回顾性索赔分析新方法的案例研究”，期刊=“J Med Internet Res”，年=“2016”，月=“6”，日=“01”，卷=“18”，数=“6”，页=“e127”，关键词=“众包”;诊断;移动健康;，摘要=“背景:就诊多名医生的疑难病例往往无法得到诊断。一个新的在线平台CrowdMed利用众包技术快速有效地为这些患者做出准确诊断。目的:本研究旨在评估CrowdMed是否降低了使用该服务的患者的医疗保健利用率。方法:采用新颖的电子方法进行患者招募和数据收集。2014年7月至2015年4月期间在CrowdMed平台上完成病例的患者通过电子邮件招募，并通过在线调查进行筛选。在提供eConsent后，参与者提供了用于访问其医疗索赔数据的识别信息，这些数据通过第三方web应用程序编程接口(API)检索。 Utilization metrics including frequency of provider visits and medical charges were compared pre- and post-case resolution to assess the impact of resolving a case on CrowdMed. Results: Of 45 CrowdMed users who completed the study survey, comprehensive claims data was available via API for 13 participants, who made up the final enrolled sample. There were a total of 221 health care provider visits collected for the study participants, with service dates ranging from September 2013 to July 2015. Frequency of provider visits was significantly lower after resolution of a case on CrowdMed (mean of 1.07 visits per month pre-resolution vs. 0.65 visits per month post-resolution, P=.01). Medical charges were also significantly lower after case resolution (mean of US {\$}719.70 per month pre-resolution vs. US {\$}516.79 per month post-resolution, P=.03). There was no significant relationship between study results and disease onset date, and there was no evidence of regression to the mean influencing results. Conclusions: This study employed technology-enabled methods to demonstrate that patients who used CrowdMed had lower health care utilization after case resolution. However, since the final sample size was limited, results should be interpreted as a case study. Despite this limitation, the statistically significant results suggest that online crowdsourcing shows promise as an efficient method of solving difficult medical cases. ", issn="1438-8871", doi="10.2196/jmir.5644", url="//www.mybigtv.com/2016/6/e127/", url="https://doi.org/10.2196/jmir.5644", url="http://www.ncbi.nlm.nih.gov/pubmed/27251384" }