开发一个数字数据收集平台，以测量威尔士败血症的患病率。
Developing a digital data collection platform to measure the prevalence of sepsis in Wales.
作者信息
Sharif B, Lundin R M, Morgan P, Hall J E, Dhadda A, Mann C, Donoghue D, Brownlow E, Hill F, Carr G, Turley H, Hassall J, Atkinson M, Jones M, Martin R, Rollason S, Ibrahim Y, Kopczynska M, Szakmany T
机构信息
Cardiff University Research Society (CUReS), Cardiff University School of Medicine.
Critical Care Directorate, Cardiff and Vale University Health Board.
出版信息
J Am Med Inform Assoc. 2016 Nov;23(6):1185-1189. doi: 10.1093/jamia/ocv208. Epub 2016 Apr 19.
OBJECTIVE
To develop a secure, efficient, and easy-to-use data collection platform to measure the prevalence of sepsis in Wales over 24 hours.
MATERIALS AND METHODS
Open Data Kit was used on Android devices with Google App Engine and a digital data collection form.
RESULTS
A total of 184 students participated in the study using 59 devices across 16 hospitals, 1198 datasets were submitted, and 97% of participants found the Open Data Kit form easy to use.
DISCUSSION
We successfully demonstrated that by combining a reliable Android device, a free open-source data collection framework, a scalable cloud-based server, and a team of 184 medical students, we can deliver a low-cost, highly reliable platform that requires little training or maintenance, providing results immediately on completion of data collection.
CONCLUSION
Our platform allowed us to measure, for the first time, the prevalence of sepsis in Wales over 24 hours.
目的
开发一个安全、高效且易于使用的数据收集平台，以测量威尔士24小时内脓毒症的患病率。
材料与方法
在配备谷歌应用引擎的安卓设备上使用开放数据工具包和数字数据收集表单。
结果
共有184名学生参与了该研究，使用了16家医院的59台设备，提交了1198个数据集，97%的参与者认为开放数据工具包表单易于使用。
讨论
我们成功证明，通过结合可靠的安卓设备、免费的开源数据收集框架、可扩展的基于云的服务器以及184名医学生组成的团队，我们可以提供一个低成本、高度可靠的平台，该平台几乎无需培训或维护，在数据收集完成后即可立即提供结果。
结论
我们的平台使我们首次能够测量威尔士24小时内脓毒症的患病率。
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