Chen Ying, Ning Yilin, Thomas Prem, Salloway Mark, Tan Maudrene Luor Shyuan, Tai E-Shyong, Kao Shih Ling, Tan Chuen Seng
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
JAMIA Open. 2021 Jun 16;4(2):ooab033. doi: 10.1093/jamiaopen/ooab033. eCollection 2021 Apr.
The objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet.
We extended code, initially developed for healthcare analytics research, to serve the clinical need for quality monitoring of diabetes. We built an application, with a graphical interface, which can be run locally without any internet connection.
We verified that our code produced results identical to prior work in glucometrics. We extended the prior work by including additional metrics and by providing user customizability. The software has been used at an academic healthcare institution.
We successfully translated code used for research methods into an open source, user-friendly tool which hospitals may use to expedite quality measure computation for the management of inpatients with diabetes.
本研究的目的是通过提供一个用于计算血糖指标的开源工具，促进对住院患者血糖控制质量的监测。为消除监管和隐私方面的担忧，该工具可在本地使用；无需将数据上传到互联网。
我们扩展了最初为医疗保健分析研究而开发的代码，以满足糖尿病质量监测的临床需求。我们构建了一个带有图形界面的应用程序，该程序可以在无任何互联网连接的情况下在本地运行。
我们验证了我们的代码所产生的结果与之前在血糖指标方面的工作相同。我们通过纳入额外的指标并提供用户可定制性对之前的工作进行了扩展。该软件已在一家学术性医疗机构中使用。
我们成功地将用于研究方法的代码转化为一个开源的、用户友好的工具，医院可以使用该工具来加快对糖尿病住院患者管理的质量指标计算。
