Division of Endourology, Department of Urology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
School of Information, University of Michigan, Ann Arbor, Michigan, USA.
J Endourol. 2021 Mar;35(3):285-288. doi: 10.1089/end.2020.0168. Epub 2020 Oct 23.
As many as 12.5% of patients who undergo ureteral stent placement fail to have their stent removed in a timely manner. Because retained stents can be a source of substantial morbidity, there is a need for solutions to help urologists track their stented patients. We developed a cloud-based software that is agnostic to the device manufacturer and can be seamlessly integrated into the electronic health record (EHR). The software automatically registers patients who undergo ureteral stent placement and then follows them through their postoperative course to ensure timely follow-up for device removal. To validate our software's performance, we reviewed the medical records of patients who underwent stent placement for any indication at our institution between February 1, 2018, and February 28, 2018. During our 1-month pilot study, a total of 51 ureteral stents were placed during 49 procedures that were performed on 46 patients. Our software effectively captured all of these procedures. It was able to properly distinguish 31 procedures where the patient who underwent stenting had follow-up scheduled before surgery. More importantly, it alerted our schedulers to 18 procedures for which no return visit had been scheduled. Furthermore, our software was able to register follow-up attendance, correctly identifying 10 procedures where patients failed to arrive. We describe a high-fidelity software solution for automated tracking of ureteral stents that is agnostic to the device manufacturer and can be seamlessly integrated into the EHR, causing minimal disruption to provider workflows.
多达 12.5%接受输尿管支架置入术的患者未能及时取出支架。由于留置支架会导致严重的发病率,因此需要解决方案来帮助泌尿科医生跟踪他们的支架患者。我们开发了一种基于云的软件,与设备制造商无关,可以无缝集成到电子健康记录 (EHR) 中。该软件自动登记接受输尿管支架置入术的患者,然后跟踪他们的术后过程,以确保及时进行设备移除的随访。为了验证我们软件的性能,我们回顾了 2018 年 2 月 1 日至 2018 年 2 月 28 日期间在我们机构因任何适应症接受支架置入术的患者的病历。在我们为期 1 个月的试点研究中,共有 51 个输尿管支架在 49 次手术中放置,涉及 46 名患者。我们的软件有效地捕获了所有这些程序。它能够正确区分 31 例在手术前已安排随访的患者的手术。更重要的是,它提醒我们的调度员注意 18 例未安排复诊的手术。此外,我们的软件能够登记随访出席情况,并正确识别 10 例患者未到场的手术。我们描述了一种高保真的输尿管支架自动跟踪软件解决方案,与设备制造商无关,可以无缝集成到 EHR 中,对提供者的工作流程几乎没有干扰。