Data Pipeline for Digitizing Perioperative Flowsheets from Low Middle Income Countries

Christos Chen, M. Guirguis, D. Klein, Donald Brown, Marcel Durietix, Bhiken L. Naik, Christian Ndaribitse
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Abstract

In Rwanda and many low-and-middle-income countries (LMIC), surgical, critical care, and anesthesia flowsheets are handwritten by medical professionals due to the lack of digital infrastructure necessary to support digitization systems. Therefore, many LMIC lack macro-level health data that can be utilized to quantify and improve existing healthcare outcomes. Literature has championed post operative mortality rate (POMR) as a key indicator for institutional and national surgical safety [1]. Many surgical operations deemed as “low-risk” in high income countries (HIC) have a surgical mortality rate in LMIC more than ten times that of HIC[2]. Striving to lower POMR in LMIC, the University of Virginia (UVA) is partnering with the University Teaching Hospital of Kigali in Rwanda (CHUK) to digitize anesthesia and intraoperative paper health records. Over the past two years, UVA student capstone teams have contributed in establishing a consistent and reliable system to scan and obtain the surgical flowsheets. The focus of 2021–2022 is to design and implement a data pipeline system that enables Rwandan medical professionals at CHUK to digitize paper surgical flowsheets via a mobile application and receive rapid risk-based notifications. The application enables medical professionals to quickly engage with pertinent perioperative data relevant for improving patient outcomes while also ensuring secure storage of the data, which in turn enables macro-level research for Rwanda's healthcare system. The design presented in this paper enables the user to rapidly upload anesthesia records and receive an email notification regarding hypotension risk data in, on average, 37 seconds. Leveraging AWS storage enables 1000 GB per month and demand-based scaling, dwarfing previous storage capabilities. Compared to the previous system, the average upload time decreased 81.7% from 40 seconds to 7.34 seconds with the usage of the newly designed system. In addition, the new system does not lead to an increase in system failures, where the user is unable to proceed with the usage of the application, which remains at 0% in the newly designed version.
中低收入国家围手术期流程数字化的数据管道
在卢旺达和许多低收入和中等收入国家(LMIC),由于缺乏支持数字化系统所需的数字基础设施,外科、重症监护和麻醉流程由医疗专业人员手写。因此,许多低收入和中等收入国家缺乏可用于量化和改善现有医疗保健结果的宏观层面的健康数据。文献支持将术后死亡率(POMR)作为机构和国家手术安全的关键指标[1]。许多在高收入国家(HIC)被视为“低风险”的外科手术,在中低收入国家(LMIC)的手术死亡率是高收入国家(HIC)的十倍以上[2]。为了降低低收入国家的POMR,弗吉尼亚大学(UVA)正在与卢旺达基加利大学教学医院(CHUK)合作,将麻醉和术中纸质健康记录数字化。在过去的两年里,弗吉尼亚大学的学生顶点团队为建立一个一致和可靠的系统来扫描和获取手术流程做出了贡献。2021-2022年的重点是设计和实施一个数据管道系统,使CHUK的卢旺达医疗专业人员能够通过移动应用程序将纸质手术流程数字化,并快速接收基于风险的通知。该应用程序使医疗专业人员能够快速处理与改善患者预后相关的相关围手术期数据,同时确保数据的安全存储,从而为卢旺达的医疗保健系统提供宏观层面的研究。本文提出的设计使用户能够快速上传麻醉记录,并在平均37秒内收到有关低血压风险数据的电子邮件通知。利用AWS存储可以实现每月1000gb的容量和基于需求的扩展,使以前的存储功能相形见绌。与之前的系统相比,使用新系统后,平均上传时间从40秒减少到7.34秒,减少了81.7%。此外,新系统不会导致系统故障的增加,在这种情况下,用户无法继续使用应用程序,在新设计的版本中,这一比例保持在0%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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