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Automatic System Testing of a Decision Support System for Insulin Dosing Using Google Android

机译：使用Google Android的胰岛素加药决策支持系统的自动系统测试

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摘要

Hyperglycaemia in hospitalized patients is a common and costly health care problem. The GlucoTab system is a mobile workflow and decision support system, aiming to facilitate efficient and safe glycemic control of non-critically ill patients. Being a medical device, the GlucoTab requires extensive and reproducible testing. A framework for high-volume, reproducible and automated system testing of the GlucoTab system was set up applying several Open Source tools for test automation and system time handling. The REACTION insulin titration protocol was investigated in a paper-based clinical trial (PBCT). In order to validate the GlucoTab system, data from this trial was used for simulation and system tests. In total, 1190 decision support action points were identified and simulated. Four data points (0.3%) resulted in a GlucoTab system error caused by a defective implementation. In 144 data points (12.1%), calculation errors of physicians and nurses in the PBCT were detected. The test framework was able to verify manual calculation of insulin doses and detect relatively many user errors and workflow anomalies in the PBCT data. This shows the high potential of the electronic decision support application to improve safety of implementation of an insulin titration protocol and workflow management system in clinical wards.
机译：住院患者的高血糖症是常见且昂贵的医疗保健问题。 GlucoTab系统是一个移动工作流程和决策支持系统，旨在促进对非危重患者的有效和安全的血糖控制。作为医疗设备，GlucoTab需要广泛且可重复的测试。建立了用于GlucoTab系统的大批量，可复制和自动化系统测试的框架，并使用多个开源工具进行了测试自动化和系统时间处理。在基于纸质的临床试验（PBCT）中研究了REACTION胰岛素滴定方案。为了验证GlucoTab系统，该试验的数据用于仿真和系统测试。总共确定并模拟了1190个决策支持行动要点。四个数据点（0.3％）导致GlucoTab系统错误，该错误是由错误的实现引起的。在144个数据点（12.1％）中，检测到PBCT中医生和护士的计算错误。该测试框架能够验证胰岛素剂量的手动计算，并在PBCT数据中检测到相对较多的用户错误和工作流程异常。这表明电子决策支持应用程序具有提高临床病房中胰岛素滴定协议和工作流管理系统实施安全性的巨大潜力。

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  • 来源
    《》|2013年|187-191|共5页
  • 会议地点 Prague(CZ)
  • 作者

    Stephan SPAT; Bemhard HOELL; Georg PETRITSCH; Lukas SCHAUPP; Peter BECK; Thomas R. PIEBER;

  • 作者单位

    JOANNEUM RESEARCH Forschungsgesellschaft mbH, Institute for Biomedicine and Health Sciences,Elisabethstrasse 5, 8010 Graz, Austria;

    Medical University of Graz, Department of Internal Medicine, Division of Endocrinology and Nuclear Medicine, Graz, Austria;

    JOANNEUM RESEARCH Forschungsgesellschaft mbH, Institute for Biomedicine and Health Sciences, Graz, Austria;

    Medical University of Graz, Department of Internal Medicine, Division of Endocrinology and Nuclear Medicine, Graz, Austria;

    JOANNEUM RESEARCH Forschungsgesellschaft mbH, Institute for Biomedicine and Health Sciences, Graz, Austria;

    JOANNEUM RESEARCH Forschungsgesellschaft mbH, Institute for Biomedicine and Health Sciences, Graz, Austria,Medical University of Graz, Department of Internal Medicine, Division of Endocrinology and Nuclear Medicine, Graz, Austria;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Diabetes; decision support system; automatic testing; Google Android; simulation;

    机译：糖尿病;决策支持系统;自动测试； Google Android；模拟;

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