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Assessing the Quality of Teleconsultations in a Store-And-Forward Telemedicine Network a?? Long-Term Monitoring Taking into Account Differences between Cases

机译:在存储转发型远程医疗网络中评估远程咨询质量?长期监控,考虑案例之间的差异

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We have previously proposed a method for assessing the quality of individual teleconsultation cases; this paper proposes an additional step to allow the long-term monitoring of quality. The basic scenario is a teleconsultation system (aka an e-referral system or a tele-expertise system) where the referrer posts a question about a clinical case, the question is relayed to an appropriate expert, and the chosen expert provides an answer. The people running this system want assurances that it is stable, i.e., they want routine quality assurance information about the “output” from the “process.” This requires two things. It needs a method of assessing the quality of individual patient consultations. And it needs a method for taking into account differences between patients, so that these quality assessments can be compared longitudinally. Building on the previously proposed methodology, the present paper proposes two techniques for measuring the difficulty posed by a particular teleconsultation. The first is an indirect method, similar to a willingness to pay economic estimation. The second is a direct method. Using these two methods with real data from a telemedicine network showed that the first method was feasible, but did not produce useful results in a pilot trial. The second method, while more laborious, was also feasible and did produce useful results. Thus, when output quality is measured, an allowance can be made for the characteristics of the case submitted. This means that fluctuations in output quality can be attributed to variations in the process (network) or to variations in the raw materials (queries submitted to the network). Long-term quality assurance should assist those providing telemedicine services in low-resource settings to ensure that the services are operated effectively and efficiently, despite the constraints and complexities of the environment.
机译:我们之前已经提出了一种评估远程会诊案例质量的方法。本文提出了一个额外的步骤,可以对质量进行长期监控。基本方案是远程咨询系统(又称为电子转诊系统或远程专家系统),其中推荐人发布有关临床病例的问题,该问题转交给适当的专家,然后由选定的专家提供答案。运行此系统的人员需要保证它的稳定性,即,他们需要有关“过程”中“输出”的常规质量保证信息。这需要两件事。它需要一种评估个别患者咨询质量的方法。并且需要一种考虑患者之间差异的方法,以便可以纵向比较这些质量评估。在先前提出的方法的基础上,本论文提出了两种用于测量特定远程咨询所带来的困难的技术。第一种是间接方法,类似于愿意进行经济估算的方法。第二种是直接方法。将这两种方法与来自远程医疗网络的真实数据结合使用表明,第一种方法是可行的,但在试点试验中并未产生有用的结果。第二种方法虽然比较费力,但也是可行的,确实产生了有用的结果。因此,在测量输出质量时,可以考虑所提交案件的特征。这意味着输出质量的波动可以归因于过程(网络)的变化或原材料的变化(提交给网络的查询)。长期的质量保证应协助那些在资源匮乏的环境中提供远程医疗服务的人,以确保尽管受到环境的限制和复杂性的影响,这些服务仍可以有效地运行。

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