数据质量、计算模型和远程医疗治疗效果

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2014-10-01 DOI:10.1109/HealthCom.2014.7001870

N. Larburu, R. Bults, I. Widya, H. Hermens

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引用次数: 9

摘要

远程医疗系统的临床决策支持功能利用患者监测的临床数据来支持门诊患者的治疗。然而，监测临床数据的质量可能会因部署的远程医疗系统内技术资源的性能变化而有所不同。本文讨论了在监测点和决策点之间的数据处理和传递链上，技术资源所提供的服务质量对临床数据质量影响的计算模型。我们与医生讨论临床数据质量退化对门诊治疗的预期影响，并在设计时将这些影响应用于临床决策过程。因此，所设计的远程医疗系统具有技术背景和质量意识，并保证了患者的安全和治疗效果。

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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Quality of data computational models and telemedicine treatment effects

Clinical decision-support functions of telemedicine systems use patient's monitored clinical data to support treatment of outpatients. However, the quality of monitored clinical data may vary due to performance variations of technological resources inside a deployed telemedicine system. This paper discusses models to compute quality of clinical data affected by quality of service provided by technological resources along the data processing and delivery chain between the point of monitoring and point of decision. We discuss prospective effects of quality of clinical data degradation on outpatient treatment with medical practitioners, and implement these effects in the clinical decision-making process during design time. Consequently, the designed telemedicine system is technological context and quality-aware and preserves patient's safety and treatment efficacy.

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来源期刊

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)

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