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首页> 外文期刊>Journal of applied mathematics >Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare
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Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare

机译：医疗保障风险分析的自适应故障识别及其对电子医疗保健的应用

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To satisfy the requirement for diverse risk preferences, we propose a generic risk priority number (GRPN) function that assigns a risk weight to each parameter such that they represent individual organization/department/process preferences for the parameters. This research applies GRPN function-based model to differentiate the types of risk, and primary data are generated through simulation. We also conduct sensitivity analysis on correlation and regression to compare it with the traditional RPN (TRPN). The proposed model outperforms the TRPN model and provides a practical, effective, and adaptive method for risk evaluation. In particular, the defined GRPN function offers a new method to prioritize failure modes in failure mode and effect analysis (FMEA). The different risk preferences considered in the healthcare example show that the modified FMEA model can take into account the various risk factors and prioritize failure modes more accurately. In addition, the model also can apply to a generic e-healthcare service environment with a hierarchical architecture.
机译：为了满足不同风险偏好的要求，我们提出了一种通用风险优先级（GRPN）函数，该函数为每个参数分配风险权重，使得它们代表参数的个体组织/部门/处理偏好。本研究适用于基于GRPN功能的模型来区分风险类型，并且通过模拟生成主要数据。我们还对相关性和回归进行敏感性分析，以将其与传统RPN（TRPN）进行比较。所提出的模型优于TRPN模型，提供了一种实用，有效和适应性的风险评估方法。特别是，定义的GRPN函数提供了一种新方法，可以在故障模式下优先考虑故障模式和效果分析（FMEA）。医疗保健示例中考虑的不同风险偏好表明，改进的FMEA模型可以考虑各种风险因素，更准确地考虑失效模式。此外，该模型还可以应用于具有分层体系结构的通用电子医护服务环境。

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