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首页> 外文会议>International and interdisciplinary conference on modeling and using context >Understanding the Patient 2.0 Gaining Insight into Patients' Rating Behavior by User-Generated Physician Review Mining
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Understanding the Patient 2.0 Gaining Insight into Patients' Rating Behavior by User-Generated Physician Review Mining

机译：了解患者2.0通过用户生成的医师评论挖掘了解患者的评分行为

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Patients 2.0 increasingly inform themselves about the quality of medical services on physician rating websites. However, little is known about whether the reviews and ratings on these websites truly reflect the quality of services or whether the ratings on these websites are rather influenced by patients' individual rating behavior. Therefore, we investigate more than 790,000 physician reviews on Germany's most used physician rating website jameda.de. Our results show that patients' ratings do not only reflect treatment quality but are also influenced by treatment quality independent factors like age and complaint behavior. Hence, we provide evidence that users should be well aware of user specific rating distortions when intending to make their physician choice based on these ratings.
机译：患者2.0在医师评级网站上越来越了解医疗服务的质量。但是，人们对这些网站上的评论和评分是否真正反映了服务质量或这些网站上的评分是否受到患者个人评分行为的影响知之甚少。因此，我们在德国最常用的医师评分网站jameda.de上调查了790,000多个医师评论。我们的结果表明，患者的评分不仅反映了治疗质量，而且还受到年龄和主诉行为等与治疗质量无关的因素的影响。因此，我们提供的证据表明，当用户打算根据这些评分做出医生选择时，用户应该充分了解用户特定的评分失真。

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