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首页> 外文期刊>Journal of the American Medical Informatics Association : >An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data.
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An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data.

机译:使用临床,计费和患者输入的数据进行药物依从性评估和改善的信息学方法。

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摘要

The aim of this study was to describe an integrated informatics approach to aggregating and displaying clinically relevant data that can identify problems with medication adherence and facilitate patient-provider communication about strategies to improve medication use. We developed a clinical dashboard within an electronic health record (EHR) system that uses data from three sources: the medical record, pharmacy claims, and a personal health record. The data are integrated to inform clinician-patient discussions about medication adherence. Whereas prior research on assessing patterns of medication adherence focused on a single approach using the EHR, pharmacy data, or patient-entered data, we present an approach that integrates multiple electronic data sources increasingly found in practice. Medication adherence is a complex challenge that requires patient and provider team input, necessitating an integrated approach using advanced EHR, clinical decision support, and patient-controlled technologies. Future research should focus on integrated strategies to provide patients and providers with the right combination of informatics tools to help them adequately address the challenge of adherence to complex medication therapies.
机译:这项研究的目的是描述一种综合信息学方法,以汇总和显示临床相关数据,这些数据可以识别药物依从性问题,并促进患者与供应商就改善药物使用策略进行沟通。我们在电子健康记录(EHR)系统中开发了一个临床仪表板,该系统使用了三个来源的数据:医疗记录,药房索赔和个人健康记录。数据被整合以告知临床医生-患者有关药物依从性的讨论。先前有关评估药物依从性模式的研究集中于使用EHR,药房数据或患者输入的数据的单一方法,而我们提出了一种方法,该方法将实践中越来越多的多个电子数据源整合在一起。药物依从性是一项复杂的挑战,需要患者和提供者团队的投入,因此需要采用先进的EHR,临床决策支持和患者控制技术的综合方法。未来的研究应侧重于为患者和提供者提供正确的信息学工具组合的综合策略,以帮助他们充分应对坚持复杂药物疗法的挑战。

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