课题基金 / 基金详情

Protect Patient Safety Through Herb-Drug-Disease Interaction Detection and Alert

Protect Patient Safety Through Herb-Drug-Disease Interaction Detection and Alert
通过草药-药物-疾病相互作用检测和警报保护患者安全
批准号:
9223149
负责人:
QING ZENG
金额:
$9.82万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-02-12 至 2017-07-31

项目摘要

项目成果

QING ZENG的其他基金

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相关文献

中文摘要
翻译
项目摘要 补充和替代医学(CAM)的使用在患者中很普遍。虽然许多 CAM实践被认为是安全的(例如瑜伽),基于生物学的CAM可以与 处方药和影响患者的结果。我们将集中讨论一种生物学上的- 基于CAM,草药产品,在这项研究。尽管存在安全问题,但缺乏病人- 关于CAM的临床医生沟通使得难以评估和减轻草药的风险, 药物-疾病相互作用此外,许多供应商和消费者缺乏草药知识, 药我们提出了一个信息化的解决方案,以改善CAM通信, 医生和患者的潜在安全问题。随着时间的推移,改进后的文档可以 也为生物基CAM的有效性和安全性研究提供数据。在这 项目,我们将专注于心血管疾病患者。具体目标是:1. 开发一个计算机访问应用程序,直接从患者那里收集CAM数据; 2.发展 警报系统,用于检测草药-药物-疾病的相互作用,并向医生和患者发出警报; 3.评估CAM数据收集和警报系统是否可以帮助患者和医生识别 服用可能有害的产品,增加患者与医生关于CAM的沟通, 并触发防止草药-药物-疾病相互作用的行动。
英文摘要
Project Abstract Complementary and alternative medicine (CAM) usage is prevalent in patients. While many CAM practices are considered safe (e.g. yoga), biologically-based CAM could interact with prescription medications and impact patients' outcomes. We will focus on a type of biologically- based CAM, herbal products, in this study. Despite the safety concerns, the lack of patient- clinician communication regarding CAM makes it difficult to assess and mitigate the risk of herb- drug-disease interactions. In addition, many providers and consumers lack knowledge of herbal medicine. We propose an informatics solution to improve CAM communication, and alert physicians and patients of potential safety issues. Over time, the improved documentation could also provide data for research on the efficacy and safety of biologically-based CAM. In this project, we will focus on patients with cardiovascular diseases. The specific aims are: 1. Develop a computer interview application to collect CAM data directly from patients; 2. Develop an alert system to detect herb-drug-disease interactions and alert both physicians and patients; 3. Evaluate if the CAM data collection and alert system can help patients and physicians identify potentially harmful products being taken, increase patient-physician communication about CAM, and trigger actions to prevent herb-drug-disease interactions.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Differences in nationwide cohorts of acupuncture users identified using structured and free text medical records.
使用结构化和自由文本医疗记录识别全国针灸使用者群体的差异。
DOI: --
发表时间: 2014
期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子: --
作者: [Redd,Doug, Kuang,Jinqiu, Zeng-Treitler,Qing]
通讯作者: Zeng-Treitler,Qing
Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data.
开发警报系统,利用医疗记录数据检测药物与草药补充剂的相互作用。
DOI: --
发表时间: 2014
期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子: --
作者: [Archer,Melissa, Proulx,Joshua, Shane-McWhorter,Laura, Bray,BruceE, Zeng-Treitler,Qing]
通讯作者: Zeng-Treitler,Qing
DOI: 10.1186/s12906-017-1630-6
发表时间: 2017-05-19
期刊: BMC complementary and alternative medicine
影响因子: --
作者: [Christensen CM, Morris RS, Kapsandoy SC, Archer M, Kuang J, Shane-McWhorter L, Bray BE, Zeng-Treitler Q]
通讯作者: Zeng-Treitler Q
Maximizing clinical cohort size using free text queries.
使用自由文本查询最大化临床队列规模。
DOI: 10.1016/j.compbiomed.2015.01.008
发表时间: 2015
期刊: Computers in biology and medicine
影响因子: 7.7
作者: [Gundlapalli,AdiV, Redd,Doug, Gibson,BryanSmith, Carter,Marjorie, Korhonen,Chris, Nebeker,Jonathan, Samore,MatthewH, Zeng-Treitler,Qing]
通讯作者: Zeng-Treitler,Qing
Consistency of Uses of ICD Codes for Retrospective Data Analysis
Assist Patients with Medication Decisions
  • 批准号:
    9224000
  • 项目类别:
  • 资助金额:
    $21.49万
  • 财政年份:
    2016
  • 负责人:
    QING ZENG
  • 依托单位:
Graphics to Enhance Health Education Materials for Underrepresented Populations
  • 批准号:
    8725230
  • 项目类别:
  • 资助金额:
    $9.87万
  • 财政年份:
    2013
  • 负责人:
    QING ZENG
  • 依托单位:
Cognitive Support for Shared Decision Making Using Veterans Like Me
海外基金