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EXPLANATION IN THE CLINICAL SETTING

EXPLANATION IN THE CLINICAL SETTING
临床环境中的解释
批准号:
3374317
负责人:
BRUCE G. BUCHANAN
金额:
$40.13万
依托单位国家:
美国
项目类别:
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-05-01 至 1994-04-30

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中文摘要
翻译
我们的长期目标是提高医生的整体效率 时间,从而通过改善医疗保健的质量 临床中医患双方的信息交流 设置。许多疾病的成功治疗不仅需要 有效的诊断和治疗工具,但也有工具或技能 确保医生和患者的信息需求都得到满足。 我们建议设计、实现和测试一个交互信息 专为医生和成年偏头痛患者设计的系统 通过两种方式节省医生的时间:(A)收集患者的数据和 在每次就诊前总结患者的情况,以及(B)解释 医生对病人的指示和回答病人的问题。这个 系统将拥有涵盖生理学知识的知识库 偏头痛的机制,常见的治疗方法,以及最常见的 这些疗法的效果和副作用。计算机系统将 由两个主要程序组成:(A)收集 每次就诊前来自患者的信息,并总结患者 医生的状态,以及(B)智能接口,它将 用日常语言向患者解释,并做出回应 聪明地回答后续问题。我们建议评估 通过在两个月内向患者提供这种系统的影响 不同的临床,测量使用它的临床结果 不同变量的数量。最后,我们建议将设计作为基础 我们的系统对实际给出的解释进行了实证研究 诊所。
英文摘要
Our long-term goal is to improve the overall effectiveness of physicians' time, and thus improve the quality of health care, by improving the information exchange between physicians and patients in clinical settings. Successful treatment of many diseases requires not only effective tools for diagnosis and therapy but also tools or skills that ensure that both physicians' and patients' information needs are met. We propose to design, implement, and test an interactive information system for physicians and adult migraine patients that is designed to save physicians' time in two ways: (a) collecting data from patients and summarizing patient status before each visit, and (b) explaining physicians' instructions to and answering questions by patients. The system will have a knowledge base that covers the physiological mechanisms for migraines, the common therapies, and the most common effects and side effects of those therapies. The computer system will consist of two main programs: (a) an interactive front-end that collects information from patients prior to each visit and summarizes the patient status for the physician, and (b) an intelligent interface, which will deliver explanations in everyday language to patients, and respond intelligently to follow-up questions. We propose to evaluate the effects of such a system by making it available to patients in two different clinics, measuring the clinical outcomes of its use along a number of different variables. Finally, we propose to base the design of our system on empirical studies of explanations actually given in the clinic.
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