COMPUTER ASSISTED PATIENT INTERVIEWING IN CLINICAL PHARMACY

临床药学中计算机辅助患者会诊

• 批准号: 3774960
• 负责人: J M DELEO
• 金额: --
• 依托单位: CENTER FOR INFORMATION TECHNOLOGY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3774960
• 关键词: automated medical record system; chemical information system; child (0-11); computer assisted patient care; computer human interaction; computer system design /evaluation; drug adverse effect; drug interactions; human subject; immunization; information systems; interview; patient /disease registry; pharmacists; pharmacy; pharmacy administration; therapy compliance

As clinical pharmacists become more involved in direct patient care by dispensing medication information and helping to identify potential drug interaction-induced health hazards, they must keep abreast of new drug information, allocate more one-on-one time for patients, and maintain effective interviewing skills. In support of these activities, CSL began a collaboration in 1990 with the NIH Clinical Center Pharmacy Department. The objective was to develop a computer interviewing system that collects medication histories, dispenses medication information to patients, and detects possible untoward events related to medication regimens, thereby making more pharmacist time available for patients who are not candidates for computer interviewing. Warnings generated by this system could aid in focusing the pharmacist-patient interaction. The initial version of the medication history system developed, tested, and reported in FY91, included system interview scripts for patient demographics, health history, and drug usage. A concise summary report is produced after the interview. In FY92 the interview scripts and adverse drug reaction (ADR) thesaurus were refined and a comprehensive report describing ADR's sorted by body systems was prepared and submitted to USP to assist in standardizing future ADR terminology. Database modules were designed to support adverse drug reaction and drug-drug interaction detection and programs were created for patient drug information and physician drug monitoring information retrieval. Also, a neural network module for adverse drug reaction detection was developed that demonstrated improvement over a previous multi-level system evaluation scheme. Completion and integration of all program modules and database components, and initiation of formal testing and evaluation of the completed system are planned for FY93.

随着临床药剂师的参与 分发药物信息并帮助识别潜在的药物 相互作用引起的健康危害，他们必须与新药保持同步 信息，为患者分配更多一对一的时间，并维护 有效的面试技巧。 为了支持这些活动，CSL开始 1990年与NIH临床中心药房的合作。 目的是开发一种计算机采访系统，以收集 用药史，向患者分发药物信息，以及 检测与药物方案有关的可能的不良事件，从而 为非候选人的患者提供更多的药剂师时间 用于计算机采访。 该系统产生的警告可以帮助 聚焦药剂师与患者相互作用。 药物历史系统的初始版本开发，测试和 在91财年报告，包括患者的系统访谈脚本 人口统计，健康史和药物使用情况。 简明的摘要报告是 采访后生产。 在92财年，访谈脚本和不良药物反应（ADR）词库 被完善，并一份综合报告描述了ADR的分类 准备系统并提交给USP，以协助标准化未来 ADR术语。 设计数据库模块以支持不良药物 为创建了反应和药物的互动检测和程序 患者药物信息和医师药物监测信息 检索。 另外，用于不良药物反应的神经网络模块 开发了检测，证明了先前的改善 多层系统评估方案。 所有程序模块和数据库组件的完成和集成， 并开始对完成系统的正式测试和评估 计划在93财年进行。