Improving Patient Safety and Quality of Care with a Speech Translation Device

使用语音翻译设备提高患者安全和护理质量

• 批准号: 7302175
• 负责人: Farzad Ehsani
• 金额: $ 45.26万
• 依托单位: FLUENTIAL, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-28 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7302175
• 关键词: Adopted; Attitude; Caring; Clinical; Code; Communication; Data; Data Collection; Devices; Evaluation; Failure; Family; Feeling; Focus Groups; Frequencies; Friends; Goals; Government; Hand; Hospital Nursing; Hospitals; Hour; Human; Interview; Language; Laws; Measures; Medical; Medical center; Medical-Surgical Nursing; Methods; Military Personnel; Modeling; Monitor; Nurses; Nursing Models; Operative Surgical Procedures; Outcome; Pain; Patient Care; Patient Education; Patients; Performance; Persons; Phase; Process; Purpose; Quality of Care; Range; Recruitment Activity; Research; Rest; Risk; Safety; San Francisco; Score; Solid; Speech; Staging; Surveys; System; Techniques; Technology; Telephone; Testing; Training; Translating; Translations; Work; base; cost; experience; hospital patient care; improved; patient safety; tool

DESCRIPTION (provided by applicant): The goal of this project is to demonstrate that speech translation technology can be used to remove language barriers between nurses and non-English-speaking patients in a hospital setting. In Phase I, the hypothesis is that speech translation technology that has been developed for the U.S. military can be adapted for use by nurses to communicate effectively with their non-English-speaking patients. For Phase I, Sehda will create and implement a 2-way speech translation system that will enable nurses at Kaiser Permanente Medical Center in San Francisco to communicate with Spanish speaking patients for five common patient-care activities, including assessing and managing pain. The goal is to use the system with at least 5 nurses and 25 patients for a minimum of 50 nurse-patient encounters and establish a baseline of system accuracy. Phase I will involve five tasks: (1) Sehda will define the scope of the interactions the system will enable by getting input from nurses through key informant interviews and focus groups. (2) The company will then collect data to model nurse-patient interactions by recording actual nurse-patient interactions in the hospital and by recruiting Spanish speakers to call Sehda's telephone-based data collection system. Sehda will transcribe the recordings and use the data to build language and translation models. (3) Sehda will then build the speech translation system on its S-MINDS platform. (4) Sehda will monitor the system's performance as nurses use it with their Spanish-speaking patients. During this stage, Sehda will record and transcribe all interactions for later analysis, and nurses and patients will be surveyed on their experiences with the system. (5) At this point, Sehda will isolate the conversation segments and code them for accuracy to objectively assess the system's performance. The company will also evaluate nurse and patient attitudes toward using the speech translation system. The goals for Phase II are to demonstrate that speech translation technology can be more accurate than ad hoc interpreters and as accurate as trained interpreters when used for specific types of interactions and that nurses and patients will adopt the technology as a routine part of patient care. In Phase II, Sehda will add Cantonese to the system and expand the range of nurse activities for which the system can translate. Sehda will conduct a similar set of activities as in Phase I but on a much larger scale-collect speech data, build and test system, monitor system use with patients, and evaluate results. In this phase, Sehda will also be comparing the system's performance with the performance of human interpreters, including professional in-person interpreters, telephone-based interpreters, and ad hoc interpreters such as friends and family of the patient and non-clinical bilingual hospital staff.

描述（由申请人提供）：本项目的目标是证明语音翻译技术可以用来消除医院环境中护士和非英语患者之间的语言障碍。第一阶段的假设是，为美国军方开发的语音翻译技术可以被护士用于与非英语患者进行有效沟通。在第一阶段，Sehda将创建并实施一个双向语音翻译系统，使旧金山弗朗西斯科医疗中心的护士能够与讲西班牙语的患者进行五种常见的患者护理活动，包括评估和管理疼痛。我们的目标是使用该系统与至少5名护士和25名患者至少50护士-患者接触，并建立系统准确性的基线。 第一阶段将涉及五项任务：（1）Sehda将通过关键知情人访谈和焦点小组从护士那里获得信息，从而确定该系统将实现的互动范围。(2)然后，该公司将收集数据，通过记录医院中实际的护患互动，并招募讲西班牙语的人拨打Sehda的电话数据收集系统，来模拟护患互动。Sehda将转录这些录音，并使用这些数据来构建语言和翻译模型。 (3)Sehda将在其S-MINDS平台上构建语音翻译系统。(4)Sehda将监控该系统的性能，因为护士使用它与他们的西班牙语患者。在此阶段，Sehda将记录和转录所有互动，以供日后分析，护士和患者将接受调查，了解他们使用该系统的经验。(5)在这一点上，Sehda将隔离对话片段并对其进行编码，以确保准确性，从而客观地评估系统的性能。该公司还将评估护士和病人对使用语音翻译系统的态度。第二阶段的目标是证明语音翻译技术可以比临时口译员更准确，并且在用于特定类型的交互时与训练有素的口译员一样准确，并且护士和患者将采用该技术作为患者护理的常规部分。在第二阶段，Sehda将在系统中添加粤语，并扩大系统可以翻译的护士活动范围。Sehda将进行与第一阶段类似的一系列活动，但规模要大得多-收集语音数据，构建和测试系统，监控系统在患者中的使用，并评估结果。在此阶段，Sehda还将比较系统的性能与人工口译员的性能，包括专业的现场口译员，电话口译员和临时口译员，如患者的朋友和家人以及非临床双语医院工作人员。