Capturing Patient-Provider Encounter through Text Speech and Dialogue Processing

通过文本语音和对话处理捕捉患者与提供者的相遇

• 批准号: 7934200
• 负责人: PETER SZOLOVITS
• 金额: $ 15.3万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-30 至 2010-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7934200
• 关键词: Address; Adopted; Arts; Beds; Biomedical Research; Boston; Child; Childhood; Clinic; Clinical; Clinical Data; Collaborations; Collection; Communication; Computer Systems; Computer Systems Development; Computer software; Computers; Conflict (Psychology); Data; Diagnosis; Discipline of Nursing; Disease; Documentation; Environment; Environmental Health; Evaluation; Feedback; Genetic Transcription; Goals; Health Personnel; Healthcare; Individual; Lead; Linguistics; Manuals; Medical; Medical Records; Medical Research; Memory; Methods; Modeling; Paper; Patients; Pediatric Hospitals; Pharmaceutical Preparations; Privacy; Process; Provider; Records; Research; Research Ethics Committees; Research Personnel; Resources; Rest; Running; Series; Signs and Symptoms; Speech; Stream; Structure; System; Techniques; Technology; Test Result; Testing; Text; Time; Transcript; Visit; Visual; Work; base; clinical care; clinically significant; design; electronic recording system; experience; improved; information organization; new technology; patient safety; prototype; research study; response; speech recognition; success; translational medicine

Project Summary Complete and accurate collection of clinical data in the course of health care is a long-standing goal that has not been achieved either by manual record-keeping or through electronic record systems. This proposed project addresses the problem from the beginning of the clinical process, by aiming to improve the capture of relevant medical facts during the face-to-face interaction between a patient and provider. Instead of relying on the provider's fallible memory to record facts after the visit, the proposed system will "listen" to the conversation, use automatic speech recognition to produce an (imperfect) record of what was said, and apply a variety of text analysis and extraction methods to create a draft record of the encounter. Further, it will provide an interface that should permit patients and providers to examine the facts that were recorded and to correct and complete them, also using speech as the primary interface. The projects aims are to develop and integrate the components needed to accomplish this goal, to create a testbed in collaboration with researchers at the environmental health clinic of a children's hos- pital in which experiments can guide system development and assess progress, and to conduct a series of evaluations that assess a series of objectives. First, the research will characterize the ability of the speech recognition, information extraction and information organization components to process the target conversations. Second, it will evaluate the hypothesis that this system can collect a more complete and accurate record than what is routinely collected. Subsequently, it will evaluate the time taken by clinicians to use the system, the extent to which the system is seen to disrupt the patient-provider encounter, the ability of patients to use the system to make additions and corrections to their records, and the subjective response of both patients and providers to use of the system. Success in this effort should lead to better clinical care that is based on more complete and accurate data. In addition, clinical data are also becoming an important resource in the conduct of translational medicine research, where improved data are obviously highly valuable. Project Narrative A well-organized, complete and accurate record of clinical encounters can form the bedrock of data on which both clinical care and clinical and biomedical research can rest. This project applies state of the art and novel technologies to "listen" to and interpret encounters between patients and health care providers to create such records. Its success should lead to better health care and greater possibilities for using clinical data in medical research.

项目摘要 在医疗保健过程中，完整而准确的临床数据是一个长期的目标 手动记录保存或电子记录系统尚未实现这一点。这 拟议的项目从临床过程开始就解决了问题，以改善 在患者和提供者之间面对面互动期间，捕获相关的医疗事实。 拟议的系统没有依靠提供商的易犯错误记忆来记录事实 将“听”对话，使用自动语音识别来产生（不完美的）记录 说什么，并应用各种文本分析和提取方法来创建草稿记录 遇到。此外，它将提供一个界面，应允许患者和提供者检查 记录并纠正并完成它们的事实，也将语音作为主要接口。 这些项目的目的是开发和整合实现这一目标所需的组件，以 与儿童HOS的环境卫生诊所的研究人员合作创建一个测试台 实验可以指导系统开发和评估进度，并进行一系列的PITAL 评估一系列目标的评估。首先，研究将表征 语音识别，信息提取和信息组织组件来处理目标 对话。其次，它将评估该系统可以收集更完整的假设 准确的记录比常规收集的记录。随后，它将评估临床医生花费的时间 要使用系统，看到系统的范围破坏了患者提供者的遭遇， 患者使用系统对记录进行补充和校正的能力，主观 患者和提供者对使用该系统的反应。 在这项工作中的成功应该导致更好的临床护理，这是基于更完整和准确的 数据。此外，临床数据也已成为转化进行的重要资源 医学研究，改进的数据显然很有价值。项目叙述 组织良好，完整而准确的临床遭遇记录可以形成有关数据的基础 临床护理以及临床和生物医学研究都可以休息。该项目应用了最新状态 以及新颖的技术来“倾听”和解释患者与医疗保健提供者之间的相遇 创建这样的记录。它的成功应该带来更好的医疗保健和使用的更大可能性 医学研究中的临床数据。