Capturing Patient-Provider Encounter through Text Speech and Dialogue Processing

项目摘要 在医疗保健过程中完整准确地收集临床数据是一个长期的目标 手工记录或电子记录系统都没有做到这一点。这 拟议的项目从临床过程的一开始就解决了这个问题，旨在改善 在患者和提供者之间的面对面互动期间捕获相关的医疗事实。 与其依赖于提供者易出错的记忆来记录访问后的事实， 将“听”的谈话，使用自动语音识别，以产生（不完美的）记录， 并应用各种文本分析和提取方法，创建一个记录草案， 遭遇此外，它将提供一个接口，允许患者和提供者检查 记录的事实，并纠正和完善它们，也使用语音作为主要界面。 该项目的目标是开发和整合实现这一目标所需的组件， 与儿童医院环境健康诊所的研究人员合作建立一个试验台， 一个实验可以指导系统开发和评估进展的平台，并进行一系列 对一系列目标进行评估。首先，研究将描述 语音识别、信息提取和信息组织组件来处理目标 对话。其次，它将评估假设，该系统可以收集更完整， 比常规收集的更准确的记录。随后，它将评估临床医生所花费的时间 使用该系统，该系统被视为破坏患者-提供者接触的程度， 患者使用系统对其记录进行添加和更正的能力，以及主观 患者和供应商对系统使用的反应。 这项工作的成功应该会带来更好的临床护理， 数据此外，临床数据也正在成为进行翻译的重要资源。 在医学研究中，改进的数据显然非常有价值。项目叙述 一个组织良好，完整和准确的临床记录可以形成数据的基石， 临床护理、临床和生物医学研究都可以依靠它。这个项目应用了最先进的技术 以及新技术来“倾听”和解释患者与医疗保健提供者之间的接触 创造这样的记录。它的成功应该会带来更好的医疗保健和更大的可能性， 医学研究中的临床数据。

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.