Using Narrative Data to Enrich the Online Medical Record

使用叙述数据丰富在线医疗记录

• 批准号: 6535939
• 负责人: STEPHEN B. JOHNSON
• 金额: $ 39.54万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-30 至 2005-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6535939
• 关键词: automated medical record system; clinical research; computer data analysis; data collection methodology /evaluation; human data; information systems; medical records; online computer; primary care physician; vocabulary

DESCRIPTION (provided by applicant): Narrative information is vital to health care, because it enables physicians to synthesize the raw facts and provide a context and interpretation for them. Electronic medical record systems contain a wealth of clinical data, but typically lack the clinical narrative found in paper records, e.g., the patient history and progress notes. Numerous barriers prevent the timely acquisition of narrative data, and most computer systems are unable to use such information productively. Current approaches offer a tradeoff, capture of rich clinical data that lacks structure (using transcription services or speech technology), versus entry of structured data that lacks flexibility and expressiveness (using template systems). Natural language processing can integrate these approaches by allowing physicians full freedom of expression while producing structured documents that preserve the richness and enable further computer processing. This proposal seeks to capture and structure narrative in the online medical record in order to improve entry time, completeness, information content and consistency of clinical documentation. The specific aims of this proposal are: 1) Maintain the continuity of the medical record; a lengthy medical record requires significant time to review and digest. Many facts from past narratives remain true in the present or persist with minor changes. By automatically bringing these facts forward into the current narrative, the system can reduce the time to enter the document, and improve the completeness of documentation by maintaining continuity of what is known about a patient; 2) Integrate the medical record: Electronic medical records contain a vast amount of data. However, most of these data are raw facts. By helping the physician to connect, interpret and summarize these facts, the system can improve the usefulness of the information in the record, and reduce the time to enter documents by performing some syntheses automatically; and 3) Harmonize the medical record; the multidisciplinary nature of health care creates the potential for the differing perspectives and interpretations in the medical record, and even contradictions. By bringing possible discrepancies to the attention of the physician, the system can help resolve the inconsistencies.

描述（由申请人提供）： 叙述性信息对医疗保健至关重要，因为它使医生能够综合原始事实，并为它们提供背景和解释。 电子医疗记录系统包含丰富的临床数据，但通常缺乏纸质记录中的临床叙述，例如，病人的病史和病情记录 许多障碍阻止了叙事数据的及时获取，大多数计算机系统无法有效地使用这些信息。 当前的方法提供了一种折衷，捕获缺乏结构的丰富临床数据（使用转录服务或语音技术），而输入缺乏灵活性和表现力的结构化数据（使用模板系统）。 自然语言处理可以通过允许医生充分的表达自由来整合这些方法，同时生成保留丰富性并允许进一步计算机处理的结构化文档。 该提案旨在收集和组织在线医疗记录中的叙述，以改善临床文件的录入时间、完整性、信息内容和一致性。 这项建议的具体目的是：1）保持病历的连续性;冗长的病历需要大量时间进行审查和消化。 过去叙述中的许多事实在现在仍然是真实的，或者只有微小的变化。 通过自动将这些事实带入当前叙述中，系统可以减少输入文档的时间，并通过保持关于患者的已知信息的连续性来提高文档的完整性; 2）整合医疗记录：电子医疗记录包含大量数据。 然而，这些数据大多是原始事实。 通过帮助医生连接，解释和总结这些事实，系统可以提高记录中信息的有用性，并通过自动执行一些综合来减少输入文档的时间;以及3）协调医疗记录;医疗保健的多学科性质为医疗记录中的不同观点和解释创造了可能性，甚至是矛盾。 通过将可能的差异引起医生的注意，系统可以帮助解决不一致。