AN AUTOMATED DATABASE-EXPERT SYSTEM FOR ACUTE STROKE

急性中风的自动化数据库专家系统

• 批准号: 3477910
• 负责人: STANLEY TUHRIM
• 金额: $ 11.36万
• 依托单位: MOUNT SINAI SCHOOL OF MEDICINE OF CUNY
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-03-01 至 1996-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3477910
• 关键词: acute disease /disorder; artificial intelligence; cerebrovascular disorder diagnosis; computer assisted diagnosis; computer assisted medical decision making; computer assisted patient care; computer program /software; computer system design /evaluation; patient care management; physicians; prognosis; sign /symptom; stroke; transient ischemic attack

The purpose of the work proposed in this application is to demonstrate the feasibility of linking a computerized medical record (CMR) with medical problem-solving systems to provide useful advice to clinicians in an acute care setting. The application describe a five year plan to develop and implement a prototype CMR and a set of decision-support systems that aid physicians in the diagnosis and management of cerebrovascular disease. The decision-support systems to be developed in this study include a system that will localize stroke lesions on the basis of the signs and symptoms present on admission, a program that will determine what kind of stroke a person has had, and several programs that will aid in the management of TIA and stroke patients. The information used to create and test these systems will come from a variety of sources, including the NINCDS Stroke Data Bank and the Mount Sinai Stroke Data Bank. Each system will be evaluated extensively, using actual patient data, before being incorporated into the comprehensive system. The information used by these programs in making their determinations will be garnered by physicians during the initial assessment of patients admitted to an acute stroke unit. A computer interface will be developed which will allow the physicians to input this information by completing a structured neurologic assessment form represented onscreen at a terminal. From this information, the computer system will generate a conventional admitting note as well as represent the information entered by the physician in a manner that can be processed by the computer, thus providing an efficient way for the physician to record data and concomitantly input information needed for problem-solving systems to function automatically. The problem-solving systems will then use this information to render their "opinions" without requiring additional interaction with the physician.

本申请中提出的工作的目的是证明 将计算机病历（CMR）与 医疗问题解决系统，为临床医生提供有用的建议 在急性护理环境中。 该申请描述了一个五年计划 开发和实施原型CMR和一组决策支持 帮助医生诊断和管理的系统 脑血管疾病。 本研究中要开发的决策支持系统包括 将根据标志和 入院时出现的症状，该计划将决定哪种 一个人的中风，以及几个将有助于帮助的计划 TIA和中风患者的管理。用于创建的信息 测试这些系统将来自各种来源，包括 NINCDS中风数据库和西奈山（Mount Sinai Streos）数据库。 每个 在使用实际的患者数据之前，将对系统进行广泛评估 被纳入综合系统。 这些程序用于确定的信息 在对患者的初步评估期间，医生将获得 进入急性中风单位。 计算机接口将是 开发将允许医生通过 完成在屏幕上代表的结构化神经系统评估表 在终端。 从这些信息中，计算机系统将生成 传统的录取注释以及表示信息 由医生输入的方式可以由 计算机，从而为医生提供了一种有效的方式记录 数据和伴随的输入信息解决问题 自动运行的系统。然后，解决问题的系统将 使用此信息来呈现他们的“意见”而无需 与医生的其他相互作用。