PULMONARY ARTERY CATHETER ALARM SYSTEM

我们的长期目标是开发使用 模糊逻辑用于复杂、快速的生理数据分析 重症监护室。我们的近期目标是调整和扩展 我国一期肺动脉导管数据报警系统的护理 工作人员对无效数据进行测试，并进行临床试验 该系统将改善患者护理。现行的单人床制度 将适用于多张床和惠普、Marquette和Space 实验室生理监测器。两家医院ICU的80名患者 将参与最终的系统开发，并另外200 患者将参与系统有效性的临床试验 在减少肺动脉导管的数量和持续时间方面 异常现象。(我们的测试表明，导管的发生率 故障可能被严重低估。)我们亦会研究 扩展专家系统，以纳入更多信息 包括SvO2和心输出量，并提供更多信息 给护士和医生的信息。最后，该系统将被制作成 适用于商业用途。

Our long-term objective is the development of expert systems using fuzzy logic for sophisticated, rapid analysis of physiologic data in intensive care units. Our immediate objectives are to tune and extend our Phase I pulmonary artery catheter data system to alarm nursing staff on invalid data, and to conduct clinical trials to test whether the system will improve patient care. The existing single-bed system will be adapted to multi-bed and Hewlett-Packard, Marquette and Space Labs physiolgoic monitors. Eighty patients at ICUs in two hospitals will participate in final system development, and an additional 200 patients will participate in a clinical trial of system effectiveness in reducing the number and duration of pulmonary artery catheter abnormalities. (Our tests indicate that the incidence of catheter malfunction may be badly underestimated.) We will also study the expansion of the expert system to include additional information including SvO2 and cardiac output, and to deliver more informative messages to nurses and physicians. Finally, the system will be made suitable for commercial use.