Huang Hsiu-Ying, Wilkie Diana J, Zong Shi-Ping Sam, Berry Donna, Hairabedian Daniela, Judge M Kay, Farber Stuart, Chabal Charles
Cancer Pain and Symptom Management Research Group, Department of Biobehavioral Nursing and Health Systems, School of Medicine, Box 357266, University of Washington, Seattle, WA 98195-7266, USA.
Comput Inform Nurs. 2003 Jul-Aug;21(4):206-17. doi: 10.1097/00024665-200307000-00011.
Contemporary nursing practice needs reengineering to deliver its service effectively and efficiently. Using computer technology to support clinicians' decision making may be a parsimonious way to provide high-quality, patient-centered, efficient care. The process of developing the PAINReportIt and PAINConsultN system is described, and the results of two pilot studies in which the system was tested are summarized. The feasibility of using the system to assess pain and provide decision support for clinicians is demonstrated. The findings show PAINReportIt to be promising as an effective, efficient way for patients to report their pain. Whether PAINConsultN is an effective answer to cancer pain management barriers warrants further evaluation with larger samples. The advantages of using the system, as compared with use of the traditional pain management process, are discussed.
当代护理实践需要重新设计,以有效且高效地提供服务。利用计算机技术支持临床医生的决策制定可能是提供高质量、以患者为中心的高效护理的一种简洁方式。本文描述了PAINReportIt和PAINConsultN系统的开发过程,并总结了对该系统进行测试的两项试点研究的结果。证明了使用该系统评估疼痛并为临床医生提供决策支持的可行性。研究结果表明,PAINReportIt有望成为患者报告疼痛的一种有效且高效的方式。PAINConsultN是否能有效解决癌症疼痛管理障碍,有待通过更大规模的样本进行进一步评估。文中还讨论了与使用传统疼痛管理流程相比,使用该系统的优势。