Jenders R A, Hripcsak G, Sideli R V, DuMouchel W, Zhang H, Cimino J J, Johnson S B, Sherman E H, Clayton P D
Department of Medical Informatics, Columbia University, New York, New York, USA.
Proc Annu Symp Comput Appl Med Care. 1995:169-73.
We began implementation of a medical decision support system (MDSS) at the Columbia-Presbyterian Medical Center (CPMC) using the Arden Syntax in 1992. The Clinical Event Monitor which executes the Medical Logic Modules (MLMs) runs on a mainframe computer. Data are stored in a relational database and accessed via PL/I programs known as Data Access Modules (DAMs). Currently we have 18 clinical, 12 research and 10 administrative MLMs. On average, the clinical MLMs generate 50357 simple interpretations of laboratory data and 1080 alerts each month. The number of alerts actually read varies by subject of the MLM from 32.4% to 73.5%. Most simple interpretations are not read at all. A significant problem of MLMs is maintenance, and changes in laboratory testing and message output can impair MLM execution significantly. We are now using relational database technology and coded MLM output to study the process outcome of our MDSS.
1992年,我们开始在哥伦比亚长老会医学中心(CPMC)使用阿登语法实施医疗决策支持系统(MDSS)。执行医学逻辑模块(MLM)的临床事件监测器运行在一台大型计算机上。数据存储在关系数据库中,并通过称为数据访问模块(DAM)的PL/I程序进行访问。目前,我们有18个临床、12个研究和10个管理MLM。平均而言,临床MLM每月生成50357条实验室数据的简单解读和1080条警报。实际读取的警报数量因MLM的主题而异,从32.4%到73.5%不等。大多数简单解读根本没有被读取。MLM的一个重大问题是维护,实验室检测和消息输出的变化会严重损害MLM的执行。我们现在正在使用关系数据库技术和编码的MLM输出来研究我们MDSS的过程结果。