MONITORING DRUG THERAPY THROUGH SMARTCHART

通过 SMARTCHART 监测药物治疗

基本信息

批准号：
3495871
负责人：
STEPHEN R ASH
金额：
$ 5万
依托单位：
ASH MEDICAL SYSTEMS, INC.
依托单位国家：
美国
项目类别：
财政年份：
1989
资助国家：
美国
起止时间：
1989-05-01 至 1989-10-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/3495871
关键词：
automated medical record system chemical information system computer assisted patient care computer human interaction computer program /software dosage drug adverse effect health care facility information system information display patient monitoring device personal computers

项目摘要

In today's medicine, many elderly patients have diminished kidney or liver function and take numerous medications. Adverse drug interactions and toxicities are common. SmartChart(R) is a program which allows nurses and physicians to efficiently enter real time clinical data into PC's from the bedside. For the first the paper chart is generated through a microcomputer rather than by pen or dictation. During Phase I we will first modify SmartChart so that therapy entries of all patients refer to a central list which will automatically expand as new drugs are used and entered. We will then develop a drug monitoring program (SmartDose) to use the complete, accurate and timely clinical information to estimate proper drug dosages and monitor for potential drug interactions. Each time a therapy is changed or entered, a program will calculate the proper dosage according to a number of formulas, determine whether there are interactions with other drugs, and display messages if the drug prescription could cause clinical problems. The database will be created by simplifying the Stanford drug interaction database and adding generally accepted drug dosing and kinetic formulas for each drug title. Accuracy and utility of messages will be tested using clinical information from a dialysis patient population. In Phase II, we will test neural network simulation programs to see whether physicians and nurses could eventually "train" a computer to monitor drug use in their own specialty units and hospitals. We will also test Bayesian methods of drug dose calculation and prediction.

在当今的药物中，许多老年患者肾脏减少或肝功能并服用多种药物。不良药物相互作用和毒性很常见。 SmartChart（R）是一个允许护士和医生的程序有效地将实时临床数据输入到PC中床头。第一个纸张图是通过微型计算机，而不是钢笔或命令。在第一阶段我们将首先修改SmartChart，以便所有人的治疗条目患者参考将自动扩展的中央列表随着新药的使用并输入。然后我们将开发药物监视程序（SmartDose）使用完整，准确和及时临床信息以估计适当的药物剂量和监测潜在的药物相互作用。每次治疗是更改或输入，程序将计算适当的剂量根据许多公式，确定是否有与其他药物的相互作用，并显示出消息处方可能导致临床问题。数据库将是通过简化斯坦福药物互动数据库而创建为每种添加普遍接受的药物给药和动力学配方毒品名称。消息的准确性和实用性将使用来自透析患者人群的临床信息。在第二阶段，我们将测试神经网络模拟程序以查看医师和护士是否最终可以“训练”计算机监视自己的专业部门和医院中的吸毒。我们还将测试贝叶斯的药物剂量计算方法预言。