Designing a Programming Language for Patient-Oriented Prescriptions (POP-PL)
2019年2月8日 更新者:Steven M Belknap、Northwestern University
The purpose of this study is to create a human-readable and executable computer language to implement medical prescriptions and to evaluate and refine this language, with the goal of improving safety and efficacy of patient care.
研究概览
详细说明
Preventable errors in healthcare are a leading cause of patient injury and death.
Despite extensive effort and the expenditure of billions of dollars, computerization has failed to solve this problem.
Research has shown that software design and debugging of a paper prescription markedly decreases the rate of injury and death associated with use of opioids in hospitalized patients.
To further the application of insights from software engineering to the practice of medicine, the PIs will design and build a Patient-Oriented Prescription Programming Language (POP-PL) and evaluate if this new platform can be used to improve medical management of patients.
The design of POP-PL will be based on building an understanding of the process of medical treatment of patients.
This project is a collaboration between computer scientists and clinicians at Northwestern Medicine.
The collaborating clinicians are co-investigators on this research project and also are providing healthcare to the patients that are being observed.
The computer scientists and other research staff have undergone human subjects research training and are co-investigators on this research project as well.
The clinician-investigators will oversee research project staff during all observations of patients, clinical encounters between healthcare providers and patients, and interactions between healthcare providers and healthcare information systems.
Researchers involved in this study will observe interactions between health care providers and patients and will collate these observations with data from electronic data sources.
Since this research is based mainly upon observation and chart review and will not involve any interventions or changes to patient care, the risk to study participants is minimal, involving inadvertent disclosure of healthcare information.
This risk will be mitigated by anonymizing collected data.
研究类型
观察性的
注册 (实际的)
56
联系人和位置
本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。
学习地点
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Illinois
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Chicago、Illinois、美国、60611
- Northwestern Memorial Hospital
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Chicago、Illinois、美国、60611
- Northwestern Medicine Clinics
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参与标准
研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。
资格标准
适合学习的年龄
18年 至 50年 (成人)
接受健康志愿者
是的
有资格学习的性别
全部
取样方法
非概率样本
研究人群
Patients seen at Northwestern Memorial Hospital and Northwestern Medicine Clinics
描述
Inclusion Criteria:
- Patients between the ages of 18 and 50 years old who receive care at the Northwestern Maternal Fetal Medicine Clinic (MFM)
- Patients between the ages of 18 and 50 years old who visit Northwestern Medicine outpatient facilities and are patients of a clinician who is a coinvestigator on this project.
- Patients who are between the ages of 18 and 50 years old, are hospitalized at Northwestern Medicine inpatient facilities, and are patients of a clinician who is a coinvestigator on this project.
Exclusion Criteria:
学习计划
本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。
研究是如何设计的?
设计细节
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
通过事件序列之间的偏差数量评估处方的理想和实际性能之间的差异
大体时间:2年
|
调查人员将用处方编程语言表达处方的意图。
然后,研究人员将根据与真实临床环境中发生的相同输入,将临床环境中处方的实际性能与模拟环境中处方的性能进行比较。
|
2年
|
合作者和调查者
在这里您可以找到参与这项研究的人员和组织。
调查人员
- 首席研究员:Steven M Belknap, MD、Northwestern University
研究记录日期
这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。
研究主要日期
学习开始 (实际的)
2016年2月1日
初级完成 (实际的)
2019年1月17日
研究完成 (实际的)
2019年1月17日
研究注册日期
首次提交
2016年5月16日
首先提交符合 QC 标准的
2016年6月28日
首次发布 (估计)
2016年6月30日
研究记录更新
最后更新发布 (实际的)
2019年2月12日
上次提交的符合 QC 标准的更新
2019年2月8日
最后验证
2019年2月1日
更多信息
此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.