A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research.
A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research.
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DOI：
10.1136/bmjopen-2012-001622
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发表时间：
2012
期刊：
影响因子：
2.9
通讯作者：
Fukushima M
中科院分区：
文献类型：
--
作者：
Yamamoto K;Sumi E;Yamazaki T;Asai K;Yamori M;Teramukai S;Bessho K;Yokode M;Fukushima M
电子病历(EMR)数据的使用是提高临床研究效率的必要条件。然而，确定符合研究资格标准的患者并从急诊医生那里收集必要的信息并不容易，因为数据收集过程必须整合各种技术，包括开发数据仓库和将资格标准转换为可计算的标准。这项研究旨在展示电子病历检索系统(ERS)和一个以医院为基础的队列研究的例子，该研究确定了患者和接触ERS的人。并对该方法的可行性和实用性进行了评价。对该系统进行了开发和评估。总共使用了本院急诊室储存的80万例 临床信息。ERS的可行性和有用性，将文本从符合条件的标准转换为可计算标准的方法，以及提高研究数据准确性的确认方法。为了全面有效地收集参与临床研究的患者的信息，我们开发了ERS。为了创建ERS数据库，我们设计了一个针对患者身份识别进行优化的多维数据模型。我们还设计了实用的方法，将叙述性资格标准转换为可计算的参数。我们将该系统应用于在我们医院进行的实际的基于医院的队列研究，并将测试结果转换为可计算的标准。基于这些信息，我们确定了符合条件的患者，并提取了必要的数据，以供我们的研究人员确认和我们的ERS进行统计分析。我们提出了一种实用的方法来从急诊医生中识别符合临床研究资格标准的患者。我们的急救系统可以有效地收集特定患者的资格信息，减少了调查人员所需的劳动力，并提高了结果的可靠性。
The use of electronic medical record (EMR) data is necessary to improve clinical research efficiency. However, it is not easy to identify patients who meet research eligibility criteria and collect the necessary information from EMRs because the data collection process must integrate various techniques, including the development of a data warehouse and translation of eligibility criteria into computable criteria. This research aimed to demonstrate an electronic medical records retrieval system (ERS) and an example of a hospital-based cohort study that identified both patients and exposure with an ERS. We also evaluated the feasibility and usefulness of the method. The system was developed and evaluated. In total, 800 000 cases of clinical information stored in EMRs at our hospital were used. The feasibility and usefulness of the ERS, the method to convert text from eligible criteria to computable criteria, and a confirmation method to increase research data accuracy. To comprehensively and efficiently collect information from patients participating in clinical research, we developed an ERS. To create the ERS database, we designed a multidimensional data model optimised for patient identification. We also devised practical methods to translate narrative eligibility criteria into computable parameters. We applied the system to an actual hospital-based cohort study performed at our hospital and converted the test results into computable criteria. Based on this information, we identified eligible patients and extracted data necessary for confirmation by our investigators and for statistical analyses with our ERS. We propose a pragmatic methodology to identify patients from EMRs who meet clinical research eligibility criteria. Our ERS allowed for the efficient collection of information on the eligibility of a given patient, reduced the labour required from the investigators and improved the reliability of the results.
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DOI：
10.1016/j.ijmedinf.2005.07.037
发表时间：
2006-03-01
影响因子：
4.9
作者：
Grant, A;Moshyk, A;Desautels, M
通讯作者：
Desautels, M
DOI：
10.1136/jamia.1996.97035024
发表时间：
1996-09-01
影响因子：
6.4
作者：
Johnson, SB
通讯作者：
Johnson, SB
影响因子：
2.7
作者：
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通讯作者：
Prokosch, Hans-Ulrich
影响因子：
7.6
作者：
Fellows, J. L.;Rindal, D. B.;Richman, J.
通讯作者：
Richman, J.
DOI：
10.1136/jamia.2000.0070475
发表时间：
2000-09-01
影响因子：
6.4
作者：
Chen, RS;Nadkarni, P;Miller, PL
通讯作者：
Miller, PL