Department of Medical Informatics and Biomathematics, University of Münster, Münster, Germany.
Clin Trials. 2010 Apr;7(2):183-9. doi: 10.1177/1740774510363013. Epub 2010 Mar 25.
Delayed patient recruitment is a common problem in clinical studies. Hospital information systems (HIS) contain data items relevant for inclusion or exclusion criteria of these studies.
We developed and assessed a system to support patient recruitment using HIS data.
We developed a workflow integrated in our HIS to notify study physicians about potential trial subjects. Automatic HIS database queries based on inclusion and exclusion criteria for each clinical study are performed regularly and generate e-mail notifications via a communication server. Study physicians can verify eligibility with a specific HIS study module. The system performance was assessed with a survey addressing utility, usability, stability, change in recruitment rate, and estimated time savings.
During 10 months of operation, 1328 notifications were generated and 329 enrollments (25%) were documented for seven studies. Precision of alerts depends on availability of appropriate HIS items. Utility and usability were assessed as good, and stability as excellent. Users reported an increased patient recruitment rate for three studies. Three studies reported an estimated time saving of 10 min per recruited patient. The main perceived benefit was systematic identification of potentially eligible patients without time-consuming patient screening procedures in the different parts of the hospital.
Notifications about potentially eligible patients depend on HIS data quality regarding inclusion/exclusion criteria, in particular, completeness, timeliness, and validity.
Routine HIS data can support patient recruitment for clinical studies by means of an automated notification workflow and efficient access to clinical data.
延迟患者招募是临床研究中常见的问题。医院信息系统(HIS)包含与这些研究的纳入/排除标准相关的数据项。
我们开发并评估了一种使用 HIS 数据支持患者招募的系统。
我们开发了一个集成在 HIS 中的工作流程,以便向研究医生通知潜在的试验对象。根据每个临床研究的纳入和排除标准,定期自动执行 HIS 数据库查询,并通过通信服务器生成电子邮件通知。研究医生可以使用特定的 HIS 研究模块来验证资格。通过调查评估了系统的性能,涉及实用性、可用性、稳定性、招募率的变化和估计的节省时间。
在 10 个月的运行期间,为 7 项研究生成了 1328 条通知,并记录了 329 例入组(25%)。警报的准确性取决于 HIS 项目的可用性。实用性和可用性被评估为良好,稳定性为优秀。用户报告有 3 项研究的患者招募率增加。有 3 项研究报告说,每个招募的患者估计节省了 10 分钟的时间。主要的好处是通过系统地识别潜在合格的患者,避免了在医院不同部门进行耗时的患者筛选程序。
潜在合格患者的通知取决于 HIS 数据中关于纳入/排除标准的质量,特别是完整性、及时性和有效性。
通过自动化通知工作流程和高效访问临床数据,常规 HIS 数据可以支持临床研究的患者招募。