School of Industrial Engineering, Purdue University , West Lafayette, IN 47907, USA.
Appl Clin Inform. 2010 Dec 29;1(4):466-85. doi: 10.4338/ACI-2010-05-RA-0029. Print 2010.
Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers' prioritization of individual CCRs.
Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey.
We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of each design feature, and semi-structured interview data.
We elicited the prioritization heuristics used by the physicians, and found a CCR system needed to be relevant, easy to resolve, and integrated with workflow. The redesign impacted 80% of physicians and 44% of prioritization decisions. Decisions were no longer correlated to resolution time given the new design. The proposed design features were rated useful or very useful.
This study demonstrated that the redesign of a CCR system using a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter can impact clinicians' decision making. These features are expected to ultimately improve the quality of care and patient safety.
计算机化临床提醒(CCR)系统可以通过在护理点提供针对患者的提醒来改善预防服务的提供。然而,个体 CCR 的依从性存在差异,并且与解决时间等其他因素相关。本研究旨在评估提供解释 CCR 发生原因的信息的拟议 CCR 重新设计如何影响提供者对个体 CCR 的优先级排序。
分别为原型设计了两种 CCR 设计,以分别代表原始设计和新设计。新的 CCR 设计结合了基于知识的风险因素存储库、优先级机制和基于角色的筛选器。16 名医生参与了一项对照实验,以比较原始和新 CCR 系统的使用情况。受试者分别模拟了基于场景的患者就诊情况,然后进行了半结构化访谈和调查。
我们收集并分析了 CCR 被优先排序的顺序、每个设计功能的感知有用性以及半结构化访谈数据。
我们得出了医生使用的优先级启发式方法,并发现 CCR 系统需要具有相关性、易于解决且与工作流程集成。重新设计影响了 80%的医生和 44%的优先级决策。由于新设计,决策不再与解决时间相关。提出的设计功能被评为有用或非常有用。
本研究表明,使用基于知识的风险因素存储库、优先级机制和基于角色的筛选器重新设计 CCR 系统可以影响临床医生的决策。这些功能有望最终提高医疗质量和患者安全。