Impact of Clinical Reminder Redesign on Physicians' Priority Decisions

被引:3
|
作者
Wu, Sze-jung [1 ]
Lehto, Mark R. [1 ]
Yih, Yuehwern [1 ]
Saleem, Jason J. [2 ,3 ,4 ]
Doebbeling, B. N. [2 ,4 ,5 ]
机构
[1] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
[2] Roudebush VAMC, VA HSR & D Ctr Implementing Evidencebased Practic, Indianapolis, IN 46202 USA
[3] IUPUI, Sch Engn & Technol, Indianapolis, IN 46202 USA
[4] IU Ctr Hlth Serv & Outcomes Res, Regenstrief Inst, Indianapolis, IN 46202 USA
[5] IU Sch Med, Dept Med, Indianapolis, IN 46202 USA
来源
APPLIED CLINICAL INFORMATICS | 2010年 / 1卷 / 04期
关键词
Decision support; computerized clinical reminders; HIT; health information technology;
D O I
10.4338/ACI-2010-05-RA-0029
中图分类号
R-058 [];
学科分类号
摘要
Objective: 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. Design: 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. Measurements: We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of each design feature, and semi-structured interview data. Results: 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. Conclusion: 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.
引用
收藏
页码:466 / 485
页数:20
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