Breaking the barriers: Methodology of implementation of a non-mydriatic ocular fundus camera in an emergency department

被引:0
|
作者
Berman, Gabriele [1 ]
Pendley, Andrew M. [2 ]
Wright, David W. [2 ]
Silverman, Rachel [3 ]
Kelley, Chris [1 ,3 ]
Duran, Mariana Rodriguez [1 ]
Soto, Mariam Torres [1 ]
Shanmugam, Nithya [1 ]
Keadey, Matthew [2 ]
Newman, Nancy J. [1 ,4 ,5 ]
Biousse, Valerie [1 ,4 ]
机构
[1] Emory Univ, Emory Eye Ctr, Dept Ophthalmol, Sch Med, Atlanta, GA USA
[2] Emory Univ, Sch Med, Dept Emergency Med, Atlanta, GA USA
[3] Emory Healthcare, Dept Ophthalmol, Informat Technol, Atlanta, GA USA
[4] Emory Univ, Sch Med, Dept Neurol, Atlanta, GA USA
[5] Emory Univ, Sch Med, Dept Neurol Surg, Atlanta, GA USA
关键词
Central retinal artery occlusion; Fundus camera; Fundus photography; Kotter's Change Model; Implementation; Optical coherence tomography; Papilledema; RETINAL ARTERY-OCCLUSION; PHOTOGRAPHY; OPHTHALMOSCOPY; TIME; CARE;
D O I
10.1016/j.survophthal.2024.09.012
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Despite evidence that non-mydriatic fundus cameras are beneficial in non-ophthalmic settings, they are only available in a minority of hospitals in the US. The lag from research-based evidence to change in clinical practice highlights the complexities of implementation of new technology and practice. We describe the steps used to implement successfully a non-mydriatic ocular fundus camera combined with optical coherence tomography (OCT) in a general emergency department (ED) using Kotter's 8-Step Change Model. We prospectively collected the number of trained personnel in the ED, the number of imaging studies obtained each week during the first year following implementation, and we documented major achievements each month, as well as outcome measures, barriers to implementation and possible solutions. Between 12 and 42 patients were imaged per week, resulting in a total of 1274 patients imaged demonstrating sustained usage of non-mydriatic fundus camera/OCT in the ED one year after implementation. The implementation process was contingent upon multidisciplinary collaboration, extensive communication, coordinated training of staff, and continuous motivation. The future will likely include the use of artificial intelligence deep learning systems for automated interpretation of ocular imaging as an immediate diagnostic aid for ED or other non-eye care providers.
引用
收藏
页码:153 / 161
页数:9
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