Issac Aaron Gerard, Du Wendy, Youngblood Alix, Prinssen Wilhelmina, Carroll Kelly, Geller Robert, Patel Palak, Adhyaru Bhavin, Brown Jason
Department of Medicine, Emory University School of Medicine, 2015 Uppergate Dr, Atlanta, GA, 30307, USA.
Grady Health System, Atlanta, GA, USA.
BMC Health Serv Res. 2025 Jul 1;25(1):832. doi: 10.1186/s12913-025-12976-3.
In the United States, more than a third of patients are referred to specialists each year; however, most of these referrals do not lead to completed appointments. At the Grady Health System (GHS), our large safety net hospital system, the initial gastroenterology (GI) referral process suffered from multiple inefficiencies, creating barriers to care. We aimed to improve GI referrals with both a triage and a direct-to-endoscopy program to relieve systemic barriers to GI care at GHS especially around colorectal cancer screening.
Given wait times for GI services and employee dissatisfaction with navigating patients through the referral process, a GI smart order set was built using the Epic electronic medical record. The process took 8 months and included automated anesthesia screening as well as periprocedural guidance on blood thinners. We measured time from placement of referral for screening colonoscopy to scheduling of the screening colonoscopy to assess improvement in wait times for GI services.
In our pre-implementation survey, 60% of providers placed at least one urgent referral a month, and 55% of providers were either somewhat or very dissatisfied with the referral process. This led to the creation of multiple unofficial and only partially successful bypasses to expedite GI care. With the new GI smart order set, there was a 93% reduction over 12 months in the time from providers screening colonoscopy referral request to procedure scheduling from an average of 422 to 28 days. In addition, overall rates of colorectal cancer screening increased approximately 6% from 43.5 to 49% since the order set was implemented.
This novel outpatient GI referral smart order set addressed multiple barriers to care and created a novel triage mechanism as well as a direct-to-endoscopy referral stream. This model can be used to improve triaging and increase access to GI and other specialist services.
The online version contains supplementary material available at 10.1186/s12913-025-12976-3.
在美国,每年超过三分之一的患者会被转诊至专科医生处;然而,这些转诊中的大多数并未促成完整的预约。在格雷迪医疗系统(GHS),我们庞大的安全网医院系统中,最初的胃肠病学(GI)转诊流程存在多种低效问题,形成了医疗障碍。我们旨在通过分诊和直接内镜检查项目来改善GI转诊,以消除GHS中GI医疗的系统性障碍,尤其是在结直肠癌筛查方面。
鉴于GI服务的等待时间以及员工在引导患者完成转诊流程方面的不满,利用Epic电子病历构建了一个GI智能医嘱集。该过程耗时8个月,包括自动麻醉筛查以及关于血液稀释剂的围手术期指导。我们测量了从开具结肠镜筛查转诊单到安排结肠镜筛查的时间,以评估GI服务等待时间的改善情况。
在我们实施前的调查中,60%的医疗服务提供者每月至少开具一次紧急转诊单,55%的医疗服务提供者对转诊流程有些不满或非常不满。这导致创建了多个非官方且仅部分成功的捷径来加快GI医疗。有了新的GI智能医嘱集,在12个月内,从医疗服务提供者筛查结肠镜转诊请求到安排手术的时间从平均422天减少到28天,减少了93%。此外,可以进行结直肠癌筛查的患者总体比例自医嘱集实施以来从43.5%增至49%,增加了约6%。
这种新颖的门诊GI转诊智能医嘱集解决了多个医疗障碍,并创建了一种新颖的分诊机制以及直接内镜检查转诊流程。该模式可用于改善分诊并增加获得GI及其他专科服务的机会。
在线版本包含可在10.1186/s12913 - 025 - 12976 - 3获取的补充材料。