Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA.
Regenstrief Institute, Inc., Indianapolis, IN, USA.
AMIA Annu Symp Proc. 2021 Jan 25;2020:1239-1248. eCollection 2020.
Nursing home (NH) patients are extensive users of emergency department (ED) services. Problematically, poor information sharing and incomplete access to information complicates the delivery of care in EDs for NH patients. Paper-based transfer forms can support information sharing, but have significant limitations. Standards-based automated transfer-forms that leverage health information exchange data may address the limitations of paper-based forms and better support care delivery. This study developed a prototype SMART on FHIR automated transfer form for NH patients using priority data elements identified through individual interviews, a review of existing transfer forms, a targeted survey of end users, and a design workshop. Analyses were grounded in the 5 Rights of clinical decision support framework. The most valuable data elements included: emergency contact/healthcare proxy, current medication list, reason for transfer to the ED, baseline neurological state, and relevant diagnoses / medical history. The working prototype was successfully deployed within an Amazon Web Service environment.
养老院(NH)患者是急诊部(ED)服务的广泛使用者。有问题的是,信息共享不佳和信息获取不完整使 ED 为 NH 患者提供护理的工作变得复杂。纸质转诊表可以支持信息共享,但存在重大局限性。基于标准的利用健康信息交换数据的自动化转诊表可能会解决纸质表格的局限性,并更好地支持护理服务的提供。这项研究使用通过个人访谈、现有转诊表的审查、对最终用户的针对性调查以及设计研讨会确定的优先级数据元素,为 NH 患者开发了一个 SMART on FHIR 自动化转诊表原型。分析基于临床决策支持的 5 项权利框架。最有价值的数据元素包括:紧急联系人/医疗保健代理人、当前用药清单、转至 ED 的原因、基础神经状态以及相关诊断/病史。工作原型已成功部署在亚马逊网络服务环境中。