Suppr超能文献

摒弃传真:用户对电子转诊的看法。

Axe the Fax: What Users Think of Electronic Referral.

作者信息

Alarakhia Mohamed, Costa Andrew, Roudsari Abdul

机构信息

School of Health Information Science, University of Victoria.

Department of Clinical Epidemiology & Biostatistics, McMaster University.

出版信息

Stud Health Technol Inform. 2019;257:9-16.

Abstract

Long wait times for elective services are seen as one of the major challenges for Canadian healthcare. Canadians report that they wait longer for specialists than citizens in other countries. The main reason for this is that the referral process is poorly coordinated and leads to delays in care. Electronic referral (eReferral) is seen as a potential means of improving the referral process and enabling faster access to care. There is the potential for national implementation of eReferral in Canada to help achieve this aim. However, existing initiatives have encountered challenges with user adoption and users have continued to use fax. A validated tool was used to survey both users of fax as well as users of eReferral. These two groups of users were then compared. Most family physicians using fax were satisfied overall with the process. This highlighted how challenging any change of this engrained technology will be. There were, however, some significant areas were eReferral was superior to fax. This included response time, the overall quality of referral information, completeness of the information, the timeliness of the information, and the format and layout. There is an opportunity to leverage these findings to support the adoption of eReferral and help reduce wait times.

摘要

择期医疗服务的长时间等待被视为加拿大医疗保健面临的主要挑战之一。加拿大人表示,他们等待专科医生的时间比其他国家的公民更长。主要原因是转诊流程协调不善,导致护理延误。电子转诊被视为改善转诊流程并实现更快获得护理的一种潜在手段。在加拿大全国实施电子转诊有潜力帮助实现这一目标。然而,现有举措在用户采用方面遇到了挑战,用户仍继续使用传真。使用了一个经过验证的工具对传真用户和电子转诊用户进行调查。然后对这两组用户进行了比较。大多数使用传真的家庭医生总体上对该流程感到满意。这凸显了改变这种根深蒂固的技术将面临多大的挑战。然而,在一些重要方面,电子转诊优于传真。这包括响应时间、转诊信息的总体质量、信息的完整性、信息的及时性以及格式和布局。有机会利用这些发现来支持电子转诊的采用并帮助减少等待时间。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验