通过使用业务自动化工作流来加快推荐采用、桥接推荐和传真的独特方式:概念验证研究。

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS
Zhigang Tian, Kayla Wierts, Lirije Hyseni, Beth Gerritsen, Kim Lynch, Russell Buchanan, Mohamed Alarakhia
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引用次数: 0

摘要

背景:据估计,88%的安大略省医生仍然使用传真技术来共享患者信息。向电子转诊(eReferral)的过渡已被证明有许多好处,但采用eReferral的主要障碍是需要在同一平台上发送和接收临床医生以实现信息共享。传统的入职流程需要时间和精力。需要一种创新的方法,通过弥合转诊发送人和传真转诊接收人之间的差距来改善转诊的采用。目的:本研究旨在探讨利用业务自动化工作流(BAW)平台连接数字(ereeferral)和非数字转诊平台(fax)的技术可行性,使转诊发送者能够将转诊信息发送给传真接收者,从而改善临床医生的体验。方法:开发eFax转诊方案,在BAW平台上进行评估,实现转诊平台与使用传真的临床医生之间的连接。选定数量的传真接收器已被识别并在eReferral平台上启用为eFax接收器。发送临床医生通过熟悉的转诊工作流程启动efax,将efax传输到BAW,并通过传真发送给目标接收者。构建重试和提醒逻辑是为了改善用户体验。如果在所有重试后eFax都失败,则通过转诊平台向发送eFax的临床医生发送消息,说明失败原因。发送临床医生将预约信息输入到转诊平台,以触发患者电子邮件通知。通过调查和重点访谈收集临床医生的反馈。结果:2022年5月至2023年12月,平台共启用eFax接收设备224台,全省4132位独特患者和843位独特发送者共处理了4504份eFax。近70%(3137/4504)的患者同意并收到了电子邮件通知;19%(875/4504)的患者在人工输入转诊平台后收到了预约详情。平均而言,eFax推荐包含5.6页,至少有0.7%超过30页。最初,为了观察传递错误率,禁用了传真服务重试。这导致37.7%(1023/2712)的传真失败。然而,在2023年3月实现新的重试逻辑后,失败率明显下降到9.9%(304/3082),98.7%(2770/2806)的efax在自动重试后成功交付。临床医生的反馈显示,这对派遣临床医生的体验产生了积极的影响,既保持了他们熟悉的工作流程,又适应了依赖传真的接收者,他们可以按照自己的节奏逐渐过渡到转诊。结论:该项目展示了BAW平台在弥合传真和转诊系统之间的差距方面的潜力。它最大限度地减少了对发送临床医生的干扰,同时允许传真接收者逐步采用新平台。这项技术可以大大加快转诊的采用,减少对接收诊所采用转诊的依赖,最终提高临床医生和患者的体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Unique Way to Axe the Fax Through Using Business Automation Workflow to Expedite eReferral Adoption, Bridging eReferral, and Fax: Proof-of-Concept Study.

Background: It is estimated that 88% of Ontario physicians still use fax technology to share patient information. Transitioning to electronic referral (eReferral) has been shown to have numerous benefits, but the major barrier to adoption of eReferral is the need for both sending and receiving clinicians on the same platform to enable information sharing. The traditional onboarding process takes time and effort. An innovative method is required to improve eReferral adoption by bridging the gap between eReferral senders and fax referral receivers.

Objective: This study aimed to explore the technological feasibility of leveraging a business automation workflow (BAW) platform to connect the digital (eReferral) and nondigital referral platform (fax), enabling eReferral senders to send referrals to fax receivers, thereby improving the clinician experience.

Methods: An eReferral via eFax solution was developed and evaluated on the BAW platform to connect the eReferral platform and the clinicians using fax. A selected number of fax receivers were identified and enabled on the eReferral platform as eFax receivers. Sending clinicians initiated eFaxes through the familiar eReferral workflow, with eFaxes transmitted to BAW and delivered to the target receiver via fax. Retry and reminder logic were built to improve the user experience. If the eFax failed after all retries, a message was sent to the sending clinician through the eReferral platform explaining the failure reason. The appointment information was entered into the eReferral platform by the sending clinicians to trigger patient email notifications. Surveys and focused interviews were conducted to collect clinicians' feedback.

Results: From May 2022 to December 2023, 224 eFax receivers were enabled on the platform, processing 4504 eFaxes for 4132 unique patients and 843 unique senders across the province. Nearly 70% (3137/4504) of patients consented and received email notifications; 19% (875/4504) received appointment details after manual entry in the eReferral platform. On average, eFax referrals contained 5.6 pages, with a minimal 0.7% exceeding 30 pages. Initially, fax service retries were disabled to observe delivery error rates. This resulted in a 37.7% (1023/2712) fax failure. However, after implementing new retry logic in March 2023, the failure rate dropped significantly to 9.9% (304/3082), and 98.7% (2770/2806) of eFaxes were successfully delivered after automatic retries. Clinician feedback revealed a positive impact on sending clinicians' experience, maintaining their familiar workflow while accommodating fax-reliant receivers who can gradually transition to eReferral at their own pace.

Conclusions: This project demonstrates the potential of the BAW platform to bridge the gap between fax and eReferral systems. It minimizes disruption for sending clinicians while allowing fax receivers to incrementally adopt the new platform. This technology can significantly expedite eReferral adoption by reducing the reliance on receiving clinics to adopt eReferral, ultimately enhancing the experience for both clinicians and patients.

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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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