An Electronic Health Record–Integrated Application for Standardizing Care and Monitoring Patients With Autosomal Dominant Polycystic Kidney Disease Enrolled in a Tolvaptan Clinic: Design and Implementation Study

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-05-01 DOI:10.2196/50164
Maroun Chedid, Fouad T Chebib, Erin Dahlen, Theodore Mueller, Theresa Schnell, Melissa Gay, Musab Hommos, Sundararaman Swaminathan, Arvind Garg, Michael Mao, Brigid Amberg, Kirk Balderes, Karen F Johnson, Alyssa Bishop, Jackqueline Kay Vaughn, Marie Hogan, Vicente Torres, Rajeev Chaudhry, Ziad Zoghby
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Abstract

Background: Tolvaptan is the only FDA-approved drug to slow the progression of autosomal dominant polycystic kidney disease (ADPKD) but requires strict clinical monitoring due to potential serious adverse events. Objective: We share our experience in developing and implementing an electronic health record (EHR) based application to monitor patients with ADPKD initiated on Tolvaptan. Methods: The application was developed in collaboration with clinical informatics based on our clinical protocol with frequent laboratory test monitoring to detect early drug-related toxicity. The application streamlines clinical workflow and enables our nursing team to take appropriate actions in real-time to prevent drug-related serious adverse events. We retrospectively analyzed the characteristics of enrolled patients. Results: As of September 2022, 214 patients were enrolled in the Tolvaptan program across all Mayo Clinic sites. Of these, 126 were enrolled in the “Tolvaptan monitoring application” and 88 in the “Past Tolvaptan patients’ application”. The mean age at enrollment was 43.1±9.9 years. A total of 20 (9.3%) developed liver toxicity but only 5 (2.3%) had to discontinue the drug. The two EHR-based applications allow consolidation of all necessary patient information and real-time data management at the individual or population level. This approach facilitates efficient staff workflow, monitoring of drug-related adverse events, and timely prescription renewal. Conclusions: Our study highlights the feasibility of integrating digital applications into the EHR workflow, to facilitate efficient and safe care delivery for patients enrolled in a Tolvaptan program. This workflow needs further validation but could be extended to other healthcare systems managing chronic disease requiring drug monitoring.
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电子健康记录集成应用程序,用于规范护理和监测加入托伐普坦诊所的常染色体显性多囊肾患者:设计与实施研究
背景介绍托伐普坦(Tolvaptan)是美国食品及药物管理局(FDA)批准的唯一一种用于延缓常染色体显性多囊肾病(ADPKD)进展的药物,但由于其潜在的严重不良反应,需要严格的临床监测。目标:我们分享了在开发和实施基于电子健康记录(EHR)的应用程序以监测开始服用托伐普坦的 ADPKD 患者方面的经验。方法:该应用是我们与临床信息学合作开发的,以临床方案为基础,通过频繁的实验室检测监测来检测早期药物相关毒性。该应用程序简化了临床工作流程,使我们的护理团队能够实时采取适当措施,预防与药物相关的严重不良事件。我们回顾性分析了入组患者的特征。结果截至 2022 年 9 月,梅奥诊所所有医疗点共有 214 名患者加入了托伐普坦项目。其中,126 人加入了 "托伐普坦监测申请",88 人加入了 "既往托伐普坦患者申请"。注册时的平均年龄为 43.1±9.9 岁。共有 20 人(9.3%)出现肝毒性,但只有 5 人(2.3%)不得不停药。这两款基于电子病历的应用软件可以整合所有必要的患者信息,并在个人或群体层面进行实时数据管理。这种方法有助于提高员工工作流程的效率,监测与药物相关的不良事件,并及时更新处方。结论:我们的研究强调了将数字应用程序整合到电子病历工作流程中的可行性,以促进为加入托伐普坦计划的患者提供高效、安全的护理服务。这一工作流程需要进一步验证,但可以推广到其他需要药物监测的慢性病管理医疗系统。
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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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