Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review.

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jialing Lin, Shona Marie Bates, Luke N Allen, Michael Wright, Limin Mao, Michael Kidd
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引用次数: 0

Abstract

Background: Mobile health (mHealth) apps are increasingly being used to capture patient health data, provide information, and guide self-management, with reported improvements in health care service delivery and outcomes. However, the impact of integrating mHealth app data into electronic medical record or electronic health record (EMR/EHR) systems remains underexplored.

Objective: This study aims to identify what is known about the impact of integrating mHealth app data into EMR/EHR systems on health care delivery and patient outcomes.

Methods: A scoping review was conducted to identify original studies that investigated the integration of patient-facing mHealth app data into EMR/EHR systems and the impact on health care outcomes. The PubMed, Embase, Web of Science, Cochrane Library, CINAHL, ProQuest, and PsycINFO databases were searched for papers published between January 2014 and July 2024. Two authors independently screened and extracted data on study characteristics, mHealth app features, details of integration with EMR/EHR systems, and effects on health care delivery and patient outcomes.

Results: Nineteen studies with 113,135 participants were included. Among these, 6 were randomized clinical trial studies, 8 were conducted in the United States, 12 occurred in hospital settings, 15 involved adult participants, and 6 targeted diabetes management. Main features of the apps and EMR/EHR systems can be categorized into tracking or recording health data (n=19), app data integrated into EMR/EHR systems (n=19), app data summarized or presented on EMR/EHR interface (n=19), communication with the health care team (n=12), reminders or alerts (n=10), synchronization with other apps or devices (n=8), educational information (n=4), and using existing portal credentials to app access (n=2). Most studies reported benefits of integrating the app and EMR/EHR, such as enhanced patient education and self-management (n=5), real-time data recorded and shared with clinicians (n=4), support for clinical decision-making (n=3), improved communication between patients and clinicians (n=7), and improved patient outcomes (n=13). Challenges identified included high drop-off rates in app usage (n=3), limited accessibility due to device restrictions (n=3), incompatibility between mHealth apps and EMR/EHR systems (n=3), increased clinical workload in response to additional information (n=3), data accuracy issues due to network connectivity (n=1), and data security concerns (n=1).

Conclusions: Evidence suggests that the effective integration of mHealth app data into EMR/EHR systems can enhance both clinicians' health care delivery and patients' health outcomes. However, current literature is limited, and future opportunities remain to examine the impact on long-term outcomes, such as mortality, readmissions, and costs, and assess the scalability and sustainability of integration among more broader health conditions and disabilities across diverse health care settings.

Abstract Image

将移动健康应用程序数据集成到电子医疗或健康记录系统及其对医疗保健交付和患者健康结果的影响:范围审查。
背景:移动医疗(mHealth)应用程序越来越多地被用于获取患者健康数据、提供信息和指导自我管理,据报道,卫生保健服务的提供和结果得到了改善。然而,将移动健康应用程序数据集成到电子病历或电子健康记录(EMR/EHR)系统中的影响仍未得到充分探索。目的:本研究旨在确定将移动健康应用程序数据集成到电子病历/电子健康档案系统中对医疗保健服务和患者预后的影响。方法:进行范围综述,以确定调查将面向患者的移动健康应用程序数据整合到EMR/EHR系统及其对医疗保健结果影响的原始研究。检索了PubMed、Embase、Web of Science、Cochrane Library、CINAHL、ProQuest和PsycINFO数据库,检索了2014年1月至2024年7月间发表的论文。两位作者独立筛选和提取了研究特征、移动健康应用程序功能、与EMR/EHR系统集成的细节以及对医疗保健提供和患者结果的影响方面的数据。结果:纳入19项研究,113,135名受试者。其中6项是随机临床试验研究,8项在美国进行,12项在医院进行,15项涉及成人参与者,6项针对糖尿病管理。应用程序和EMR/EHR系统的主要功能可分为跟踪或记录健康数据(n=19)、集成到EMR/EHR系统中的应用程序数据(n=19)、在EMR/EHR界面上汇总或呈现的应用程序数据(n=19)、与医疗团队的通信(n=12)、提醒或警报(n=10)、与其他应用程序或设备的同步(n=8)、教育信息(n=4)以及使用现有门户证书访问应用程序(n=2)。大多数研究报告了整合应用程序和EMR/EHR的好处,如加强患者教育和自我管理(n=5),实时记录数据并与临床医生共享(n=4),支持临床决策(n=3),改善患者与临床医生之间的沟通(n=7),改善患者预后(n=13)。确定的挑战包括应用程序使用率高(n=3)、设备限制导致的可访问性有限(n=3)、移动健康应用程序与EMR/EHR系统之间的不兼容性(n=3)、响应额外信息而增加的临床工作量(n=3)、网络连接导致的数据准确性问题(n=1)和数据安全问题(n=1)。结论:有证据表明,将移动医疗应用数据有效地整合到电子病历/电子健康档案系统中,可以提高临床医生的医疗服务质量和患者的健康结果。然而,目前的文献是有限的,未来仍有机会研究对长期结果的影响,如死亡率、再入院率和成本,并评估在不同医疗保健环境中更广泛的健康状况和残疾中整合的可扩展性和可持续性。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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