Subramaniam Arvind, Hensley Elizabeth, Parikh Jhana, Gundala Abhinav, Ford Shannon H, Fernandez Olivia, Vuong Caroline, Shah Nirmish
Brody School of Medicine, East Carolina University, Greenville, NC, USA.
Nanbar Health LLC, Durham, NC, USA.
Mhealth. 2025 Jun 17;11:24. doi: 10.21037/mhealth-24-91. eCollection 2025.
Digital health tools have grown in their usage and popularity since the coronavirus disease 2019 (COVID-19) pandemic, when healthcare providers were required to find methods of monitoring and engaging with their patients while also practicing social distancing. The process of building any digital product is arduous and complicated, and successful deployment within a healthcare system involves navigating a complex landscape of regulations, cybersecurity requirements, and the unique considerations of each healthcare institution, in addition to managing general product maintenance and adapting to ongoing technological advancements. The aim of this study was to utilize stakeholder feedback to create an improved, modular, scalable, and disease agnostic digital health solution while also identifying common challenges and considerations for deploying health technology.
Our large interdisciplinary team has been part of several digital health solutions that have been utilized in multiple areas of healthcare. Here, we discuss this journey, lessons learned and describe the recent culmination of this work in the development of Nanbar Health, a digital health solution that integrates patient-reported symptoms via a mobile application, biometrics collected from smartwatches and wearables, and electronic health record (EHR) data to build complex symptom networks and predictive algorithms, all with the goal of better understanding the disease experience of individuals living with various illnesses.
This article provides details about our previously built tools, methodology, challenges, insights, and the findings our team made during the development process, alongside considerations that should be made during the development and integration of any digital health solution.
Nanbar Health is a comprehensive digital health tool developed over multiple years by an interdisciplinary team, utilizing user-centered design, longitudinal data, and predictive algorithms to better understand an individual's illness experiences. The development of such digital health solutions requires extensive planning, efficient multidisciplinary teamwork, and careful consideration of factors needed to build sustainable and modular mobile health (mHealth) apps. Future improvements should focus on developing disease-agnostic solutions, improving data capture strategies, and creating streamlined processes for EHR integration to enhance healthcare technology adoption and patient care.
自2019年冠状病毒病（COVID-19）大流行以来，数字健康工具的使用和普及程度不断提高，当时医疗保健提供者需要找到监测患者并与患者互动的方法，同时还要保持社交距离。构建任何数字产品都是艰巨而复杂的，在医疗保健系统中成功部署不仅要管理一般的产品维护并适应不断发展的技术进步，还涉及应对复杂的法规环境、网络安全要求以及每个医疗机构的独特考量。本研究的目的是利用利益相关者的反馈，创建一个改进的、模块化的、可扩展的且与疾病无关的数字健康解决方案，同时识别部署健康技术的常见挑战和注意事项。
我们的大型跨学科团队参与了多个已在医疗保健多个领域使用的数字健康解决方案。在此，我们讨论这段历程、汲取的经验教训，并描述这项工作最近在Nanbar Health开发中的成果，Nanbar Health是一种数字健康解决方案，它通过移动应用程序整合患者报告的症状、从智能手表和可穿戴设备收集的生物特征数据以及电子健康记录（EHR）数据，以构建复杂的症状网络和预测算法，所有这些都是为了更好地了解患有各种疾病的个体的疾病体验。
本文详细介绍了我们之前构建的工具、方法、挑战、见解以及我们团队在开发过程中取得的发现，同时还介绍了在开发和整合任何数字健康解决方案时应考虑的因素。
Nanbar Health是一个由跨学科团队经过多年开发的综合数字健康工具，利用以用户为中心的设计、纵向数据和预测算法来更好地了解个体的疾病体验。开发此类数字健康解决方案需要进行广泛的规划、高效的多学科团队合作，并仔细考虑构建可持续的模块化移动健康（mHealth）应用所需的因素。未来的改进应侧重于开发与疾病无关的解决方案、改进数据捕获策略以及创建简化的EHR集成流程，以提高医疗技术的采用率和患者护理水平。
