Espinoza Juan C, Chin Steven W, Shah Payal, Tut Maurice, Raymond Jennifer K
Division of General Pediatrics, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Translational Informatics, Information Services Department, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Front Clin Diabetes Healthc. 2022 May 11;3:867284. doi: 10.3389/fcdhc.2022.867284. eCollection 2022.
Diabetes is a uniquely quantifiable disease, and as technology and data have proliferated over the past two decades, so have the tools to manage diabetes. Patients and providers have at their disposal devices, applications, and data platforms that generate immense amounts of data, provide critical insights into a patient's disease, and allow for personalization of treatment plans. However, the proliferation of options also comes with new burdens for providers: selecting the right tool, getting buy-in from leadership, defining the business case, implementation, and maintenance of the new technology. The complexity of these steps can be overwhelming and sometimes lead to inaction, depriving providers and patients of the advantages of technology-assisted diabetes care. Conceptually, the adoption of digital health solutions can be thought of as occurring in five interconnected phases: Needs Assessment, Solution Identification, Integration, Implementation, and Evaluation. There are a number of existing frameworks to help guide much of this process, but relatively little attention has been focused on integration. Integration is a critical phase for a number of contractual, compliance, financial, and technical processes. Missing a step or doing them out of order can lead to significant delays and potentially wasted resources. To address this gap, we have developed a practical, simplified framework for integrating diabetes data and technology solutions that can guide clinicians and clinical leaders on the critical steps in adopting and implementing a new technology.
糖尿病是一种具有独特可量化特征的疾病。在过去二十年里，随着技术和数据的激增，糖尿病管理工具也不断增加。患者和医疗服务提供者可以使用各种设备、应用程序和数据平台，这些平台能产生海量数据，提供有关患者疾病的关键见解，并实现治疗方案的个性化。然而，选择的增多也给医疗服务提供者带来了新的负担：选择合适的工具、获得领导层的认可、确定商业案例、新技术的实施和维护。这些步骤的复杂性可能令人应接不暇，有时会导致无所作为，使医疗服务提供者和患者无法享受技术辅助糖尿病护理的优势。从概念上讲，数字健康解决方案的采用可分为五个相互关联的阶段：需求评估、解决方案识别、整合、实施和评估。有许多现有框架可帮助指导这一过程的大部分环节，但相对而言对整合环节的关注较少。整合对于许多合同、合规、财务和技术流程来说都是关键阶段。遗漏一个步骤或顺序不当可能导致严重延误并可能浪费资源。为了弥补这一差距，我们开发了一个实用的、简化的框架，用于整合糖尿病数据和技术解决方案，该框架可以指导临床医生和临床领导者了解采用和实施新技术的关键步骤。
