SBIR PHASE I TOPIC 406 - A PROTOTYPE SOLUTION TO FACILITATE PATIENT NAVIGATIONIN SUPPORT OF PANCREATIC CANCER CARE.

GMG ArcData将创建一个基于移动的应用程序，以改善参与新胰腺手术肿瘤学护理事件的患者和导航员之间的通信和数据交换。功能将与使用智能手机和EHR患者门户的护理流程保持一致。我们将应用以用户为中心的设计理论和行为心理学方法来共同设计，开发和测试功能的可用性，优化患者导航-患者遇到的调度问题，营养指导，疼痛管理，健康评估和活动跟踪。评估终点将反映应用程序如何提高工作流程的效率并减轻认知负担。我们将评估患者和导航员如何感知该工具提供更多控制和更容易获得有关手术护理信息的能力。关键的项目创新基于快速医疗互操作性资源（FHIR）的工程标准，这些标准实现了数字健康平台之间的互操作性，基于类似患者的经验应用“推荐”功能，并利用微教育工具来增强患者对其手术护理的理解。我们与MedStar Health和乔治敦大学隆巴迪综合癌症中心合作，共同设计软件并访问患者进行可用性测试。成功的实施将导致探索一个合资企业，以扩展到其他护理事件，扩展功能，并共同创建商业化的商业模式。

GMG ArcData will create a mobile-based application to improve communications and data exchange among patients and navigators involved in new pancreas surgery oncology episodes of care. Functionality will align with care processes using smartphone and the EHR patient portal. We will apply user-centered design theory and behavioral psychology approaches to co-design, develop, and test usability of features that optimize patient navigators-patient encounters on scheduling issues, nutrition guidance, pain management, wellbeing assessments, and activity tracking. Evaluation endpoints will reflect how the application improves the efficiency of workflows and lessens cognitive burden. We will assess how patients and navigators perceive the tool’s ability to provide more control and easier access to information about surgical care. The key project innovations are based on Fast Healthcare Interoperability Resources (FHIR)-based engineering standards that enable interoperability among digital health platforms, apply ‘recommender’ functions based on similar patients’ experiences, and exploit microeducation tools to enhance patient understanding about their surgical care. We have partnered with MedStar Health and Georgetown University Lombardi Comprehensive Cancer Center to co-design the software and access patients for usability testing. Successful implementation will lead to exploring a joint venture for scaling to other care episodes, expanded functionality, and co-creating business models for commercialization.