SBIR Phase I: Development of a smart container for mobile blood banking system used in cold blood storage and transport in extreme environments

小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力是增加院前环境中损伤点护理的冷藏医疗疗法的可用性，并通过对各种生物材料的实时数据跟踪来提高冷链有效载荷的透明度。通过物联网(IoT)连接设备提高冷链透明度，将使临床医生和库存经理能够自信地将疗法推向医院以外的地方，并对其疗效充满信心，因为在将其送往医疗机构之前或期间需要护理的重伤患者服用后即可获得治疗。关于有效载荷条件的实时数据可以使临床医生准确地知道有效载荷温度是多少，而不必手动打开容器，将有效载荷暴露在高温、灰尘、太阳和其他不希望看到的条件下，以确定其冷藏生物材料的状态。这一小型企业创新研究(SBIR)第一阶段项目专门针对与现场或事故现场创伤有关的高死亡率。通过提供模块化的冷却、储存和运输系统，首选的全血和血液成分疗法的使用将更容易用于挽救生命的干预。该项目的目标是确定轻型、移动式和模块化的冷却器和存储设备，以验证小型、可互换的血库解决方案，以支持院前环境中的临床医生。其他研究目标集中在设备内部和外部的传感器集成，以使用数据驱动的学习，并在未来的状态下，从库存管理的角度最大限度地使用温度敏感疗法。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to increase the availability of cold stored medical therapies for point of injury care in a prehospital setting, as well as to increase cold chain payload transparency with real time data tracking for a wide variety of biological materials. Increased cold chain transparency via internet of things (IoT) connected devices will allow clinicians and inventory managers to confidently push therapies outside of a hospital with full confidence in their efficacy upon administration to severely wounded patients where care is needed prior to or during transport to a medical facility. Real time data on payload conditions may enable clinicians know exactly what the payload temperatures are without having to manually open a container, exposing payloads to heat, dust, sun and other undesirable conditions to determine the status of their cold-stored biomaterials. This Small Business Innovation Research (SBIR) Phase I project specifically targets the high mortality rates associated with trauma wounds in the field or at the accident site. By providing a modular cooling, storage, and transportation system, the use of preferred whole blood and blood component therapies will be more readily available for life saving interventions. The goal of this project is to identify lightweight, mobile, and modular cooler and storage devices to validate small unit, interchangeable blood banking solutions to support clinicians in a prehospital setting. Additional research goals focus on sensor integration both inside and outside of device to use data driven learning and in a future state artificial intelligence to maximize use of temperature sensitive therapies from an inventory management perspective.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.