E-Breather, Electronic Inhaled Drug Delivery Device

电子呼吸：用于药物输送的电子吸入器，可提高输送的有效性和患者对呼吸系统状况的依从性。吸入器的开发旨在通过以下各项的组合来降低医疗成本和改善患者的预后：1.提高给药的真实有效性：该装置感知气流，只有当吸入参数适合时才将药物释放到气流中，从而在使用过程中最大限度地实际输送药物。该装置在每次使用时向患者提供易于理解的实时反馈，指示给药成功或不成功。从而为正确使用提供持续的培训来源。为医疗保健提供商提供信息和分析工具，以更好地管理个别患者。该设备智能地收集患者数据，了解他们使用设备的效率和一天中的频率。临床医生和护理人员可以使用这一点进行个性化治疗，解决不坚持治疗的问题，并了解个别患者的药物结果。解决质量、依从性和结果可以减少急诊室就诊次数，更好地自我管理，改善患者的健康。此外，它还创建了一个数据集(目前还没有)，可以引入机器学习来适应和个性化患者的护理。最初，这将侧重于特定的病情数据，但可以扩展到患者的共病数据和环境数据(例如，空气污染水平)，这些数据对患者组中病情的恶化有影响。提供大量数据来源，以产生环境因素(例如空气质量数据)与管理慢性呼吸道疾病的最佳预防性药物水平之间的联系。“

"E-breather: Electronic inhalation device for drug delivery that improves effectiveness of delivery and patient compliance for respiratory conditions.The development of an inhalation device aims to reduce healthcare costs and enhance patient outcomes via a combination of:1. Enhancing real-world effectiveness of drug delivery to the patient:The device senses airflow and only releases the drug into the airstream when the inhalation parameters are suitable to optimise drug absorption thereby maximising the actual delivery of the drug during use.The device provides easy-to-understand real-time feedback to the patient on every use, indicating successful or unsuccessful drug administration. Thereby providing a continuous source of training in correct usage.2\. Providing information and analytical tools to the healthcare provider to better manage individual patients.The device intelligently collects patient data on how effectively they used the device and how frequently through the day. This can be used by clinicians and carers in personalising therapy, addressing non-adherence and understanding the outcomes of the medicine with individual patients. Addressing the quality, adherence and outcomes can then lead to reduced A&E attendance, better self-management and improved health for the patient. Furthermore, it creates a data set (which is not available today) which could introduce machine learning to adapt and personalise care for patients. Initially this will focus on the specific condition data but can be extended to the patient's comorbidity data and environmental data (eg air pollution level) which have an impact on exacerbations of the condition across patient groups.3\. Providing a large source of data to generate linkages between environmental factors (e.g. air quality data) and optimal preventative drug levels to manage chronic respiratory diseases."