Development of an automated healthcare system for effective management of patients with chronic diseases.

开发自动化医疗保健系统，以有效管理慢性病患者。

• 批准号: 10348181
• 负责人: Margot Yann
• 金额: $ 72.38万
• 依托单位: ADVINOW, INC.
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-13 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10348181
• 关键词: Abdomen; Algorithms; Artificial Intelligence; Augmented Reality; Auscultation; Automation; Biometry; Blood; Blood Pressure; Caring; Chest; Chronic; Chronic Disease; Client satisfaction; Clinic; Clinical; Clinical Decision Support Systems; Clinical effectiveness; Computer Vision Systems; Computer software; Data; Decentralization; Dependence; Development; Devices; Diagnosis; Diagnostic; Diffusion; Drops; Ear; Electronic Health Record; Environment; Family member; Future; Health Expenditures; Health Personnel; Health Professional; Health Services Accessibility; Health Status; Healthcare; Healthcare Systems; Heart; Hypersensitivity; Image; Infrastructure; Injectable; Location; Lung; Measurement; Measures; Medical; Medical Assistance; Medical Device; Medical Records; Medicine; Mission; Modeling; Monitor; Nose; Oral cavity; Otoscopes; Outcome; Oxygen; Patient-Focused Outcomes; Patients; Performance; Persons; Pharmaceutical Preparations; Pharyngeal structure; Phase; Positioning Attribute; Primary Health Care; Protocols documentation; Provider; Recording of previous events; Reporting; Research Personnel; Respiratory Sounds; Self Assessment; Self-Examination; Site; Site Visit; Small Business Innovation Research Grant; Stethoscopes; Structure; Symptoms; System; Telemedicine; Temperature; Testing; Therapeutic; Thermometers; Time; Validation; Visit; Weight; Work; accurate diagnosis; aging population; base; care delivery; clinical decision support; commercialization; cost; design; diagnostic tool; digital; health care delivery; health care quality; improved; innovation; interest; invention; novel; novel strategies; pressure; prevent; product development; research and development; respiratory; sound; support tools; unhealthy lifestyle; urgent care; usability; volunteer

PROJECT SUMMARY Care delivery at primary and urgent clinics is critically hindered by doctor shortage, time constraints and the inappropriate use of infrastructures. The rising aging population and unhealthy lifestyle are expected to drive the increase of chronic disease and the national health expenditures associated (20% of the U.S. gross domestic product by 2025). Telemedicine has been proposed as a possible solution to reduce the cost of access to care minimizing the dependence of patients on health professionals. However, current solutions that connect patients with doctors don’t allow accurate diagnosis due to the lack or inappropriate use of medical devices. AdviNOW proposes to implement computer vision to offer a clinically reliable approach to perform self- evaluation of vital parameters. AdviNOW is developing the first Augmented Reality (AR) algorithms to guide any non-trained people to correct usage of Class 2 medical devices at the point of need. The new approach will represent the core component of a novel clinical decision support system (CDSS) which will be integrated into telemedicine platforms, kiosks or any medical office to automate medical visits, improving the management of chronic diseases. In Phase I, we validated the feasibility of our product by developing a module for heart stethoscope exams. Users were able to autonomously take a phonocardiogram measurement in <8 seconds, while the system verified the correct use of the device. In this Phase II project, the additional modules required for a minimum viable product (MVP) with significant clinical and commercial impact will be developed. This will include modules for Respiratory Auscultation, Otoscopic Ear Examination, Mouth Examination, and temperature control. The developed modules will be then integrated within the current front-end structure. The MVP will be validated in a clinical setting, where its usability, benefits, and clinical effectiveness will be assessed. Additionally, the platform will be integrated with major providers of Electronic Health Records. At the end of this SBIR Phase II project, an MVP ready to enter the market will have been fully developed. Future R&D efforts of AdviNOW Medical will be aimed at the development of Artificial Intelligence based diagnosis of abnormal medical conditions from self-measured biometric parameters. The mission of AdviNOW Medical is to develop a disruptive solution for the delivery of healthcare that is safe, effective, timely, efficient, and available in centralized and decentralized locations. By reducing the time for routine analysis, the actual doctor-patient encounter will be more meaningful, improving the clinical outcome as well as patient satisfaction. This invention promises to disrupt healthcare, as providers will improve cost management and profitability by visiting more patients.

项目摘要 由于医生短缺、时间限制和医疗费用，初级和急诊诊所的医疗服务严重受阻。 基础设施使用不当。人口老龄化和不健康的生活方式预计将推动 慢性病的增加和相关的国家卫生支出（占美国国内生产总值的20%） 2025年的产品）。远程医疗已被提议作为一种可能的解决方案，以减少获得护理的费用 最大限度地减少病人对卫生专业人员的依赖。然而，目前连接患者的解决方案 由于缺乏或不适当使用医疗设备，医生不允许准确诊断。咨询 建议实施计算机视觉，以提供一种临床可靠的方法来进行自我评估的重要 参数AdviNOW正在开发第一个增强现实（AR）算法，以指导任何未经训练的人 在需要时正确使用第2类医疗器械。新方法将代表 一个新的临床决策支持系统（CDSS）的组成部分，将被集成到远程医疗 平台，信息亭或任何医疗办公室自动化医疗访问，改善慢性病的管理， 疾病在第一阶段，我们通过开发心脏听诊器模块验证了产品的可行性 考试用户能够在<8秒内自主进行心音图测量，而 系统验证了器械的正确使用。在这个第二阶段项目中， 将开发具有重大临床和商业影响的最小可行产品（MVP）。这将包括 呼吸听诊、耳镜检查、口腔检查和温度控制模块。 开发的模块将被整合到当前的前端结构中。MVP将被确认 在临床环境中，将评估其可用性、受益和临床有效性。另夕h 该平台将与电子健康记录的主要提供商集成。在SBIR第二阶段结束时， 项目，准备进入市场的MVP将得到充分开发。AdviNOW未来的研发工作 医疗将致力于发展基于人工智能的异常医疗状况诊断 自我测量的生物特征参数。AdviNOW Medical的使命是开发颠覆性解决方案 提供安全、有效、及时、高效的集中和分散的医疗保健服务 地点通过减少常规分析的时间，实际的医患接触将更有意义， 改善临床结果以及患者满意度。这项发明有望颠覆医疗保健， 医疗服务提供者将通过访问更多的病人来改善成本管理和盈利能力。