SCH: INT A.Soclotechnilcal Systems Systems Approach for Improving Tuberculosis Diagnostics Using Mobile Health Technologies

SCH：INT A.Soclotechnilcal Systems 使用移动医疗技术改进结核病诊断的系统方法

• 批准号: 9150601
• 负责人: Maria Julia Brunette
• 金额: $ 32.66万
• 依托单位: UNIVERSITY OF MASSACHUSETTS LOWELL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9150601
• 关键词: Academia; Address; Affect; Algorithms; Area; Benchmarking; Biomedical Technology; Capital; Cessation of life; Chest; Chronic Disease; Cities; Classification; Clinic; Communicable Diseases; Communities; Community Health; Complex; Computer Assisted; Computer Systems; Computer software; Computers; Data; Data Analytics; Databases; Development; Diagnosis; Diagnostic; Diagnostic radiologic examination; Discipline; Engineering; Epidemic; Evaluation; Female; Goals; Health; Health Professional; Health Sciences; Health Technology; Healthcare; Healthcare Systems; Hispanics; Human; Image; Image Analysis; Image Enhancement; Imaging Techniques; Intervention; Learning; Lung nodule; Machine Learning; Medical; Minority; Mission; National Institute of Biomedical Imaging and Bioengineering; Outcome; Patients; Peru; Process; Public Health; Reader; Recruitment Activity; Reporting; Research; Research Infrastructure; Resources; Running; Sensitivity and Specificity; Software Tools; System; Systems Analysis; Techniques; Technology; Testing; Thoracic Radiography; Time; Training; Treatment Protocols; Tuberculosis; Underrepresented Students; University Hospitals; Vaccines; Wireless Technology; Woman; World Health Organization; accurate diagnosis; base; bioimaging; biomedical informatics; clinical practice; compliance behavior; data exchange; design; digital imaging; disadvantaged population; disease transmission; global health; handheld mobile device; image processing; improved; mHealth; mobile computing; novel; open source; point of care; programs; public health relevance; reproductive; screening; social; social inequality; telehealth; tool

 DESCRIPTION (provided by applicant): Efforts to reduce the burden of Tuberculosis (TB) are challenged by the persistent social inequalities in health, the limited number of local healthcare professionals, and the weak healthcare infrastructure found in resource-poor communities. Reducing the TB diagnosis delay is critical in mitigating disease transmission and minimizing the reproductive rate of the TB epidemic in high-burden areas. The main objective of this proposal is to expedite the TB diagnosis process by developing novel image processing and machine learning techniques to analyze chest X-ray images thus reducing patient wait times for being diagnosed with TB. The study will be conducted in the district of Carabayllo, a densely occupied, high-burden TB area in Lima, the capital of Perú. Efforts to develop the proposed user-centered, mobile device-based computing system are aligned with the mission of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and its strategic goals 2 and 4 in particular-the proposed socio-technical intervention aims at developing biomedical imaging techniques (i.e. wireless and image sensing/analyzing) to enable a point-of-care mobile device-based computing system for TB screening and diagnostic. Anticipated outcomes include a) a large-scale, real-world, well-annotated, and public available chest X-ray image database for TB screening, b) development of new image analysis techniques for X-ray image capturing and pre- processing, and c) novel learning-based feature extraction and classification algorithms. This interdisciplinary effort, involving community, university, hospitals and health care establishments in all stages of the research, responds to the need for increased partnerships between academia and community stakeholders, and the potential for building capacity in biomedical and technology solutions for health in both directions (North-South, South-North). Its scientific contribution lies in the intersection of three NIBIB scientific program areas including image processing, telehealth, and biomedical informatics.

 描述（由申请人提供）：减少结核病（TB）负担的努力受到健康方面持续存在的社会不平等、当地医疗保健专业人员数量有限以及资源匮乏社区的医疗基础设施薄弱的挑战。诊断延迟对于减轻疾病传播和降低高负担地区结核病流行的繁殖率至关重要。该提案的主要目标是通过开发新型图像处理和技术来加快结核病诊断过程。该研究将在秘鲁首都利马人口稠密、结核病高发地区卡拉巴约地区进行。开发拟议的以用户为中心、基于移动设备的计算系统符合国家生物医学成像和生物工程研究所 (NIBIB) 的使命及其战略目标 2 和 4，特别是社会技术干预旨在开发生物医学成像技术（即无线和图像传感/分析），以实现基于护理点移动设备的计算系统，用于结核病筛查和诊断。预期结果包括：a）大规模、真实的。 -用于结核病筛查的世界性、注释清楚且公开的胸部 X 射线图像数据库，b) 开发用于 X 射线图像捕获和预处理的新图像分析技术，以及 c) 新颖的基于学习的特征提取和分类算法。跨学科努力，涉及社区、大学、医院和医疗保健机构参与研究的各个阶段，满足了学术界和社区利益相关者之间加强伙伴关系的需要，以及双向健康生物医学和技术解决方案能力建设的潜力（北南、南北）。其科学贡献在于三个 NIBIB 科学项目领域的交叉点，包括图像处理、远程医疗和生物医学信息学。