RADECT is developing a clinical guidance (CG) software for nurse education and practitioners to evaluate experiential case-files for the purpose of augmenting health disparity/equity clinical care.

RADECT 正在为护士教育和从业人员开发临床指导 (CG) 软件，以评估经验病例档案，以扩大健康差距/公平临床护理。

• 批准号: 10038114
• 负责人: Yeshaya Koblick
• 金额: $ 73.08万
• 依托单位: RADECT, INC.
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-10 至 2022-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10038114
• 关键词: Address; Adopted; Augmented Reality; Automobile Driving; Back; Boston; Businesses; Cardiovascular system; Caregivers; Caring; Case Study; Chronic Disease Hospitals; Clinical; Clinics and Hospitals; Communities; Community Hospitals; Computer software; Computers; Data; Data Files; Data Set; Decision Making; Devices; Diagnosis; Dictionary; Discipline; Discipline of Nursing; Disease; Education; Environment; Faculty; Future; Genomics; Guidelines; Health; Health Care Costs; Health Services Accessibility; Healthcare; Human; Improve Access; Intervention; Knowledge; Language; Learning; Legal patent; Machine Learning; Massachusetts; Maternal Health; Medical; Methods; Mission; Modeling; Monitor; Nurse Practitioners; Nurses; Nursing Education; Paper; Pathway interactions; Patients; Performance; Phase; Physicians; Pilot Projects; Play; Policies; Prevention; Primary Health Care; Protocols documentation; Psychological reinforcement; Quality Control; Quality of Care; Research; Site; Small Business Innovation Research Grant; Specialist; System; Systems Biology; Techniques; Technology; Testing; Time; Training; Transcend; United States National Institutes of Health; Universities; Update; Validation; Vocabulary; Writing; application programming interface; base; blockchain; cardiovascular risk factor; care costs; clinical care; clinically relevant; cost; cost effective; cost effectiveness; crowdsourcing; dashboard; disadvantaged population; distributed ledger; health disparity; health equity; hospital readmission; improved; indexing; innovation; learning algorithm; learning strategy; mortality; nutrition; programs; public health relevance; repository; respiratory; sensor; skills; socioeconomics; software systems; visual information

Project Summary/Abstract Our NIH SBIR project is to validate a Clinical Guidance System to assist practitioners in underserved and health disparity environments. We will apply our Clinical Guidance System for nurse education. The Clinical Guidance System is being trained across diverse medical disciplines across various healthcare data. This will then guide practitioners in diagnosis and treatment knowledge. The Clinical Guidance System is to improve access to care for the underserved and health disparity without increasing cost. The specific aims are the following, 1) to demonstrate effective software learning algorithms, and 2) to relate the index patient to other patient case-files in accuracy and agility. This project supports the given NIH Mission in seeking better health for everyone.

项目总结/摘要 我们的国家卫生研究院SBIR项目是验证临床指导系统，以帮助从业人员 服务不足和健康差距的环境。我们将应用我们的临床指南 护士教育体系。临床指导系统正在接受培训， 跨各种医疗保健数据的不同医学学科。这将引导 从业人员的诊断和治疗知识。临床指导系统旨在 在不增加成本的情况下，改善服务不足和健康差距的医疗服务。 具体目标如下：1）展示有效的软件学习 算法，以及2）将索引患者与其他患者病例文件准确地关联起来， 敏捷该项目支持给定的NIH使命，为 大家