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InheRET: A SaaS solution to identify patients at increased risk for hereditary disease.

InheRET：一种 SaaS 解决方案，用于识别遗传性疾病风险增加的患者。

基本信息

批准号：
10157469
负责人：
David Freeman Keren
金额：
$ 99.36万
依托单位：
INHERET, INC
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-05-01 至 2022-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10157469
关键词：
Amendment Appointment Cancer-Predisposing Gene Caring Clinic Clinical Collection Communication Communities Complex Computer software Counseling DNA Sequence Alteration Data Databases Decision Making Development Devices Disease Early Diagnosis Education Electronic Health Record Ensure Evaluation Family Family history of Gene Mutation Genetic Genetic Counseling Genetic Risk Genetic Screening Goals Guidelines Health Personnel Health Services Accessibility Health system Healthcare Hereditary Disease Heritability Hospitals Improve Access Individual Inherited Insurance Insurance Coverage Intervention Letters Licensing Link Malignant Neoplasms Medical Medical Records Morbidity - disease rate National Comprehensive Cancer Network Oncologist Oncology Operative Surgical Procedures Outcome Output Patient Education Patient risk Patients Persons Phase Physicians Pilot Projects Population Practice Guidelines Predisposition Prevention Prevention education Preventive care Primary Health Care Process Provider Recommendation Recording of previous events Reporting Risk Risk Management Risk Reduction Route Site System Test Result Testing Time Update Work base cancer diagnosis cancer health disparity cancer risk care providers cognitive computing cognitive testing commercial application commercialization computer generated computerized data processing disorder risk genetic counselor genetic testing hereditary risk in silico individualized medicine mortality neoplastic personalized management programs screening screening guidelines standard of care success support tools technological innovation tool web-enabled

项目摘要

PROJECT SUMMARY This project is to expand the InheRET Inherited Risk Evaluation Tool to include recommendations for testing of patients at increased risk for hereditary disease, adding patient navigation features and customizable database entries for healthcare providers. This will include the development, integration and testing of InheRET 3.0 followed by pilot testing in 5 diverse clinics. InheRET's aim is to quickly and easily identify individuals at increased risk for hereditary diseases enabling them to access downstream care, reducing morbidity and mortality. InheRET's unique features reduces clinical ascertainment barriers, streamlines workflows and enhances profitability within health systems. The aims for this project are to complete in silico (computer generated) testing of the cognitive computing engine of InheRET followed retrospective testing and finally, pilot testing in a variety of clinical settings to determine if any additional changes are needed to the product prior to commercialization. In addition, we will expand the integration of the InheRET program with an EPIC electronic health record system, providing hard and/or soft alerts for providers as patient reports become available. Success will be determined if we achieve 100% concordance with the in silico testing (i.e. the cognitive computing engine functions correctly), 98% concordance with clinical determinations in the clinical pilot testing, and 100% concordance in the integration testing (all patient reports are appropriately and seamlessly routed to the proper medical records). Our primary objective is to produce an accurate, easy-to-use and understandable report to ensure patients who may unknowingly harbor inherited genetic mutations are identified, thereby enabling them to access genetic counselors and testing along with appropriate downstream care. While both patient and physician reports are provided, the physician reports will be enhanced by providing recommended genes for testing with streamlined ordering processes. By doing so, patients can reduce their risk of disease, receive tailored treatment if they incur disease, and reduce overall mortality.

项目摘要本项目旨在扩展InheRET遗传风险评估工具，以纳入以下测试建议：遗传性疾病风险增加的患者，增加患者导航功能和可定制的数据库医疗保健提供者的入口。这将包括InheRET 3.0的开发、集成和测试然后在5个不同的诊所进行试点测试。InheRET的目标是快速轻松地识别个人，增加遗传性疾病的风险，使他们能够获得下游护理，降低发病率， mortality. InheRET的独特功能减少了临床确定障碍，简化了工作流程，提高卫生系统的盈利能力。该项目的目标是在silico（计算机 InheRET的认知计算引擎的测试遵循回顾性测试，最后，试点在各种临床环境中进行测试，以确定在商业化此外，我们还将扩大InheRET计划与EPIC电子产品的整合，健康记录系统，在患者报告可用时为提供者提供硬和/或软警报。如果我们与计算机模拟测试（即认知测试）达到100%一致，则确定成功计算引擎功能正确），与临床试验中的临床测定结果的一致性为98%，在集成测试中实现100%的一致性（所有患者报告均适当且无缝地发送至正确的医疗记录）。我们的主要目标是制作一份准确、易于使用和理解的报告，以确保患者那些可能在不知不觉中携带遗传基因突变的人被识别出来，从而使他们能够获得遗传咨询师和测试沿着适当的下游护理。虽然病人和医生报告，医生报告将通过提供推荐的基因进行测试来增强，简化的订购流程。通过这样做，患者可以降低患病风险，治疗，如果他们招致疾病，并降低总体死亡率。