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

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:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-06-13 至 2023-01-31
关键词:
AbdomenAlgorithmsArtificial IntelligenceAugmented RealityAuscultationAutomationBiometryBloodBlood PressureCaringChestChronicChronic DiseaseClient satisfactionClinicClinicalClinical Decision Support SystemsClinical effectivenessComputer Vision SystemsComputer softwareDataDecentralizationDependenceDevelopmentDevicesDiagnosisDiagnosticDiffusionDropsEarElectronic Health RecordEnvironmentFamily memberFutureHealth ExpendituresHealth PersonnelHealth ProfessionalHealth Services AccessibilityHealth StatusHealthcareHealthcare SystemsHeartHypersensitivityImageInfrastructureInjectableLocationLungMeasurementMeasuresMedicalMedical AssistanceMedical DeviceMedical RecordsMedicineMissionModelingMonitorNoseOral cavityOtoscopesOutcomeOxygenPatient-Focused OutcomesPatientsPerformancePersonsPharmaceutical PreparationsPharyngeal structurePhasePositioning AttributePrimary Health CareProtocols documentationProviderRecording of previous eventsReportingResearch PersonnelRespiratory SoundsSelf AssessmentSelf-ExaminationSiteSite VisitSmall Business Innovation Research GrantStethoscopesStructureSymptomsSystemTelemedicineTemperatureTestingTherapeuticThermometersTimeValidationVisitWeightWorkaccurate diagnosisaging populationbasecare deliveryclinical decision supportcommercializationcostdesigndiagnostic tooldigitalhealth care deliveryhealth care qualityimprovedinnovationinterestinventionnovelnovel strategiespressurepreventproduct developmentresearch and developmentrespiratorysoundsupport toolsunhealthy lifestyleurgent careusabilityvolunteer

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中文摘要
翻译
项目总结 初级和紧急诊所的护理服务受到医生短缺、时间限制和 基础设施使用不当。不断增长的老龄化人口和不健康的生活方式预计将推动 慢性病和与之相关的国民卫生支出的增加(占美国国内生产总值的20% 到2025年生产)。远程医疗已被提出作为一种可能的解决方案,以降低获得护理的成本 最大限度地减少患者对卫生专业人员的依赖。然而,目前连接患者的解决方案 由于缺乏或不适当地使用医疗器械,医生不允许进行准确的诊断。AdviNow 建议实施计算机视觉,以提供临床上可靠的方法来执行生命体检的自我评估 参数。AdviNow正在开发第一个增强现实(AR)算法,以指导任何未受过培训的人 在需要的时候正确使用第二类医疗器械。新的方法将代表核心 将集成到远程医疗中的新型临床决策支持系统(CDSS)的组成部分 平台、自助服务亭或任何医疗机构可实现医疗就诊自动化,从而改善慢性病患者的管理 疾病。在第一阶段,我们通过开发心脏听诊器模块来验证我们产品的可行性 考试。用户能够在8秒内自动进行心音图测量,而 系统已验证设备的使用是否正确。在此第二阶段项目中, 将开发具有重大临床和商业影响的最小可存活产品(MVP)。这将包括 用于呼吸道听诊、耳镜检查、口腔检查和温度控制的模块。 然后,所开发的模块将整合到目前的前端结构中。MVP将得到验证 在临床环境中,将评估其可用性、益处和临床有效性。此外, 平台将与电子健康记录的主要提供商整合。在此SBIR第二阶段结束时 项目,一个最有价值球员准备进入市场将得到充分发展。AdviNOW未来的研发努力 医学将致力于发展基于人工智能的异常医疗条件诊断 来自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、集中和分散的医疗保健 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, 提高临床疗效和患者满意度。这项发明有望颠覆医疗保健,因为 服务提供者将通过拜访更多的患者来改善成本管理和盈利能力。
英文摘要
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.
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