Building a Digital Respiratory Disease Framework for COPD management in Central Appalachia
为阿巴拉契亚中部的慢性阻塞性肺病管理建立数字呼吸系统疾病框架
基本信息
- 批准号:10480681
- 负责人:
- 金额:$ 25.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-26 至 2023-11-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAdoptionAmericanAppalachian RegionArtificial IntelligenceArtificial Intelligence platformBehavioralBiometryCaringCause of DeathChronic DiseaseChronic Obstructive Pulmonary DiseaseClinicClinic VisitsClinicalCommunicationCommunitiesCompanionsComputer softwareCost SavingsCost of IllnessCountyDataData CollectionData SetDevicesDiagnosisDiseaseDisease ManagementElectronic Health RecordEnvironmental Risk FactorGeographyGoalsHandHealthHealth care facilityHealth systemHomeHospitalizationIncidenceInsuranceKnowledgeLeadMeasuresMedicalMedical HistoryMississippiModelingMonitorMorbidity - disease rateNon-MalignantOutcomeOxygenOzonePatient TriagePatientsPhasePhysiciansPhysiologic pulsePopulationPovertyPreventiveProviderPulse OximetryQuestionnairesReadingRecordsRespirationRespiratory DiseaseRespiratory Signs and SymptomsRiskRisk FactorsRuralRural CommunityRural PopulationSecureSelf AdministrationSelf ManagementSmall Business Innovation Research GrantSpecialistSteroidsStethoscopesSurveysSymptomsTechnologyTelemedicineTelephoneTemperatureTestingTimeTravelTreatment CostTriageUninsuredVirginiaVisitWeatheradherence rateartificial intelligence algorithmbasecommercial applicationcostdemographicsdesigndigitaldisorder controleffective therapyevidence basehandheld equipmenthealth care qualityhealth disparityimprovedinnovationintelligent algorithmmortalityremote monitoringrespiratoryrespiratory healthrural Americarural Americansrural arearural dwellerssatisfactionsensorsmartphone Applicationsocialsocial culturesocial factorssocioeconomicssoundstandard of caretechnological innovationtelehealthtreatment planningusabilitywearable device
项目摘要
PROJECT SUMMARY/ABSTRACT
Compared to urban residents, rural communities have higher rates of chronic obstructive pulmonary disease
(COPD) with worse disease control, resulting in higher rates of morbidity and mortality. In general, rural residents
suffer from higher poverty and uninsured rates, further compounded by geographic isolation and limited access
to quality healthcare. This and other social factors have resulted in higher incidence and worse outcomes of
nearly every chronic disease. Telehealth holds promise to address these challenges and expand access to
specialist care in these communities, but qualitative telehealth visits often lack necessary patient data for
physicians to make informed management decisions. Telemedicine is also often hindered by limited broadband
access in rural areas. Wearable technologies for remote monitoring suffer similar limitations, and, due to cost
and burdensome daily engagement requirements, lead to poor adherence rates in an older, sicker population.
To address these challenges, Medentum is developing an affordable and accessible, multi-functional, home-use
device featuring a camera, low-cost sensors (temperature, pulse oximeter) and a digital stethoscope. A
companion phone application allows the recording of demographics, sociocultural data, medical history, and
symptoms, and guides the patient to collect their biometric readings with the handheld device. Without the
necessity of broadband, the patient can transmit their information securely to a remote physician/chronic disease
specialist who can make a diagnosis and treatment plan. For this SBIR, Medentum will adapt its device and
software platform for respiratory disease, layering it with artificial intelligence (AI) algorithms, to create a digital
respiratory disease framework (DRDF) that empowers self-management of COPD. The aims of this SBIR are to
1) study the usability and feasibility of this COPD respiratory framework in a rural Central Appalachian population
of 75 patients in Southwest Virginia and 2) build preliminary AI algorithms that autonomously predict COPD
exacerbation risk by analyzing low burden variables including risk factors (social, behavioral, environmental),
symptoms, COPD Assessment tests, and device biometrics (temperature, pulse, oxygen saturation, respiration
rate and breath sounds). In Phase II, the platform will incorporate smart triggers that will alert patients if certain
environmental risk factors are met, prompting them to engage with the platform. The smart algorithms will then
automatically predict their COPD exacerbation risk, ultimately triaging them to appropriate treatment. Predicting
and pre-empting disease exacerbation by facilitating early connections to medical providers for prompt and
effective treatment will have an enormous impact on health outcomes and treatment costs for rural COPD
patients. Ultimately, this platform will augment COPD self-management, promote preventive respiratory care,
and disseminate evidence-based COPD treatments, all designed to reduce the significant health disparities in a
remote, underserved Central Appalachian population with worse respiratory outcomes.
项目概要/摘要
与城市居民相比,农村社区慢性阻塞性肺病患病率更高
(慢性阻塞性肺病)疾病控制较差,导致发病率和死亡率较高。一般来说,农村居民
贫困率和无保险率较高,地理隔离和准入限制进一步加剧了这种情况
优质的医疗保健。这一社会因素和其他社会因素导致了该病的发病率更高,结果更差。
几乎所有慢性疾病。远程医疗有望解决这些挑战并扩大获得服务的机会
这些社区的专家护理,但定性远程医疗就诊往往缺乏必要的患者数据
医生做出明智的管理决策。远程医疗也经常受到宽带有限的阻碍
农村地区的访问。用于远程监控的可穿戴技术也受到类似的限制,并且由于成本
繁重的日常参与要求导致老年人、病情较重的人群的依从率很低。
为了应对这些挑战,Medentum 正在开发一种价格实惠、易于使用、多功能、家用的产品
该设备配有摄像头、低成本传感器(温度、脉搏血氧计)和数字听诊器。一个
配套的手机应用程序可以记录人口统计数据、社会文化数据、病史和
症状,并指导患者使用手持设备收集生物识别读数。如果没有
宽带的必要性,患者可以将其信息安全地传输给远程医生/慢性病
可以制定诊断和治疗计划的专家。对于此 SBIR,Medentum 将调整其设备并
针对呼吸系统疾病的软件平台,将其与人工智能 (AI) 算法分层,创建数字化
呼吸系统疾病框架(DRDF),增强慢性阻塞性肺病的自我管理能力。该 SBIR 的目标是
1) 研究该 COPD 呼吸框架在阿巴拉契亚中部农村人口中的可用性和可行性
弗吉尼亚州西南部的 75 名患者和 2) 构建了初步的人工智能算法来自主预测慢性阻塞性肺病
通过分析包括风险因素(社会、行为、环境)在内的低负担变量来确定恶化风险,
症状、COPD 评估测试和设备生物识别(温度、脉搏、血氧饱和度、呼吸
率和呼吸音)。在第二阶段,该平台将纳入智能触发器,如果某些情况会向患者发出警报
环境风险因素得到满足,促使他们参与该平台。然后智能算法将
自动预测他们的慢性阻塞性肺病恶化风险,最终对他们进行适当的治疗。预测
并通过促进与医疗提供者的早期联系以迅速和有效地预防疾病恶化
有效的治疗将对农村慢性阻塞性肺病的健康结果和治疗费用产生巨大影响
患者。最终,该平台将增强慢性阻塞性肺病的自我管理,促进预防性呼吸护理,
并传播基于证据的慢性阻塞性肺病治疗方法,所有这些都是为了减少各地区显着的健康差距
偏远、服务水平低下的阿巴拉契亚中部人口,其呼吸系统状况较差。
项目成果
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