Administrative Data Transfer Masking, Access, and Ethics Core
管理数据传输屏蔽、访问和道德核心
基本信息
- 批准号:10774554
- 负责人:
- 金额:$ 89.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-30 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:AgingAlzheimer&aposs disease related dementiaAreaAssisted Living FacilitiesAutomobile DrivingCaringCensusesCertificationCessation of lifeCharacteristicsClinicalCollaborationsCommunitiesDataData CollectionData LinkagesData SecurityData SetData SourcesDementiaDiscipline of NursingElectronic Health RecordEnsureEnvironmentEthicsFamilyGoalsGuidelinesHealth PersonnelHealth ResourcesHealth Services AccessibilityHealth StatusHealthcareHomeHospitalsIndividualInstitutionInvestmentsLeadershipLicensingLinkLong-Term CareMeasuresMedicaidMedicareMedicare/MedicaidNursesNursing HomesOutcomePatient-Focused OutcomesPatientsPersonsPhysiciansPoliciesPolicy MakerPopulationPrivacyProcessProcess AssessmentProviderPublic HealthQuality of CareResearchResearch PersonnelResourcesRespondentRoleSourceSpousesSurveysTrainingVariantWorkcare deliverycare outcomescare providersclinical carecommunity based servicecommunity settingdata accessdata exchangedata infrastructuredata privacydata resourcedementia caredemographicshealth care service utilizationimprovedinsightinsurance claimspatient home carepractice settingpreservationprivacy protection
项目摘要
ABSTRACT: Administrative Data Transfer, Masking, Access, and Ethics Core
The National Dementia Workforce Study (NDWS) will be launched by a national team of experts in clinical care
of persons living with dementia, survey research, and health workforce research. The goal of the NDWS data
infrastructure is to allow researchers and policymakers to ask and answer scientific questions to help build the
workforce of clinicians and other professional care providers required by the growing population of persons
living with dementia in the U.S. The Administrative Data Transfer, Masking, Access, and Ethics Core will
oversee linking of the NDWS survey data with other sources of administrative and secondary data in
combinations that can maximize scientific insights while still preserving respondent and facility privacy.
Specifically, the Administrative Data Transfer, Masking, Access, and Ethics Core will: 1) Use Medicare,
Medicaid, and assessment data to derive process and quality outcomes to characterize care delivery to PLWD
for the clinicians, facilities, and agencies in each survey of the NDWS; 2) Prepare administrative and other
secondary information sources in data sets that can be linked with NDWS respondent survey data to gain
further insights into factors that influence the workforce as well as PLWD care outcomes; 3) Establish
guidelines for restricted data access to safeguard respondent privacy.
摘要:行政数据传输,掩盖,访问和道德核心
国家痴呆症劳动力研究(NDWS)将由国家临床护理专家团队启动
患有痴呆症,调查研究和健康劳动力研究的人。 NDWS数据的目标
基础设施是允许研究人员和政策制定者提出和回答科学问题,以帮助建立
临床医生和其他专业护理提供者的劳动力人数不断增长
在美国与痴呆症生活在一起的行政数据传输,掩盖,访问和道德核心将
监督NDWS调查数据与其他管理和辅助数据的链接
可以最大程度地提高科学见解的同时仍然保留受访者和设施隐私的组合。
具体而言,行政数据传输,掩盖,访问和道德核心将:1)使用Medicare,
医疗补助和评估数据以得出流程和质量结果,以表征向PLWD提供护理
对于NDWS调查中的临床医生,设施和机构; 2)准备行政和其他
数据集中的二级信息源,可以与NDWS受访者调查数据链接
进一步了解影响劳动力以及PLWD护理结果的因素; 3)建立
限制数据访问权限的确保受访者隐私的指南。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('STEVEN C MARCUS', 18)}}的其他基金
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
使用电子健康记录和索赔的机器学习急诊科自杀预测算法的开发和临床解释
- 批准号:
10277514 - 财政年份:2021
- 资助金额:
$ 89.81万 - 项目类别:
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
使用电子健康记录和索赔的机器学习急诊科自杀预测算法的开发和临床解释
- 批准号:
10462646 - 财政年份:2021
- 资助金额:
$ 89.81万 - 项目类别:
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
使用电子健康记录和索赔的机器学习急诊科自杀预测算法的开发和临床解释
- 批准号:
10631239 - 财政年份:2021
- 资助金额:
$ 89.81万 - 项目类别:
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
使用电子健康记录和索赔的机器学习急诊科自杀预测算法的开发和临床解释
- 批准号:
10809977 - 财政年份:2021
- 资助金额:
$ 89.81万 - 项目类别:
Improving the Emergency Department Management of Deliberate Self-Harm
完善急诊科对故意自残的管理
- 批准号:
9512435 - 财政年份:2017
- 资助金额:
$ 89.81万 - 项目类别:
Improving the Emergency Department Management of Deliberate Self-Harm
完善急诊科对故意自残的管理
- 批准号:
9265516 - 财政年份:2016
- 资助金额:
$ 89.81万 - 项目类别:
Emergency Department Recognition of Mental Disorders and Short-Term Outcome of Deliberate Self-Harm in Older Adults
急诊科对老年人精神障碍和故意自残的短期结果的认识
- 批准号:
9443725 - 财政年份:2016
- 资助金额:
$ 89.81万 - 项目类别:
Improving the Emergency Department Management of Deliberate Self-Harm
完善急诊科对故意自残的管理
- 批准号:
9904783 - 财政年份:2016
- 资助金额:
$ 89.81万 - 项目类别:
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