NIA AD/ADRD Health Care Systems Research Collaboratory

项目摘要 NIA IMPACT合作实验室COVID相关补充，资助长期 护理数据合作社[U 54 AG 063546 - 02 S6]建立了一个合作社， 构建养老院电子病历（EMR）集中存储库 来自三个不同EMR供应商的数据。许多养老院公司使用一个 这三家供应商中有三家已注册成为会员，授权其EMR供应商 将临床相关数据（包括标识符）传输到集中存储库 在美国卫生保健协会（AHCA）的赞助下运作 大多数美国疗养院的会员协会[https://www.ahcancal.org/Data- /Pages/LTC-Data-Cooperative.aspx]。除了监管 所需的最小数据集信息，整合的EMR数据包括所有 流行和事件诊断、医嘱、给药记录、 条件记录，每日生命体征，事件报告，疫苗接种，行为跟踪， 认知和身体功能的日常变化，对于某些设施，实验室 和诊断测试结果。 为了方便使用这些数据进行公共卫生监测， 与疾病中心的领导层和研究分析师密切合作， 控制和预防，布朗大学的调查人员建议调查 有效性的感染数据在养老院电子病历探索的可行性，使用 EMR数据，以确定疗养院居民中的两种传染病。这些 将在与CDC官员协商后选择， SARS-CoV-2和其他肺部病毒与其他常见疾病（如艰难梭菌）的关系 目的是建立每种感染发生率的指标， 看起来是有效的，并且可以被可靠地检测到。

PROJECT SUMMARY The NIA IMPACT Collaboratory COVID related supplement that funded the Long Term Care Data Cooperative [U54AG063546-02S6] established a cooperative that is compiling a centralized repository of nursing home electronic medical record (EMR) data from three different EMR vendors. Numerous nursing home companies using one of these three vendors have signed up as members, authorizing their EMR vendor to transfer clinically relevant data, complete with identifiers, to a centralized repository operating under the auspices of the American Health Care Association (AHCA) a membership association of most US nursing homes [https://www.ahcancal.org/Data- and-Research/Pages/LTC-Data-Cooperative.aspx]. In addition to the regulatory required Minimum Data Set information, EMR data being consolidated include all prevalent and incident diagnoses, orders, medication administration records, change of condition records, daily vital signs, incident reports, vaccinations, behavior tracking, daily changes in cognitive and physical functioning, and for some facilities, laboratory and diagnostic test results. To facilitate use of these data for the purpose of conducting public health surveillance, in close collaboration with leadership and research analysts at the Centers for Disease Control and Prevention, Brown University investigators propose to Investigate the validity of infection data in the nursing home EMR by exploring the viability of using the EMR data to identify two infectious conditions among nursing home residents. These will be selected in consultation with CDC officials and could range from the occurrence of SARS-CoV-2 and other pulmonary viruses to other common conditions like C-Difficile with the goal of creating indicators of the incidence of each type of infection that appears valid and reliably detected.