Respiratory Syncytial Virus (RSV) Curated Dataset

**Overview:**

RSV is a leading cause of respiratory infections, particularly in infants and young children. It is estimated that RSV infections result in millions of hospitalizations and healthcare visits globally each year​

**Why a curated dataset?**

**Navigating through the complexities of data acquisition for your research shouldn’t be a challenge.**

TriNetX is here to simplify the process. Let our data and platform experts handle the intricate task of data curation with **curated, fit-for-purpose datasets.**

We’ve worked closely with our HCO network to understand specific needs around key therapeutic areas, and crafted **bespoke, research-ready datasets,** ensuring you receive **valuable data without the hassle.**

**Key Features:**
Depending on your research needs, you can leverage multiple sources of data that has all been sourced from TriNetX’s rich US network to create a de-identified, row level patient curated dataset(s):

- Each dataset is manually curated by a team of doctors, data scientists, and key opinion leaders
- Sourced from over 62 U.S. healthcare organizations that represents more than 150+ academic and community hospitals consisting of inpatient and outpatient settings
- Majority of EHR data sources are refreshed every 2 to 4 weeks
- RSV EHR data representation:

488K Total RSV patients sources from EHR
92% of the patients have race or ethnicity data available
163K patients from EHR + Closed Claims
130K patients that are Linkable to other third party data sources
94% patients with Vital Signs and Lab Results
6.5K pediatric patient RSV vaccinations over last 3 years​
76% patients with ER or inpatient hospitalization encounter

- Option to link with other data sources available, like Closed Claims and other third-party data within the Datavant ecosystem
- Normalized to TriNetX’s standards-based master terminology that allows for ease of searching and aggregation
- Created in an OMOP-inspired Native TriNetX common data model
Patient
Diagnosis
Medications
Labs
Vitals
And more…

- A Methodology Guide is included and describes how the curated data set was created
- Data profile and coverage reports accompany each data set
- Access to doctors and data scientists to clarify or ask any outstanding questions

**Common Use Cases:**

- Comparative safety and efficacy
- Treatment patterns
- Patient Journey / Longitudinal Analysis
- Baseline disease severity
- Disease progression

**Sample Data set**
Coming Soon!

**Licensing**
For additional information regarding one of our curated data sets, please request access through the Databricks Marketplace.

**概述：**
呼吸道合胞病毒（Respiratory Syncytial Virus，RSV）是引发呼吸道感染的主要病因，尤其对婴幼儿群体影响显著。据估算，全球每年因RSV感染导致的住院与就医人次达数百万。

**为何需要精选数据集（curated dataset）？**
为您的研究开展数据采集时，不必再为繁杂的流程望而却步。TriNetX可助您简化这一流程：我们的数据与平台专家将依托**经精选的、适配研究需求的数据集（curated, fit-for-purpose datasets）**，完成数据精选这项复杂工作。
我们与医疗保健组织（HCO）网络紧密协作，深入洞察关键治疗领域的特定需求，打造**定制化、可直接用于研究的数据集（bespoke, research-ready datasets）**，让您无需费心即可获取高价值数据。

**核心特性：**
根据您的研究需求，您可利用源自TriNetX丰富的美国医疗网络的多源数据，构建经去标识化的行级患者精选数据集：
- 每份数据集均由医生、数据科学家与行业关键意见领袖组成的团队人工精选
- 数据源自62余家美国医疗保健机构，覆盖150余家学术与社区医院，包含住院与门诊场景
- 绝大多数电子健康记录（Electronic Health Record，EHR）数据源每2至4周更新一次
- RSV相关EHR数据概况：
- 从EHR中获取的RSV患者总计48.8万例
- 其中92%的患者具备种族或族裔数据
- 结合EHR与闭合索赔数据的患者共16.3万例
- 可与其他第三方数据源关联的患者共13.0万例
- 94%的患者具备生命体征与实验室检查结果数据
- 近3年内接种RSV疫苗的儿科患者共6500例
- 76%的患者曾有急诊或住院就诊经历
- 支持与Datavant生态内的闭合索赔及其他第三方数据源进行关联
- 采用符合TriNetX标准的标准化主术语体系，便于检索与聚合
- 基于受OMOP（观察性医疗结果合作组织）启发的原生TriNetX通用数据模型构建，涵盖患者、诊断、用药、实验室检查、生命体征等多类数据
- 附赠方法学指南，详细说明精选数据集的构建流程
- 每份数据集均附带数据概况与覆盖范围报告
- 可联系医生与数据科学家解答任何遗留疑问

**典型应用场景：**
- 比较安全性与有效性研究
- 治疗模式分析
- 患者旅程/纵向分析
- 基线疾病严重程度评估
- 疾病进展研究

**示例数据集：**
即将上线！

**授权方式：**
如需了解我们精选数据集的更多信息，请通过Databricks Marketplace申请访问权限。

搜集汇总

背景与挑战

背景概述

该数据集聚焦呼吸道合胞病毒(RSV)研究，包含来自美国62家医疗机构的48.8万患者电子健康记录，92%记录含种族信息，94%含生命体征和实验室结果。数据经专业团队标准化处理，支持疗效比较、治疗模式分析等多种临床研究场景。