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Consumer health insights and Social Determinants of Health

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Snowflake2025-08-18 更新2025-08-19 收录
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# **Social Determinants of Health (SDOH) and consumer health insights data** Gain deeper insight into the factors that impact consumer health outcomes and behaviors. AnalyticsIQ’s SDOH and consumer health attitudes and behaviors data delivers individual and household-level insights across a wide range of social, economic, attitudinal, behavioral, and environmental factors that shape health outcomes.<br/>Designed to power healthcare marketing, population health, analytics, and research — this data goes beyond traditional clinical or claims data to reveal the human drivers behind health and wellness. ## **Coverage and Scale:** - 265+ million individuals | 127+ million households | U.S. coverage - Individual and household-level data designed for engagement, segmentation, and population health analysis ## **Why our SDOH data is different:** - **Proprietary modeling:** Built using superior analytics and Cognitive Sciences – an unmatched methodology to predict behaviors based on more than an action or self-reported response, but also the why. - **Granular insights:** Many behavioral and attitudinal variables leverage 1–7 Likert scales for richer signal strength. - **De-identification:** Available in anonymized formats via tokenization through our partnership with Datavant. ## **Sample Data Points:** - Number of individuals in household - Ethnicity - Exercise frequency (1–7 scale) - Overall wellness index - Job satisfaction (1–7 scale) - Stress level (1–7 scale) - Likelihood of having a primary care doctor - Likelihood of pet ownership - Number of vehicles owned ## **Common Use Cases:** - Healthcare marketing and audience targeting - Population health management for member / patient engagement strategies - Health equity and SDOH analytics - Predictive modeling for wellness and predicting outcomes - Public health and social research - Health plan member engagement **How to Access AnalyticsIQ Data in Snowflake** 1. **Kick off with a strategy session:** Meet with our data experts to align on your goals, use cases, and the specific data fields you need. 2. **Review your tailored data plan:** We’ll provide a proposal outlining exactly which datasets we’ll share and how they map to your needs. 3. **Finalize the agreement:** Sign the agreement to get your secure Snowflake data share in motion. 4. **Share your Snowflake connection details:** Provide your Snowflake Account Locator or Organization Name, along with your Cloud Provider and Region. 5. **Start using your new data:** Once connected, you’ll be able to query high-value AnalyticsIQ data directly within your Snowflake account.
提供机构:
AnalyticsIQ
创建时间:
2025-08-11
原始信息汇总

Consumer health insights and Social Determinants of Health 数据集概述

数据集描述

  • 提供方: AnalyticsIQ
  • 数据内容: 提供关于影响消费者健康结果和行为的非临床因素的个体和家庭级别洞察,涵盖社会、经济、态度、行为和环境影响等多方面因素。
  • 设计用途: 用于医疗保健营销、人口健康分析、研究和预测建模。

覆盖范围与规模

  • 个体数量: 265+ 百万
  • 家庭数量: 127+ 百万
  • 地理覆盖: 美国全境

数据特点

  • 专有建模: 基于高级分析和认知科学预测行为。
  • 细粒度洞察: 使用1-7 Likert量表提供丰富的行为和态度变量。
  • 去标识化: 通过Datavant合作伙伴关系提供匿名化格式。

示例数据点

  • 家庭成员数量
  • 种族
  • 锻炼频率(1-7级)
  • 整体健康指数
  • 工作满意度(1-7级)
  • 压力水平(1-7级)
  • 拥有初级保健医生的可能性
  • 拥有宠物的可能性
  • 拥有的车辆数量

常见应用场景

  • 医疗保健营销和受众定位
  • 人口健康管理
  • 健康公平和社会决定因素分析
  • 预测建模
  • 公共卫生和社会研究
  • 健康计划成员参与

数据更新频率

  • 更新周期: 季度更新

地理覆盖

  • 覆盖范围: 美国所有州

联系方式

  • 销售: sales@analytics-iq.com
  • 支持: sales@analytics-iq.com

关于提供方

  • 公司: AnalyticsIQ
  • 成立时间: 2007年
  • 总部: 亚特兰大
  • 专长: 结合认知心理学和数据科学,提供个体和职业层面的深入洞察。
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供美国2.65亿个人和1.27亿家庭的社会健康决定因素(SDOH)及健康态度行为数据,包含多维度的个人/家庭层面指标,采用专有建模和Likert量表方法,主要服务于医疗营销、人口健康管理等应用场景。数据可通过Snowflake平台获取。
以上内容由遇见数据集搜集并总结生成
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