HCP - Provider as a Person Intelligence

## **Healthcare Provider Consumer & Professional Data**

See healthcare providers as whole individuals — not just credentials.

AnalyticsIQ’s *Provider-as-a-Person Intelligence* data bridges the gap between healthcare provider identity and real-world consumer behavior.

<br/>By linking healthcare professional (HCP) profiles to rich consumer and lifestyle data, we empower more personalized, relevant engagement — across both personal and professional contexts.

## **Coverage and Scale:**

- 7 million healthcare professionals (physicians, NPs, PAs, pharmacists, dentists, and more)
- Linkage to consumer insights for 75%+ of identified HCPs
- Comprehensive data spanning professional, demographic, behavioral, and attitudinal attributes

## **Why it’s unique:**

- **Consumer + professional view:** The only solution that links HCP credentialed profiles with deep consumer insights.
- **Built for omni-channel:** Enables personalization across healthcare, DTC, and B2B2C strategies.
- **Driven by cognitive science:** Includes motivations, values, and media preferences to inform more human-centered HCP engagement.
- **Privacy-compliant:** Built with privacy and regulatory standards in mind.

## **Data Categories Include:**

- Professional details (HCP Type, specialty, NPI)
- Consumer demographics and lifestyle
- Financial and purchasing behaviors
- Motivations and attitudes (from proprietary cognitive modeling)
- Media consumption and engagement preferences
- Political and civic engagement
- Household and property insights

**Sample Fields:**

- Prescriber flag (y/n)
- HCP type (registered nurses, DO/MD, nurse practitioners and physician assistants)
- Gastroenterology
- Rheumatology
- Geriatric medicine
- Optometry

## **Common Use Cases:**

- Healthcare marketing and audience targeting
- Personalized engagement in both personal and professional channels
- Medical education and HCP outreach
- Pharma DTC and DTP (direct-to-patient/provider) strategies
- Advanced segmentation and analytics
- Data enrichment and identity graph enhancement

## **What sets it apart:**

- Purpose-built to bridge professional and personal identity
- Delivers unprecedented depth into *who providers are as people*
- Enhances marketing performance and patient-provider connection
- Built with proven AnalyticsIQ methodologies — cognitive psychology + advanced data science

**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.

原始信息汇总

HCP - Provider as a Person Intelligence 数据集概述

数据集描述

• 提供方: AnalyticsIQ
• 描述: 该数据集将医疗保健专业人员（HCP）的资质档案与丰富的消费者和生活方式数据相链接，提供更个性化、相关的跨个人和专业背景的互动支持。

覆盖范围与规模

• 覆盖范围: 美国所有州
• 规模:
  • 700万医疗保健专业人员（包括医生、护士、药剂师、牙医等）
  • 75%以上的已识别HCP与消费者洞察数据链接
  • 涵盖专业、人口统计、行为和态度属性

数据独特性

• 消费者+专业视图: 唯一将HCP资质档案与深度消费者洞察链接的解决方案
• 全渠道支持: 支持跨医疗保健、DTC和B2B2C策略的个性化
• 认知科学驱动: 包含动机、价值观和媒体偏好
• 隐私合规: 符合隐私和监管标准

数据类别

• 专业详情（HCP类型、专业、NPI）
• 消费者人口统计和生活方式
• 财务和购买行为
• 动机和态度（来自专有认知模型）
• 媒体消费和参与偏好
• 政治和公民参与
• 家庭和财产洞察

示例字段

• 处方者标志（是/否）
• HCP类型（注册护士、DO/MD、护士从业者和医师助理）
• 胃肠病学
• 风湿病学
• 老年医学
• 验光学

常见用例

• 医疗保健营销和受众定位
• 跨个人和专业渠道的个性化互动
• 医学教育和HCP外展
• 制药DTC和DTP策略
• 高级细分和分析
• 数据丰富和身份图谱增强

业务需求

• 受众激活: 跨渠道定位和现场销售支持
• 受众细分: 按生活方式、动机、媒体习惯和消费者行为细分
• 360度客户视图: DTC和DTP策略对齐
• 个性化客户体验: 跨专业和个人渠道的个性化互动

数据更新频率

• 季度更新

地理覆盖

• 美国（所有州）

云区域可用性

• AWS: 包括非洲（开普敦）、亚太（雅加达、孟买、大阪）等50多个地区

提供商信息

• 公司名称: AnalyticsIQ
• 成立时间: 2007年
• 总部: 亚特兰大
• 专长: 数据科学、认知心理学

搜集汇总

背景与挑战

背景概述

该数据集整合700万医疗专业人士的职业档案与消费者行为数据，覆盖75%以上从业者的多维度属性，包括专业背景、消费习惯、心理动机等，支持医疗营销与个性化服务。其独特性在于首次实现职业身份与生活画像的全面关联，采用认知科学建模确保数据深度。