IQVIA Data-as-a-Service
收藏Snowflake2021-01-11 更新2024-11-12 收录
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PLEASE NOTE: Data availability in Snowflake is determined by your organization’s or customer’s data subscriptions with IQVIA. The licensing of these data assets are subject to local privacy laws, authorizations, and restrictions which may vary by country.
IQVIA is a leading global provider of advanced analytics, technology solutions and contract research services to the life sciences industry. Formed through the merger of IMS Health and Quintiles, IQVIA applies human data science – leveraging the analytic rigor and clarity of data science to the ever-expanding scope of human science – to enable companies to reimagine and develop new approaches to clinical development and commercialization, speed innovation, and accelerate improvements in healthcare outcomes. IQVIA has the largest global healthcare data networks in the world, with over 1 million data sources providing access to 800M+ non-identified patient records and 95B+ healthcare records processed annually in over 100 countries. IQVIA delivers unique and actionable insights at the intersection of large-scale analytics, transformative technology and extensive domain expertise, and execution capabilities.
IQVIA customers are often challenged with centralized provisioning of their global data deliverables and aligning them into a common structure for cross-functional analytics. Enabled by the IQVIA Human Data Science Cloud, IQVIA’s Data-as-a-Service (DaaS) offering provides a centralized hosting and data management solution to source, standardize, integrate and access IQVIA data– enabling you to gain more use and value from your global data assets. Beyond just data provisioning, IQVIA data can be standardized and integrated via IQVIA’s Global Data Model (GDM). The IQVIA Global Data Model (GDM) is the most comprehensive health data standard, providing a robust data model and the necessary information to be used as a health data exchange specification. It provides a single integrated definition of data and structures, unbiased of any system or perspective. Using a common language and framework for integration, it increases data consistency and increases coherence across systems. The GDM provides a framework for data enrichment and is continuously evolving to align with industry changes.
IQVIA data products available via Data-as-a-Service on Snowflake include but are not limited to:
-OneKey: OneKey is a reference data asset that provides a complete and integrated view of the evolving environment by linking prescribers and their many locations to their affiliates with group practices, hospitals, clinics and other healthcare provider organizations, with insights into 680K organizations and 9M+ professionals. Please see the usage examples below for a sample of fields provided.
-Xponent: A suite of sub-national reporting providing granular prescription performance aligned to help manage customer operations, sales targeting, and representative incentive compensation
-DDD: For over 40 years, DDD has been providing pharmaceutical manufacturers with insight into which non-retail outlets are purchasing their and their competitors’ products and how sales change over time. DDD provides zip-code and account-level sales of prescription products sold into retail, non-retail and mail channels.
-APLD: APLD is IQVIA’s Anonymized Patient Level Data – the lowest level of granularity of transactional patient data containing longitudinal prescription (LRx) and medical claims (Dx) data.
-LAAD: LAAD is an all-inclusive master patient centric dataset, which integrates Longitudinal Prescriptions (LRx), Lifecycle (FIA) and Professional Medical (Dx) transaction claims with the option to also include Institutional Medical (Hx) and Remittance claims. LAAD not only integrates the datasets, LAAD claims are cleansed and business logic is applied. Primary and Secondary payer information and copays are integrated into LAAD as well.
-National Sales Data: Continuous country level market surveys that measure sales of registered medicines either into or out of retail pharmacies, hospitals, or other dispensing channels.
-National Prescription Data: Continuous country level market survey that measures sales of registered medicines against a prescription from retail pharmacies to consumers, based on a representative pharmacy sample. Unlike sales audits, includes information on number of prescriptions and prescribing activity by doctor speciality.
-Sub-National Sales Data: Continuous Information regarding sales of registered drugs either into or out of retail pharmacies or hospitals, and reported in detailed geographic territories, or bricks, enabling more granular understanding of volume of sales per territory.
-Sub-National Prescription Data: Continuous market survey that measures prescriptions of registered medicines dispensed from retail pharmacies, and reported in detailed geographic territories, or bricks, and in some markets with the ability to link the data back to the origin of the prescription and doctor specialty.
-Channel Dynamics: Continuous information service providing key metrics and benchmark insights into competitive sales force and marketing channel activity of the pharma industry, based on a proprietary online daily diary survey of over 30,000 HCPs across 30+ countries, capturing their exposure to life-science communication channels, the resulting data are processed and projected to show both promotional contact volume and investment by channel at company and brand level.
-LRx: Longitudinal patient-level prescription data at national and subnational level sourced from computerized dispensed prescription records at the anonymized patient level collected from retail pharmacies.
Benefits customers see are:
-Reduced delivery time and enabled quicker access to standardized data
-A single data repository for IQVIA data across client user groups
-Reduced client cost and overhead in centralizing global data assets
请注意:Snowflake中的数据可用性由您所在组织或客户与IQVIA签订的数据订阅协议决定。此类数据资产的许可需遵守各地隐私法律、授权条款及限制要求,具体规定可能因国家/地区而异。
IQVIA是全球领先的生命科学行业高级分析、技术解决方案及合同研究服务提供商。公司由IMS Health与Quintiles合并而成,依托人类数据科学——将数据分析的严谨性与清晰性应用于不断拓展的人类科学领域——助力企业重新构想并开发临床开发与商业化的全新路径,加速创新进程,推动医疗健康结局改善。IQVIA拥有全球规模最大的医疗健康数据网络,在全球100余个国家拥有超100万个数据源,可访问超8亿条未识别患者记录,年处理医疗健康记录超950亿条。IQVIA依托大规模分析、变革性技术与深厚的领域专业知识及执行能力,提供独特且可落地的洞察。
IQVIA的客户常面临全球数据交付的集中化配置难题,且需将数据整合为统一结构以支持跨职能分析。依托IQVIA人类数据科学云(IQVIA Human Data Science Cloud),IQVIA的数据即服务(Data-as-a-Service, DaaS)产品提供集中化托管与数据管理解决方案,可实现IQVIA数据的采集、标准化、集成与访问,助力客户从全球数据资产中获取更多价值与应用场景。除单纯的数据交付外,IQVIA数据还可通过IQVIA全球数据模型(Global Data Model, GDM)实现标准化与集成。IQVIA全球数据模型是目前最全面的健康数据标准,提供了完善的数据模型及必要的信息作为健康数据交换规范。它定义了统一的集成化数据与结构,不受任何系统或视角的偏倚影响。通过采用统一的语言与框架进行集成,该模型可提升系统间的数据一致性与连贯性。GDM还为数据富集提供了框架,并将持续迭代以契合行业变化。
可通过Snowflake上的数据即服务获取的IQVIA数据产品包括但不限于:
- OneKey:OneKey是一款参考数据资产,通过将处方医生及其多个执业地点与其所属的集团诊所、医院、诊所及其他医疗保健机构关联,提供不断演进的行业环境的完整集成视图,可覆盖68万家机构与超900万名专业人员。相关字段示例详见下文使用案例。
- Xponent:一套次国家级报告套件,提供精细化的处方表现数据,助力客户优化运营、销售目标设定及销售代表激励薪酬管理。
- DDD:四十余年来,DDD一直为制药厂商提供洞察,帮助其了解哪些非零售渠道正在采购其自身及竞品的产品,以及销售额随时间的变化情况。DDD可提供按邮政编码与账户维度统计的、销往零售、非零售及邮购渠道的处方药销售数据。
- APLD:APLD即IQVIA匿名患者级数据(Anonymized Patient Level Data),是事务性患者数据的最细粒度层级,包含纵向处方(Longitudinal Prescription, LRx)与医疗索赔(Diagnosis, Dx)数据。
- LAAD:LAAD是一套全面的以患者为中心的主数据集,集成了纵向处方(LRx)、生命周期(FIA)与专业医疗(Dx)事务索赔数据,还可选择纳入机构医疗(Hx)与汇款索赔数据。LAAD不仅实现了数据集的集成,还对数据进行了清洗并应用了业务逻辑。此外,一级与二级付款方信息及自付费用也已集成至LAAD中。
- 国家销售数据:持续开展的国家级市场调研,用于衡量注册药品销往或流出零售药房、医院或其他配药渠道的销售情况。
- 国家处方数据:持续开展的国家级市场调研,基于具有代表性的药房样本,衡量从零售药房流向消费者的注册药品的处方销售情况。与销售审计不同,该数据包含处方数量及按医生专科分类的处方活动信息。
- 次国家级销售数据:持续的信息服务,提供注册药品销往或流出零售药房或医院的销售情况,数据按精细化地理区域或实体门店进行上报,可更精准地了解各区域的销售体量。
- 次国家级处方数据:持续的市场调研,衡量从零售药房配出的注册药品的处方情况,数据按精细化地理区域或实体门店进行上报,在部分市场中还可将数据追溯至处方来源与医生专科。
- 渠道动态:持续的信息服务,基于覆盖30余个国家、超3万名医护人员(Healthcare Professionals, HCPs)的专有在线每日日记调研,提供医药行业竞争性销售团队与营销渠道活动的关键指标及基准洞察,捕捉医护人员对生命科学传播渠道的接触情况。经处理与推算后的结果可展示各公司与品牌在各渠道的推广接触量与投入情况。
- LRx:纵向患者级处方数据,涵盖国家级与次国家级层级,数据源自从零售药房采集的匿名患者计算机化配药记录。
客户可获得的收益包括:
- 缩短交付周期,实现标准化数据的快速访问
- 为客户用户群体提供统一的IQVIA数据存储库
- 降低客户集中化管理全球数据资产的成本与管理开销
提供机构:
IQVIA创建时间:
2020-11-10
搜集汇总
数据集介绍

背景与挑战
背景概述
IQVIA通过Data-as-a-Service提供全球医疗数据订阅服务,包含OneKey、Xponent等十余种标准化数据产品,采用Global Data Model实现数据整合。该服务帮助客户快速获取标准化数据,降低运营成本并建立统一数据仓库。
以上内容由遇见数据集搜集并总结生成



