识别最佳场所和最合适的患者。支持协议设计。
- 协议设计和可行性
- On-going protocol adjustment
- Leverage RWD for study comparative arm
- Optimize country Allocation
- Site & patient selection
欧洲，中东和非洲
Harness the power of Real World Data
找到适合您学习的信息至关重要，但可能是压倒性和乏味的。IQVIA通过在整个临床开发途径中带来了无与伦比的临床数据，高级分析和人类知识的组合，从而使它变得更加容易。研究可以更快地开始。药物可以更快地推向市场。安全可以牢固确定。在保护隐私的同时。
Real World Data-on-Demand
现实世界中的数据按需是一种新的灵活性，可轻松，快速和成本效益，访问世界上最大的全球现实世界数据组合。
Try before you buy有能力快速评估数据适当性，以确保在购买前回答您的问题。
临床Trial Optimization
Epidemiology Assessment
Monitoring of pathology evolution and therapeutic strategies
- Understand the disease
- 表征患者人群并确定感兴趣的亚组
- Natural history of the disease/treatment pathway
- 确定护理标准
- 确定未满足的需求
- 确定合适的本地比较器
- Patient flow analysis/patient journey
- Adherence studies
- 标签不使用
Drug Safety and Risk Management
在现实环境中，细分，分析和评估治疗干预的安全性和风险/益处
- 信号检测 /评估
- Safety Surveillance
- Risk Assessment
- PASS (Post Authorization Safety Study)
- DUS (Drug Utilization Study)
HEOR Market Access
通过基于证据的健康经济评估和现实成果来证明医学的价值，以获得最佳定价，报销和覆盖潜力lol买外围用什么软件
- Cost of Illness/HCRU (Health Care Resource Utilization)
- Burden of Disease
- 预算影响
- 结果研究
- Comparative Effectiveness
- 合规性和持久性
- Contract Optimization
商业分析
诊断，计划，预测和跟踪品牌绩效。从疾病和治疗模式的角度来看目标市场的大小和特征
- Brand/launch Planning & Strategy
- Market sizing Forecasting
- Brand Diagnostics
- Brand Performance tracking/Source of business
- 通过指示分开
- Contract Compliance
RWD can be leveraged to generate insights throughout the product lifecycle
Real World Data can be used for many different objectives across the drug development lifecycle from development to after commercialisation. This data may be of relevance to optimize clinical trials via more efficient site and patients identification, to understand the disease landscape, to enrich context for market access, to follow-up long term safety and drug utilization patterns, and support commercial analytics.
一个数据源可能无法完全回答问题，因此可能需要设想数据资产的组合或丰富。
自动化数据转换以快速从复杂数据中提取可操作的见解王者荣耀kpl外围投注
Most Real World Data is generated for administrative purposes, thus in order to make it fit for analytical research, its critical to ingest, standardize and link the disparate data sets to create insightful, analytical output. The challenge is that currently data and analytics teams spend 80% of their time preparing data and only 20% using it.IQVIA的RWD专用基础设施，Human Data Science Cloud, lever dedicated applications with embedded intelligence automate processes to improve the quality, consistency and compliance of your data. Empowering you to concentrate on interpreting insights, making better decisions and delivering more value.
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