确定最佳网站和最合适的患者。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
找到您的学习的正确信息至关重要，但可能会压倒和繁琐。在整个临床发展途径中，通过在整个临床开发途径中实现无与伦比的临床数据，先进的分析和人类知识，使IQVIA更加容易。研究可以越早开始。药物可以更快地播放市场。安全可以牢固建立。虽然隐私受到保护。
Real World Data-on-Demand
真实世界的需求数据是一种新的灵活性，提供了对世界上最大的全球现实数据组合的简单，快速且经济高效的访问。
Try before you buy有能力快速评估数据适当性，以确保在购买之前回答您的问题。
临床Trial Optimization
Epidemiology Assessment
Monitoring of pathology evolution and therapeutic strategies
- Understand the disease
- 表征患者人口并确定伯群
- Natural history of the disease/treatment pathway
- 确定护理标准
- 确定未满足的需求
- 识别合适的本地比较器
- Patient flow analysis/patient journey
- Adherence studies
- 非标签使用
Drug Safety and Risk Management
分部，分析和评估真实世界环境中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世界的结果来证明医学的价值，以获得最佳定价，报销和覆盖潜力必威手机APP
- Cost of Illness/HCRU (Health Care Resource Utilization)
- Burden of Disease
- 预算影响
- 结果研究
- Comparative Effectiveness
- 合规和持久性
- Contract Optimization
商业分析
诊断，计划，预测和跟踪品牌绩效。从疾病和治疗模式视角表征目标市场的尺寸
- Brand/launch Planning & Strategy
- Market sizing Forecasting
- Brand Diagnostics
- Brand Performance tracking/Source of business
- 通过迹象分开
- 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提取复杂数据的可操作洞察力betway必威怎么提款
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的目的 - 建立的基础设施为RWD，部分是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.
我们的最新思想
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