Get the data, technology, and services you need to succeed, precisely when you need them with our flexible pricing plans. With our pay-per-use model, you can scale up or down to meet the changing demands of your therapeutic area projects. Benefit from economies of scale and volume discounts by choosing the tier that best fits your needs.

Spend less time on data access and more time ensuring the reliability and robustness of your analysis by leveraging the largest Real World Data portfolio available through a single vendor, providing insights from over 1.2 billion unique non identified patient records across our global network of over 150 databases across 21 countries (many exclusively licensed thru IQVIA).

Enhance data-driven decision-making with instant access to pre-built analytics and the ability to swiftly export patient-level data for custom analysis.

using our intuitive tools and services that quickly adapt to your way of working. Our innovative cohort-driven approach is designed to meet a wide array of research needs, whether you prefer expert support, a no-code interface, or coding yourself, we support all levels of analysis expertise.

Say goodbye to tedious manual cohort building and hello to faster, more accurate results with our new AI-powered cohort builder. Our advanced search now provides associated diagnoses, therapies, and procedures suggestions, so you can improve definitions and criteria for building cohorts and get patient counts in a fraction of the time and with greater precision.

to analytical-ready global data from the world's largest portfolio of Real World Data.

Trust us as your partner; with our flexible approach you can leverage our experts' specialized knowledge to design and deliver robust and rapid studies that address complex research questions and help you achieve better outcomes.

How can I quickly identify and learn about the best data assets to use?

How can I identify new data and new opportunities to use Real World Data?

How can I spot Real World Data gaps early so I can adapt my Real World Evidence project design?

How can I access publications to better understand how data can be used?

Which medical data assets have been leveraged for regulatory purposes?

How can I easily compare my data sources with external datasets while guaranteeing confidentiality?

How can I quickly identify and learn about the best data assets to use?

How can I identify new data and new opportunities to use Real World Data?

How can I access publications to better understand how data can be used?

Which medical data assets have been leveraged for regulatory purposes?

• How can I explore, model and consume insights across RWD?
• How can I learn about possible health outcomes for specific patient populations?
• How can I explore how many patients in a certain geographical area have been diagnosed with a specific disease or condition?
• How can I view the demographics of patients who have been prescribed a particular medication?
• How can I establish how patients in a particular population have received a certain vaccine or immunization?
• How can I explore how many patients have had a particular lab test being ordered for a certain medical condition?

• How can I explore, model and consume insights across RWD?
• How can I learn about possible health outcomes for specific patient populations?
• How can I explore how many patients in a certain geographical area have been diagnosed with a specific disease or condition?
• How can I view the demographics of patients who have been prescribed a particular medication?
• How can I establish how patients in a particular population have received a certain vaccine or immunization?
• How can I explore how many patients have had a particular lab test being ordered for a certain medical condition?

How can I access managed IQVIA datasets quickly, then analyse and build patient populations?

How can load additional datasets quickly, then analyse and build patient populations?

How can I build analytic ready Feature Files, compatible with scientific method analysis?

How can I run rapid sophisticated patient cohort building to generate exportable data for further analysis?

How can I use your integrated safe rooms to conduct secure and private research? How can I use your integrated safe rooms to conduct secure and private research?

How can I access managed IQVIA datasets quickly, then analyse and build patient populations?

How can load additional datasets quickly, then analyse and build patient populations?

How can I build analytic ready Feature Files, compatible with scientific method analysis?

How can I run rapid sophisticated patient cohort building to generate exportable data for further analysis?

How can I access my exported data directly from my companies existing analytics tools?

How can I conduct research across multiple data assets and multi data types? How can I explore insights across RWD?

Is there a faster and more cost-effective way to generate evidence at scale?

How can I analyze the burden of disease?

Better understand the underlying biology of diseases and develop targeted interventions that are tailored to individual patients' needs?

How can I explore insights across RWD?

What are the most common comorbidities among patients with a particular disease, and how do they impact treatment outcomes?

What is the prevalence of a particular disease, and how does it vary by demographic factors such as age, gender, or race/ethnicity?

What are the risk factors for a particular disease, and how can they be used to identify patients who are at higher risk of developing the disease?

What are the factors that influence patient adherence to medications or treatment plans, and how can interventions be designed to improve adherence and patient outcomes?

What is the impact of a specific intervention or policy change on patient outcomes and healthcare costs?

What is the effectiveness of different treatments for a particular disease, and how do they compare in terms of patient outcomes and cost?

What is the cost of care for patients with a particular disease, and how does it vary by type of treatment or severity of illness?

What are the patterns of healthcare utilization among patients with a particular disease, and are there opportunities to reduce costs by optimizing care delivery?

How can I easily determine the prevalence of a particular risk factor for a certain medical condition in a specific population?

How can I conduct research across multiple data assets and multi data types? How can I explore insights across RWD?

Is there a faster and more cost-effective way to generate evidence at scale?

How can I analyze the burden of disease?

How can I explore insights across RWD?

• What are the most common comorbidities among patients with a particular disease, and how do they impact treatment outcomes?
• What is the prevalence of a particular disease, and how does it vary by demographic factors such as age, gender, or race/ethnicity?
• What are the risk factors for a particular disease, and how can they be used to identify patients who are at higher risk of developing the disease?
• What are the factors that influence patient adherence to medications or treatment plans, and how can interventions be designed to improve adherence and patient outcomes?
• What is the impact of a specific intervention or policy change on patient outcomes and healthcare costs?
• What is the effectiveness of different treatments for a particular disease, and how do they compare in terms of patient outcomes and cost?
• What is the cost of care for patients with a particular disease, and how does it vary by type of treatment or severity of illness?
• What are the patterns of healthcare utilization among patients with a particular disease, and are there opportunities to reduce costs by optimizing care delivery?
• How can I easily determine the prevalence of a particular risk factor for a certain medical condition in a specific population?

• How can I conduct research across multiple data assets and multi data types?
• How can I explore insights across RWD?
• Is there a faster and more cost-effective way to generate evidence at scale?
• What are the most common comorbidities among patients with a particular disease, and how do they impact treatment outcomes?
• What is the prevalence of a particular disease, and how does it vary by demographic factors such as age, gender, or ethnicity?
• What are the risk factors for a particular disease, and how can they be used to identify patients who are at higher risk of developing the disease?
• What are the factors that influence patient adherence to medications, and how can interventions be designed to improve adherence?
• What are the patterns of healthcare utilization among patients with a particular disease?