RWE & Medical Affairs Population & Treatment Profiling

Understand unmet needs

IQVIA has a set of powerful tools to help Medical Affairs teams quickly develop and share insights, and lead important conversations about patient care and treatment effectiveness.

Population Characterization is a powerful tool that helps RWE & Medical Affairs teams develop a sound medical strategy based on a deep understanding of specific disease areas and unmet needs, leading to improved patient care.

Treatment Characterization is ideal for mapping pathway journeys across complex cohorts. Leveraging the OMOP common data model you can harmonize disparate data formats and content from different countries, healthcare settings and data capture modalities.

Contact us to see how you can quickly get the answers you need. 

POPULATION CHARACTERIZATION​

Explore patient populations. Find new intervention points.

Population Characterization provides deep insights into the eligible patient population for specific diseases. The app enables Medical Affairs teams to explore patient dynamics and identify new intervention points to improve patient care.

With Population Characterization, you access up-to-date data that helps you analyze the treatment landscape for a specific disease area. You can also identify the unmet needs of patients and healthcare providers, so you can address their needs through scientific and medical initiatives.

 

POPULATION CHARACTERIZATION​

Gain a data-driven understanding of the patient population for your specific disease area.

Comprehensive Disease Insights

Gain a deeper understanding of the current treatment landscape, key trends, and influential drivers within a specific disease area.

Understand unmet needs

Assess treatment experience to enable more agile HCP engagement and patient care.

Data-driven approach

Advanced analytics enable a data-driven approach to understanding patient dynamics and treatment decisions for more informed decisions and internal buy-in.

Improved Patient Care

Better understand the unmet needs of patients and healthcare providers in a specific disease area and address these needs through scientific and medical initiatives.

TREATMENT CHARACTERIZATION

Simplified multi-database research: removing data access barriers 

Treatment Characterization is perfect for mapping pathway journeys leveraging multiple parallel, related complex cohorts.

With IQVIA’s efficient solution, our experts can write one query for multiple databases to gain rapid access to data by leveraging the OMOP Common Data Model (CDM) and methodology to harmonize disparate data formats and content from different countries, healthcare settings and data capture modalities. As well as enhancing reliability and reproducibility by using standardized analytical packages and validated phenotypes.

 

TREATMENT CHARACTERIZATION

Reproducibility, efficiency, reliability and ​ reduced cost of ownership

Reliability & Reproducibility

The OMOP Common Data Model (CDM) harmonizes disparate data formats and content from different countries, healthcare settings and data capture modalities.

Gain Efficiency

Standardization enables reusable analytics packages across multiple OMOP CDM databases.

Access commercially unavailable global data

The federated network enables central planning and remote execution of analyses, saving time and costs in analysis while granting access to globally unavailable data.

Reduce cost of ownership

Reduce multi-database research barriers by executing analytics within data partner institutions, eliminating patient-level data access and concerns around data governance, privacy laws, and firewalls.

VISIT OUR RWE & MEDICAL AFFAIRS
KNOWLEDGE HUB
Want to see how IQVIA’s solutions can help you have more effective engagements with Healthcare professionals?

Visit our free knowledge hub with actual IQVIA client cases studies, in depth webinar replays, podcast episodes, blog articles, and other demonstrations of the effectiveness of IQVIA’s Real World Data and technology solutions for developing insights and revealing effective treatment pathways.

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