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EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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Driving Obesity Research with Real-World Data
Jan 09, 2025
Unveiling the Power of OMOP in Obesity Research
The IQVIA OMOP team is at the forefront of leveraging real-world data (RWD) to advance obesity research. By harnessing the power of the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), this team is revolutionizing our understanding of obesity trends, treatment effectiveness, and patient outcomes.
What is OMOP and Why Does It Matter?
The OMOP CDM is a standardized framework that enables the integration and analysis of diverse healthcare data sources, such as electronic health records (EHRs), claims data, and clinical trial data. By transforming complex data into a uniform format, OMOP empowers researchers to conduct large-scale, real-world studies with unprecedented efficiency and accuracy.
IQVIA OMOP Team's Impact on Obesity Research
The IQVIA OMOP team is actively involved in several key areas of obesity research, including:
- Epidemiology and Prevalence Studies:
- Analyzing large-scale RWD to track obesity trends over time and across different populations.
- Identifying risk factors and comorbidities associated with obesity.
- Treatment Effectiveness and Safety Studies:
- Evaluating the real-world effectiveness and safety of various obesity treatments, including medications, surgical interventions, and lifestyle modifications.
- Assessing treatment adherence and persistence.
- Patient Outcomes Research:
- Measuring the long-term impact of obesity on quality of life, healthcare utilization, and mortality.
- Identifying disparities in obesity care and outcomes.
The Benefits of Using OMOP for Obesity Research
- Real-World Evidence: OMOP enables researchers to leverage RWD, which provides a more realistic picture of how treatments work in routine clinical practice.
- Large-Scale Studies: By standardizing data, OMOP facilitates the analysis of large, diverse datasets, increasing statistical power and generalizability of findings.
- Rapid Insights: OMOP-based analyses can be conducted quickly, allowing for timely decision-making and the identification of emerging trends.
- Collaborative Research: The OMOP CDM fosters collaboration among researchers by providing a common language and framework for data sharing and analysis.
The IQVIA OMOP team is at the forefront of using RWD to address the global obesity epidemic. By leveraging the power of OMOP, this team is driving innovation in obesity research, leading to better understanding, improved treatments, and ultimately, better patient outcomes.
Read more here.