Real-World Data Assessment & Integration
Identify, evaluate, and integrate the right data sources for your research objectives.
Finding the Right Data for the Right Question
Successful research begins with selecting appropriate data assets.
Data Sources
Administrative Claims
- Diagnoses
- Procedures
- Medications
- Healthcare utilization
- Costs
Electronic Health Records
- Clinical measurements
- Laboratory results
- Vital signs
- Treatment outcomes
Disease Registries
- Longitudinal outcomes
- Clinical characteristics
- Disease progression metrics
Services
- Data Feasibility Assessment
- Data Quality Evaluation
- Data Standardization
- Data Linkage
- Cohort Development
- Validation Studies
Whether you need support with evidence generation, epidemiology, outcomes research, health economics, or advanced analytics, York HEOR Group is ready to help.
Deliverables
- Feasibility Reports
- Data Dictionaries
- Integrated Analytical Datasets
- Data Quality Assessments
Related Services
Develop targeted evidence-generation plans that address critical business, regulatory, and clinical questions.
Conduct scientifically rigorous retrospective and prospective observational studies.
Deliver advanced statistical analysis and programming support using industry-leading methodologies and platforms.
Frequently Asked Questions
What is real-world data in healthcare?
It is information about patient health or care delivery collected routinely outside clinical trials, such as claims, electronic health records, registries, and linked datasets.
What is a data feasibility assessment?
It checks, before a study starts, whether a data source has the right patients, variables, follow-up, and sample size to answer the research question.
What are common real-world data sources?
Administrative claims, electronic health records, and disease registries. Linking them can combine their strengths in one analytical dataset.
What is real-world data analysis?
It turns routinely collected health data into answers to a research question, using study definitions and statistical methods that account for bias and confounding.
What is healthcare data integration?
It combines sources such as claims, health records, and registries into one consistent dataset by standardizing formats and codes, linking records, and checking quality.
Let's Discuss Your Research Goals
Schedule a Consultation Today and learn how York HEOR Group can transform your healthcare data into evidence-driven decisions.