Using Data to Design and Execute Studies to Support End-to-End Real-World Evidence Needs

According to the International Society for Pharmacoeconomics and Outcomes Research (ISPOR), real-world evidence (RWE) is the #1 trend in HEOR for 2020 and is playing an increasing role in health care decisions globally. Regulatory bodies such as the FDA and EMA have traditionally used RWE to monitor post-market safety and adverse events, but are now beginning to use RWE to make regulatory decisions. The healthcare community is using RWE increasingly to support coverage decisions and to develop guidelines and decision support tools for use in clinical practice.

Our Real-World Evidence and Data Analytics (RWE/DA) team leverages data from sources such as medical charts, administrative claims data, electronic health records, registries, and government databases to answer questions about disease epidemiology, burden, treatment patterns, comparative effectiveness, and costs. The studies may also be used to populate and validate economic models, support strategic value messages, and integrate patient-reported outcomes (PROs) with other sources of data as appropriate.

Our ‘data agnostic’ approach ensures that we will aim to find the best dataset to meet your research question. This, along with our strategic insights on study design and innovative analyses, provide tailored, fit-for-purpose insights that demonstrate the real-world value of healthcare innovations and interventions.

Types of Real-World Data

Primary Data

Data collected by the investigator themselves for a specific purpose

Prospectively collected clinical data either from patient charts, clinicians, caregivers, and/or the patients themselves

Data collected by a study investigator and other staff from a patient’s paper or electronic medical chart

Data collected directly from respondents (clinicians, patients, and/or caregivers)

Secondary Data

Data collected by someone else from some other purpose

Use of an existing registry for research purposes

Data downloaded from electronic billing records in structured fields

Data downloaded from electronic patient charts in structured fields, sometimes supplemented with curated free-text data

Why Us?

Our real-world data and analytics experts are actively involved in the field.  We have the experience needed to guide you to the right solutions and be a partner in support your research.

RWE/DA Projects
Claims Database Analyses
Government Database Analyses
Chart Reviews

Meet Our Real-World Evidence and Data Analytics Team

Real-World Evidence and Data Analytics Publications

Real‐World Treatment Patterns and Outcomes in Non‐Transplant Newly Diagnosed Multiple Myeloma in France, Germany, Italy, and the United Kingdom

Authors: M Mohty, W Knauf, D Romanus, S Corman, K Verleger, Y Kwon, D Cherepanov, MJ Cambron-Mellott, HG Vikis, F Gonzalez, F Gavini, K Ramasamy

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Real-world Treatment Patterns and Outcomes Using Terlipressin in 203 Patients With the Hepatorenal Syndrome

Authors: K Moore, K Jamil, K Verleger, L Luo, N Kebede, M Heisen, S Corman, R Leonardi, R Bakker, C Mai, N Shamseddine, X Huang, A Allegretti

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Recovery From Opioid Use Disorder (OUD) After Monthly Long-acting Buprenorphine Treatment 12-Month Longitudinal Outcomes from RECOVER, an Observational Study


Authors: W Ling, VR Nadipelli, MS Vijay, A Aldridge, NA Ronquest, C Solem, H Chilcoat, V Albright, C Johnson, S Learned, V Mehra, YC Yeh, SM Learned, C Heidbreder

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Please get in touch

To learn more about our Real-World Evidence and Data Analytics capabilities and discuss what we could do for you, please get in touch.

Shelby Corman

Real-World Evidence and Data Analytics Lead

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