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.
Meet Our Real-World Evidence and Data Analytics Team

Katharina Verleger
Real-World Evidence & Data Analytics; Patient-Centered Outcomes

Caitlyn Solem
Patient-Centered Outcomes; Real-World Evidence & Data Analytics

Namita Joshi
Real-World Evidence & Data Analytics; Patient-Centered Outcomes

Hrishikesh P. Kale
Real-World Evidence & Data Analytics; Patient-Centered Outcomes

Sophie Tsai
Patient-Centered Outcomes; Real-World Evidence & Data Analytics
