Real-World Data (RWD) to Generate Real-World Evidence (RWE)
Data is the lifeblood of the research and development process and the use of real-world data (RWD) to generate real-world evidence (RWE) is becoming increasingly important.
In healthcare, RWD can come from various sources, including electronic health records, patient registries, prescriptions, laboratory, claims data, and patient-reported outcomes. RWD can be used for RWE, which is defined as the clinical evidence generated from the analysis of RWD.
RWD is often more representative of the “real world” than data from clinical trials, which are usually conducted in highly controlled settings. RWD can also be collected on a much larger scale than clinical trial data, allowing for more robust analyses.
This is why using RWD to generate RWE is becoming increasingly important as the healthcare landscape gravitates towards a more patient-centric approach. RWD can provide insights into the real-world effectiveness of treatments, as well as the safety and tolerability of medicines. In addition, RWD can help to identify and understand unmet needs and patient subgroups that may respond differently to treatments.
All of this information can contribute to developing real-world evidence (RWE), which can be used for informed healthcare decision-making. When used correctly, RWE can provide insights into the effectiveness of treatments, the safety of medicines, and the value of healthcare services.
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