Real-World Data (RWD): Definition, Sources & Uses | Allucent
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What are Real-World Data and How Can they Benefit Drug Development?

What are Real-World Data and How Can they Benefit Drug Development?
Overview
Real-world data (RWD) is health data that is not collected in traditional clinical trials. Examples include electronic health records, registries, and claims data. This page talks about what RWD is, how it is used to make drugs, and how it helps make decisions about regulations and gather real-world evidence.

Real-world data (RWD) are data that come from sources other than traditional clinical trials and are becoming increasingly important to today’s healthcare decisions. Historically, drug developers have been limited to prospective randomized clinical trials as their primary avenue for achieving product approval. Recent technological advances and regulatory expansions, however, have broadened the possibilities available to clinical researchers by enabling the use of real-world data and the evidence that derives from their analysis, which is known as real-world evidence (RWE).

What Is Real-World Data (RWD)?

Randomized clinical trials (RCTs) take place in controlled settings and seek to answer narrowly framed questions for selected populations. RCTs are typically the most expeditious pathway for gaining regulatory approval. The data they produce, however, often fall short of informing clinical implementation in a real-world environment. As such, regulatory bodies and healthcare providers often rely on post-marketing studies to guide clinical use. By contrast, RWD are collected outside of the context of RCTs and as a routine function of modern healthcare. For example, RWD may come in the form of:

  • Electronic health records (EHRs)
  • Insurance billing and claims
  • Disease or medication/device registries
  • Patient-reported outcomes
  • Biometric monitoring devices (such as phones and watches)

Using these sources of data, therapies can be evaluated under real-world conditions in a broader population and at a much lower cost than is possible with typical RCTs.

Considerations for Real-World Evidence

The FDA and other regulatory bodies consider the totality of evidence when evaluating the safety and efficacy of new therapies. As such, the FDA is developing a framework for evaluating the use of real-world evidence to help support approval of new indications for previously approved therapies and to help satisfy post-marketing study requirements. The Agency recognizes that the use of EHRs, mobile health technology, and other electronic data-capture technology, together with new trial and study designs using RWD, has the potential to streamline and improve the efficiency of clinical studies. Therefore, they have issued formal guidance on the use of electronic data in clinical investigations and are developing documents to standardize the data used in RWD studies.

Rethinking Study Designs

Biometric Monitoring Devices

One of the most exciting aspects of RWD studies involves the increasing ubiquity of biometric monitoring devices in the form of smart phones, watches, and other wearable technology. The ability of these devices to collect objective biological data such as heart rate, blood pressure, electrocardiography, mobility, and sleep patterns, has the potential to revolutionize clinical trials. In typical RCTs, these parameters are recorded in a controlled environment at discrete time points. Using biometric monitoring devices would allow for collection of these parameters continuously and remotely, making the data much more indicative of a therapy’s effectiveness.

Conclusions

Using real-world data can help ensure that patients and providers are better informed, leading to quicker and more definitive incorporation of safe and effective therapies into clinical practice guidelines. Contact Allucent today for help with the design and analysis of your RWD studies.

References and Related Resources

FAQs

Real-world data is health information that comes from everyday clinical practice instead of controlled clinical trials. It includes things like electronic health records, patient registries, insurance claims, data from wearable devices, and outcomes reported by patients.
Clinical trial data is collected in controlled settings with strict rules, while real-world data shows how treatments work in regular clinical settings. Real-world data (RWD) gives us a bigger picture of patients, including their long-term outcomes, treatment patterns, and how well treatments work in real life.
Real-world data helps make trials better, find the right patients, and support studies that happen after a drug is approved. It can shorten the time it takes to develop drugs, improve safety monitoring, and show how well treatments work in a wide range of real-world patient groups.
Real-world evidence is clinical evidence that comes from looking at data from the real world. It shows how a drug works outside of controlled trial settings, which helps with regulatory submissions, label expansions, and making healthcare decisions.
Regulatory agencies use real-world data to help them make decisions about safety, post-marketing surveillance, and some approvals. RWD can add to clinical trial data and make regulatory submissions stronger if it is designed and analyzed correctly.

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