Real-World Evidence Generation in Healthcare

Real-world evidence (RWE) has emerged as a vital complement to traditional randomised controlled trials by capturing the effectiveness and safety of interventions in routine clinical practice. Drawing on real-world data (RWD) sources such as electronic health records, insurance claims, patient registries and digital health platforms, RWE offers insights into long-term outcomes, rare adverse events and treatment patterns across diverse populations. Advances in data interoperability—through standards such as Fast Healthcare Interoperability Resources (FHIR) and emerging blockchain-based exchange protocols—have facilitated the linkage of disparate datasets while safeguarding patient privacy. Analytical innovations, including causal inference techniques and machine-learning algorithms, enable robust adjustment for confounding and the interrogation of large, complex datasets. Pragmatic clinical trials, which randomise within routine care settings, and the use of external control arms drawn from RWD have gained traction for regulatory submissions and comparative effectiveness studies. Globally, regulators and payers are increasingly receptive to RWE, recognising its capacity to inform label expansions, refine clinical guidelines and support health-economic evaluations. The integration of RWE into healthcare decision making promises more generalisable, patient-centred evidence and a more responsive evidence generation ecosystem, capable of addressing questions that lie beyond the scope of conventional trials.

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Real-World Evidence Generation in Healthcare publication trend

The graph below shows the total number of articles in real-world evidence generation in healthcare across all publications each year (not limited to Nature Index journals).

Technical terms

Real-world data (RWD): Information on patient health and care collected outside conventional trials, such as electronic health records, registries and claims databases.

Real-world evidence (RWE): Clinical evidence derived from analysis of RWD to inform healthcare decisions on effectiveness, safety and utilisation.

Pragmatic clinical trial: A study conducted in routine care settings that randomises participants under real-world conditions to evaluate interventions’ practical impact.

External control arm: A comparator group drawn from RWD sources rather than an internal concurrent control, used to support regulatory and clinical inferences when randomised controls are infeasible.

References

1. From randomised controlled trials to real-world data: Clinical evidence to guide management of diabetic macular oedema. Progress in Retinal and Eye Research (2023).
2. Real-world data: a brief review of the methods, applications, challenges and opportunities. BMC Medical Research Methodology (2022).
3. STaRT-RWE: structured template for planning and reporting on the implementation of real world evidence studies. The BMJ (2021).