Symplur: Real World Evidence

Real-world evidence (RWE) in healthcare refers to the data and information collected from patients and healthcare providers outside of traditional clinical trials. This can include data from electronic health records (EHRs), claims and billing data, patient-generated data, and observational studies. RWE can provide valuable insights into the effectiveness, safety, and real-world impact of medical treatments and interventions.

RWE has become increasingly important in healthcare as it can provide a more comprehensive understanding of how a treatment or intervention performs in a real-world setting, including in diverse patient populations and in routine clinical practice. This can be particularly important for rare diseases or conditions where traditional clinical trials may not have enough participants to provide robust evidence.

RWE can be used in several ways in healthcare, such as:

Drug development: RWE can be used to support the development of new drugs by providing data on the safety and effectiveness of a treatment in a real-world setting.

Clinical decision making: RWE can be used by healthcare providers to inform treatment decisions and improve patient outcomes by providing data on the effectiveness and safety of a treatment in a real-world setting.

Health technology assessment: RWE can be used to assess the value of health technologies, such as medical devices, by providing data on their performance and impact in a real-world setting.

Drug pricing and reimbursement: RWE can be used to inform the pricing and reimbursement of drugs by providing data on their effectiveness and cost-effectiveness in a real-world setting.

Population health management: RWE can be used to inform population health management by providing data on the health status, outcomes, and risk factors of a population in a real-world setting.

In summary, Real-world evidence (RWE) is a crucial tool in healthcare as it provides valuable insights into the effectiveness, safety, and real-world impact of medical treatments and interventions. It can be used in drug development, clinical decision making, health technology assessment, drug pricing and reimbursement, and population health management.