Founded in 2024, Lumina RWE was established to meet the growing demand for scientifically rigorous real-world evidence in healthcare technology. From the beginning, we have focused on bridging the gap between controlled clinical trials and the realities of clinical practice. Our...
Lumina RWE provides tailored evidence solutions for the biopharmaceutical and medical device industries, supporting clients at every stage of the post-market life cycle. From study design and regulatory-ready RWE submissions to health economics, outcomes research, and post-market safety ...
The Twenty-First Century Cures Act, enacted in 2016, was designed to accelerate medical innovation and improve patient access to safe and effective devices. A key aspect of the Act is its emphasis on using real-world evidence (RWE) to support regulatory decisions, which has paved the way for broader adoption of RWCD in medical device approvals.
The Act encourages the use of RWE for demonstrating device safety and efficacy, streamlines clinical trial designs by incorporating real-world data, and enhances patient engagement through the integration of PROs and other RWCD sources. The Act requires the FDA to evaluate how RWE can be used to support new indications for approved devices and meet requirements for post market surveillance and ongoing safety monitoring.
RWCD refers to data collected during routine healthcare delivery, rather than in controlled clinical trial settings. Common sources include electronic health records (EHRs), claims and billing data, patient registries, wearable devices, mobile health applications, and patient-reported outcomes (PROs). Social determinants of health (SDOH) data can also be a source.
RWCD provides insights into device performance across diverse populations and real-world conditions, addressing many limitations of traditional clinical trials. It offers a more comprehensive, actionable, and timely understanding of clinical practices and outcomes.
Real-world evidence is evidence regarding the usage and potential benefits or risks of a medical product derived from an analysis of RWCD.
The FDA employs two primary pathways for medical device approvals: Premarket Approval (PMA) for Class III devices and 510(k) Clearance for Class II devices.
PMA is the most stringent pathway, required for Class III devices. PMA submissions must include robust clinical data proving the device’s safety and efficacy.
This pathway is for Class II devices, allowing manufacturers to demonstrate that their device is substantially equivalent to an already marketed predicate device.
RWCD can complement or, in some cases, substitute traditional clinical trial data by increasing representativeness, providing longitudinal data, and enhancing efficiency. Case studies show RWCD being used to secure PMA approval by demonstrating superior outcomes in a real-world setting and to validate safety and performance, supplementing limited RCT evidence.
RWCD can demonstrate real-world performance parity with the predicate device, highlight unique benefits such as improved usability or durability, and address FDA concerns about specific patient populations or use cases. Case studies show RWCD being used to demonstrate equivalent diagnostic accuracy and to validate usability and safety.
In addition to premarket submissions, the FDA mandates post market surveillance studies under Section 522 of the FDCA for certain devices to monitor long-term safety and effectiveness.
RWCD enables manufacturers to monitor rare adverse events using large-scale datasets, evaluate long-term performance and safety, and identify off-label use patterns and associated risks. RWCD can be used to detect late-stage complications and to monitor pediatric outcomes, satisfying Section 522 requirements.
RWCD refers to data collected during routine healthcare delivery, rather than in controlled clinical trial settings. Common sources include electronic health records (EHRs), claims and billing data, patient registries, wearable devices, mobile health applications, and patient-reported outcomes (PROs). Social determinants of health (SDOH) data can also be a source.
RWCD provides insights into device performance across diverse populations and real-world conditions, addressing many limitations of traditional clinical trials. It offers a more comprehensive, actionable, and timely understanding of clinical practices and outcomes.
Real-world evidence is evidence regarding the usage and potential benefits or risks of a medical product derived from an analysis of RWCD.
RWCD refers to data collected during routine healthcare delivery, rather than in controlled clinical trial settings. Common sources include electronic health records (EHRs), claims and billing data, patient registries, wearable devices, mobile health applications, and patient-reported outcomes (PROs). Social determinants of health (SDOH) data can also be a source.
RWCD provides insights into device performance across diverse populations and real-world conditions, addressing many limitations of traditional clinical trials. It offers a more comprehensive, actionable, and timely understanding of clinical practices and outcomes.
Real-world evidence is evidence regarding the usage and potential benefits or risks of a medical product derived from an analysis of RWCD.
RWCD refers to data collected during routine healthcare delivery, rather than in controlled clinical trial settings. Common sources include electronic health records (EHRs), claims and billing data, patient registries, wearable devices, mobile health applications, and patient-reported outcomes (PROs). Social determinants of health (SDOH) data can also be a source.
RWCD provides insights into device performance across diverse populations and real-world conditions, addressing many limitations of traditional clinical trials. It offers a more comprehensive, actionable, and timely understanding of clinical practices and outcomes.
Real-world evidence is evidence regarding the usage and potential benefits or risks of a medical product derived from an analysis of RWCD.
RWCD refers to data collected during routine healthcare delivery, rather than in controlled clinical trial settings. Common sources include electronic health records (EHRs), claims and billing data, patient registries, wearable devices, mobile health applications, and patient-reported outcomes (PROs). Social determinants of health (SDOH) data can also be a source.
RWCD provides insights into device performance across diverse populations and real-world conditions, addressing many limitations of traditional clinical trials. It offers a more comprehensive, actionable, and timely understanding of clinical practices and outcomes.
Real-world evidence is evidence regarding the usage and potential benefits or risks of a medical product derived from an analysis of RWCD.
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Driving scalable evidence generation with trusted technology and real-world data
Real-world evidence, expertly delivered
“LuminaRWE is well positioned to make a significant contribution to the studies and projects that we are leading, and as such, will help us raise awareness amongst regulatory agencies, HTA bodies, and payers about the increasingly important role real-world evidence is playing in healthcare decision-making.”
Our data-agnostic platform powers evidence generation across data sources and formats.
Our data-agnostic platform powers evidence generation across data sources and formats.
Our data-agnostic platform powers evidence generation across data sources and formats.