Real World Data
Optimising the use of real world data to drive effective outcomes
Real world evidence (RWE) continues to drive healthcare and research discussions and decisions. ICON delivers Real World Intelligence®, bringing together innovative thinking and technology solutions to identify, generate, and communicate the clinical, safety and cost-effectiveness evidence that regulators, payers and providers demand.
Generate RWE using cross sectional studies and medical chart reviews
Download our white paper, Real World Evidence Generation: The Value of Cross-Sectional Studies and Medical Chart Reviews to learn how this hybrid approach to study design can be advantageous for generating real world evidence. Get insights on the issues you need to consider to ensure that your study is planned to produce robust scientific data that can be extrapolated beyond the study population.
Real World Data blogs and media contributions
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Media article: Innovation and flexibility in long-term follow-up studies
Read insights from Harpreet Gill VP, Real World Solutions, on how sponsors can optimise their LTFU studies to be flexible and cost-effective, with strategic planning and innovation, overcoming challenges while capturing valuable data insights.
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Media article: The future of RWD and RWE in healthcare decision-making: Applications of novel real-world data collection methods for healthcare decision-making
Read insights from Jennifer Eriksson, Divisional Principal, on the use of real-world evidence and real-world data to inform healthcare decision-making and provide patients with rapid access to innovative healthcare technology.
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Blog: SDoH data analysis for proactive outcome improvement: A multilayered approach
SDoH affect patients in widely variable ways, and proper, multi-layered analysis is required to gain actionable insights and deliver better solutions and services to patients.
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Blog: Navigating the complexities of healthcare data types
Navigating the landscape of healthcare data has become increasingly challenging amidst a multitude of data types including open and closed claims sets.
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Blog: SDoH data for efficient, patient-centred clinical trials
The social determinants of health (SDoH) are a key component of understanding and delivering better outcomes for patients.
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Media article: Data integration frameworks key for embracing big data’s potential
Rick Rosenthal and Paula Fullman explain how to navigate the complexities and challenges of the evolving digital landscape of healthcare data.
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Blog: How pharma can use social determinant of health to address health equity
Effectively leveraging SDoH data can help close the gap in health equity and reveal new insights to guide pharma brand growth.
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Media article: Navigating the data-rich landscape of healthcare: The utility of data exploration and visualisation
In the ever-expanding universe of real world data, exploration and visualization strategies have become indispensable. Explore 5 takeaways relevant to these strategies.
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Real World Data webinars
The landscape of real world data can be difficult to navigate
Database mapping provides a tool to systematically identify and evaluate RWD sources.
Effective ingestion and normalization of real world data sources
As more sources of anonymized Real World Data (RWD) become available, the ability to ingest, standardize and then link the collected disparate data sets is critical to creating insightful, analytical output.
Five common barriers to harmonised real world data (RWD)
Duplicate data environments, redundant data subscriptions, and siloed data access are not providing a good enough return on investment for Real World Evidence (RWE) generation
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Optimise your RWE investments
Increasing drug development cost, the shift from volume to value-based pricing, and competition from generics and biosimilars, are forcing pharma and life science organizations are looking towards Real World Evidence (RWE) to prove the value – cost, safety, and effectiveness - of their products.
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How RWE continues to shape the late phase research landscape
Creating a comprehensive RWE strategy demands a focus on organizing and synthesizing the many real world data (RWD) asset options that are available to life sciences companies.
Real world evidence across the product lifecycle
Payment models and federal reforms are increasingly focused on the real world impact of treatments and devices. More regulatory guidance is being released in both the US and EU around the use of RWE to support and enhance submissions and product uptake.
Reduce the cost of post-market surveillance with real world data
Real-World Evidence (RWE) is derived from Real World Data (RWD), and early use of Real World Evidence can cut post-marketing study costs and Medical Device time-to-market.
Devices are especially good candidates for early RWE use since evidence collected in the context of actual patient care from previously approved versions or similar devices often can be used to supplement findings from clinical trials of the latest version in development.
RWD and Alzheimer's disease
Real world data such as sleep quality and quantity have clinical relevance in Alzheimer's disease, providing objective measures of sleep and activity patterns that are not subject to patient recall bias. Review the use of wearables in Alzheimer’s disease to provide objective measures of sleep and activity patterns that are not subject to patient recall bias.
Harnessing technology to maximise RWE value
Late phase research is undergoing rapid transformation due to the impact of healthcare digitalisation and the greater availability of and access to Real World Data (RWD).
Meeting evidentiary needs with EHRs
How can the abundance of Real World Data (RWD) from Electronic Health Records (EHRs) enhance your late phase research studies while decreasing study costs?
Receive more insights on Real World Data
Please visit ICON's Preference Centre and select 'Real World Evidence' under 'Topics of Interest' to receive new insights on oncology.