REAL-WORLD DATA (RWD) / REAL-WORD EVIDENCE (RWE) INSIGHTS
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Developing A Risk-Based Model For Computer System Validation
Consultant Richie Siconolfi explores risk factors that can be used to develop a risk-based approach to computer system validation.
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3 FDA Guidance Documents That Shaped Today's Computer System Validation
Consultant Richie Siconolfi outlines three FDA guidance documents for evaluating and mitigating risks in validating computerized systems.
RWD/RWE RESOURCES
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Optimizing Clinical Trials: Getting The Right Results By Keeping it Real
Biopharma companies and CROs can utilize real-world data to better reflect real-world populations in clinical trials, optimizing protocol design,site selection, and patient matching.
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Pitfalls And Possibilities: EHRs To RWD Via EDC
Consider DIA GCP & QA Community Chair Terry Katz’s perspective on repurposing and analyzing EHR data for clinical research.
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6 Key Ways Real-World Data Is Accelerating Breast Cancer Therapies
Real-world data (RWD) is increasingly vital for advancing breast cancer research, and leveraging TA datasets allows researchers and clinicians to address pressing challenges.
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How To Use Real World Data To Maximize Patient Recruitment In DCTs
In the clinical trial space, RWD helps support research design, protocol and patient engagement goals. Perhaps the most immediate way clinical research leaders can harness the power of RWD is as a tool for optimized patient recruitment. Learn how this can be done in the available blog.
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5 Ways Lab Data Can Help Commercialize Your Therapy
In this text, we delve into five pivotal insights for leveraging lab data effectively.
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RWD: More Than Just Another Acronym
Uncover how real-world data can not only be used for any type of clinical trial, but study sponsors can also use RWD to inform all stages of a study.
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Understanding The Perceptions And Potential Of Clinical Research
The PA Consulting Clinical Trials Pulse Report 2024 presents a compelling picture of public perceptions, challenges, and innovation opportunities in clinical trial design and delivery.