REAL-WORLD DATA (RWD) / REAL-WORD EVIDENCE (RWE) INSIGHTS
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Penetration Testing In Healthcare: Common Vulnerabilities And Programs To Address Them
Explore some of the common pitfalls witnessed in healthcare environments, as well as guidance for implementing a penetration testing program.
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Penetration Testing In Healthcare: HIPAA And GDPR Requirements
Learn about penetration testing requirements in the healthcare environment, including clinical research, according to HIPAA and GDPR.
RWD/RWE RESOURCES
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The Impact Of RWD And Cloud Tech On Research, Health Outcomes
Far too often, valuable data sources are siloed, disparate, and unusable. Learn how expansive datasets can empower the industry to advance clinical trials and outcomes research, benefiting all communities.
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6 Ways Lab Data Can Improve Clinical Trials
Explore six key ways laboratory data strengthens the clinical trial process, focusing on how RWD enhances patient recruitment, accelerates screening workflows, and improves overall study outcomes.
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The Value Of Tokenizing Clinical Development Data
Most use cases of real-world data don’t require tokenization to deliver value. However, given industry challenges and the influx of information, see how ROI can be achieved from trial data tokenization.
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RWD/RWE In 2023: Regulatory Policy World Tour
Learn about what the industry considers RWD/RWE priorities for the year, as well as current efforts being taken within each region around the globe.
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The Hidden Cost Of Preferred Vendors
Familiar vendors offer comfort — but at the cost of innovation, fit, and fresh thinking. Ease shouldn’t outweigh excellence when selecting partners for your clinical trial.
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Trial Tokenization To Understand The Long Term Effectiveness Of A New COVID-19 Vaccine
In this case study, learn why a client needed to connect to real world date sources in order to identify potential sources of data that would enable observation of COVID-19 infection rates .
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Modern Data Platform Strategies That Accelerate Clinical Development
A modern data platform is essential for clinical research because it unifies fragmented data, embeds governance, and enables faster, more reliable decision-making.