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Overcoming the Challenges of Connecting Trial Site Data to Real World Data – The Latest Innovations in Data Connectivity

Connecting real world data to clinical trials holds promise for researchers and patients. It can extend the observation period of studies and supplement data for patients lost to follow up.

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Research Using Connected Health Data
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Amivantamab compared with real-world therapies in patients with NSCLC with EGFR Exon 20 insertion mutations who have progressed after platinum doublet chemotherapy

Amivantamab is an epidermal growth factor receptor (EGFR)-MET bispecific antibody with immune cell-directing activity.

Privacy Hub: Technology-Enabled Expert Determination and HIPAA Compliance
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Optimize Your Decentralized Clinical Trials with Real-World Data

Decentralized clinical trials and real-world data (RWD) are two of the most commonly cited approaches for driving greater efficiency and patient-centricity in clinical research, but can they be brought together to drive even greater impact?

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An Overview of Approaches to Privacy-Preserving Data Sharing

In my earlier post, The Fragmentation of Health Data, I gave an overview of where data comes from and how it flows across the healthcare ecosystem. This post will focus on the landscape of privacy-preserving technology and approaches to protecting privacy during those data flows.

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Opening Remarks

Senator Bill Cassidy discussed the legislative landscape for health care technology and his views on health data privacy.

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Advancing Oncology Clinical Trials with Real-World Data

By virtue of sheer volume, oncology trials can set the stage for overall clinical trial innovation. Moreover, oncology as a therapeutic area has seen the closest interplay between clinical trial data and real-world data, from the creation of external control arms created exclusively with real-world data, to long-term follow-up registries, to pragmatic clinical trials.

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The Data Ecosystem in 2025

Every year, more and more patient data comes online. Technological advances and the development of new analytics solutions make previously inaccessible data increasingly accessible. Meanwhile, exploding numbers of new patient and consumer-facing tools introduce novel data types.

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