Blogs

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Successful project management requires efficiency in both identifying and addressing bottlenecks before they impact study timelines. This article examines how to design data collection criteria for optimal performance.

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Today’s convergence of health data and technology is fun to watch unfold, but a focused vision on system and process integration-and the framework for continuous enrichment-will be key to future lasting gains for clinical research.

This 3-part series provides insight into ensuring compliance with the ICH E6 (R2) Addendum to take effect later this year. Part 2 covers steps that organizations can take today to begin adopting a centralized technology-based approach to risk management.

Patient recruitment remains a challenge for both the biopharma industry and the oncology research community. New recruiting platforms in development have the potential to change the way the industry uses technology, data and the internet to augment recruiting efforts.

Faced with new EMA guidance on anonymizing clinical trial data, drug manufacturers have two choices – do what it takes to meet the November deadline and prioritize clinical study reports, or embrace a more sustainable strategy that starts with the patient-level data.

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Many have inquired about writing an RBM plan due to recent changes in industry execution and an increase in RBM experiences. Moe Alsumidaie responds with a brief methodology on developing a risk management process to create an RBM plan.

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder which does not have an approved medication to address its core symptoms. The Janssen Autism Knowledge Engine (JAKE) was designed to advance the clinical research process for autism by integrating emerging technologies into traditional clinical trial processes.

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Clinical trials of the future may be closer than we think as we strive to deliver smarter, faster and more cost effective treatment to patients. The data exists to make this possible, now we must change our thought process to meet the needs of patients and sponsors.

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Pfizer has created a clinical trial modeling tool for mitigating study risk during the protocol design and study execution phases. Jonathan Rowe speaks with Moe Alsumidaie on the purpose behind these predictive models.

The early implementation of post authorization safety studies (PASS) will translate to efficiencies in pre-appoval research. These benefits allow for faster approval and wider patient access to potentially life saving therapies.

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FHIR (pronounced "fire") is a new, free of cost, platform that has the ability to access and create data though EHR systems. Wayne Kubick writes that using such a platform could truly re-engineer how pharma collects data during clinical trials.