Whitepapers

When drug developers choose the right outsourcing strategies in clinical research, they can gain significant benefits in terms of quality, efficiency, and operational success. In its third annual Functional Service Provider (FSP) Trends Report, Thermo Fisher Scientific’s clinical research business—PPD—gathered insights from 150 global biotech and pharma leaders to determine how FSP models help sponsors address common industry obstacles.

Leveraging data-driven patient and healthcare provider (HCP) insights, including social drivers of health (SDOH), is essential for life sciences companies to continuously improve patient engagement and commercial success. Mark Rodgers, AVP of Commercial Analytics at Inovalon, discusses how identifying treatment milestones, assessing HCP performance, and segmenting patient populations using SDOH data can drive targeted strategies that improve healthcare outcomes and market access

We are amidst a data revolution in healthcare and the life sciences. With advances in DNA sequencing, multiomics, wearables, imaging, and clinical data capture, there is more data — and there are more data modalities — to draw from for biomedical research than ever before. However, the quantity, variance and speed of data generation outpaces researchers’ ability to effectively utilize it to reveal medical breakthroughs for those in need. The ability to analyze health data is critical in developing a precision health approach. By leveraging diverse data sources, researchers can determine the most effective actions for individuals and communities. However, current barriers to data access and collaboration hinder progress. To accelerate the pace of discovery, a solution is needed to close the gap between research and health care. This paper describes how Verily Workbench provides solutions for healthcare professionals and researchers to easily access and collaborate on data within an integrated analysis and governance framework. Workbench provides a community of researchers with the platform, data, and tools to solve the most pressing scientific challenge

Learn how Quest can help connect highly qualified patients to a clinical trial with precision identification and direct to patient outreach

According to a 2024 study “Benchmarking Site Activation and Patient Enrollment,” 33% of sites under-enrolled, and 14% failed to enroll a single patient. The best way to course-correct this is to adopt a multifaceted approach to patient recruitment, that goes beyond traditional channels and ways of thinking.

Watch Citeline’s 15-minute presentation from Clinical Leader’s Patient Engagement & Recruitment Solutions Expo, where VP Matt Holms explores Direct-to-Data (DTD) patient recruitment. This session takes a deep dive into how complex algorithms, tokenized data, and large data assets can optimize enrollment, highlighting the importance of early strategic recruitment planning and breaking down the unique benefits and real-world applications of DTD.

Dr. Peter Wahl, MLA, MS, ScD, VP and Global Head of Scientific Affairs at CorEvitas, part of the PPD™ clinical research business of Thermo Fisher Scientific, discusses the critical role of protocol-driven registries in generating regulatory grade RWE to serve multiple and evolving evidence needs across the drug development life cycle. He covers key considerations for selecting the right type of registry, explains why registry data is the gold standard in RWD, and how it contextualizes safety and effectiveness to fulfill FDA and EMA post-marketing requirements.

Market Data Analytics Buyer's Guide - Are you considering a medical claims data solution for healthcare business planning and strategy? Here’s how to make sense of the options.

A pharmaceutical company aimed to launch a Phase III clinical trial for a new oncology drug, focusing on efficient and effective patient recruitment across diverse regions. They evaluated patient populations by analyzing demographics, social determinants of health, and geography. Investigator profiling included practice details, affiliations, referral networks, and clinical trial experience. The final step involved selecting and extracting target lists for implementation.

This white paper presents findings from the PurpleLab Migraine Study, which leverages real-world data to analyze migraine prevalence, treatment variations, and provider insights. The study examines data from approximately 10 million Americans diagnosed with migraines, focusing on patient demographics, treatment pathways, and healthcare provider specialties. Key findings include the high prevalence of migraines among females aged 18-54, racial and ethnic disparities in treatment, and the significant role of specialized providers like psychiatrists and neurologists in managing migraine care. It highlights the importance of tailored treatment approaches and the potential benefits of complementary and alternative medicine therapies.

Clinical trials are crucial for drug development but often face delays due to poor site selection, which can lead to protocol violations, poor data quality, and increased costs. Ninety percent of clinical trials fail to meet their timelines, and issues like inadequate staffing and patient recruitment are significant challenges. Traditional site selection methods are inefficient, and the COVID-19 pandemic has further complicated the process. Data-driven insights can optimize site selection by evaluating current data on patient populations, investigators, and site capabilities.

Modern clinical trials can be an overwhelming experience for participants, compromising everything from medication adherence and data quality to overall study outcomes. AiCure’s H.Code is a patient engagement platform that reinvents the clinical trial experience for participants using cutting-edge AI, easy communication, and dedicated support for sites. Read our fact sheet to learn how H.Code extends the reach of your clinical team using an AI-powered analytics platform and a user-friendly smartphone app.

Modern clinical trials are more complex than ever, and one significant reason is the increased focus on patient engagement. Incorporating a patient engagement platform into your clinical trial enhances the patient experience and can lead to more successful trials with stronger, more reliable outcomes. We put together this helpful checklist of key features to look out for when choosing a platform for your study.

Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.

AliveCor knows that cardiac safety is critical, with concerns often driving drug withdrawals from trials and the market. Our solutions go beyond compliance to boost regulatory trust, data integrity, and trial success. As the only company offering integrated 6L and 12L ECGs, we provide comprehensive monitoring—onsite and remotely—to meet complex cardiac requirements. Our innovative tools empower sponsors and CROs to control trial data, enabling faster, smarter decisions throughout the research lifecycle.

A top 5 sponsor turned to WCG to recruit expecting mothers for its Phase III RSV vaccine trial. WCG support covered multiple countries and contributed almost one third of overall randomizations in the supported countries, bringing the study in ahead of schedule despite delays due to COVID-19 impacts on RSV seasonality. The sponsor met study timeline past enrollment by continuing to work with WCG’s retention support.

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