FEATURED CONTENT

• Clinical Data Trends, Challenges, And Opportunities

  Gain industry insight from a collective of experts on the importance of clinical data as a critical asset.

• Data Pitfalls In Oncology Clinical Trials And How To Avoid Them

  Researchers are often faced with the challenge of preventing data management drawbacks in oncology clinical trials. Check out these new recommendations to ensure successful delivery of quality study data.

• BMS Adopts A New Clinical Data Architecture

  Learn how to optimize data review processes to streamline and improve access to clinical trial records.

• Today And Tomorrow: WaysTo Accelerate Decentralized And Digital Trials

  Learn about the need for investment in modern technology platforms to successfully handle the influx of new data streams available in research today, as well as those coming in the future.

• Optimizing Data Services For Digital Trials With A Clinical Data Cloud

  Learn how internal processes and comprehensive clinical data services for digital trials can be improved through the utilization of data clouds.

• Powering Effective Oversight: Creating Actionable Clinical And Operational Data Insights

  Learn how to better adjust to the influx of healthcare information and ensure appropriate oversight of clinical trial data, risk-based strategies, and reliable operational and clinical analytics.

• Effective Oversight To Meet Diversity, Inclusion And Equitable Trial Participation Goals

  Discover ways that the pharmaceutical industry is taking steps to promote diversity, inclusion and equitable participation in clinical trials.

• Moving Beyond Traditional CTMS To Unlock Value In An Outsourced Model

  The proliferation of data sources and the rise of outsourced trials has changed how CTMS is defined. What role does a CTMS play in the modern-day clinical trial and are you future-ready?

• Next Generation Data Management Strategies For Clinical Trials

  Karyopharm had multiple trials in their pipeline, all in various phases of development, and all on tight timelines. Find out how they outsourced data aggregation, cleaning, metric generation, and the manual development of SAE.

• The Drawbacks Of Working With Siloed Data For Medical Monitors

  Take a closer look at some of the drawbacks medical monitors can experience when working with siloed data from multiple sources and vendors.

• Simplify Your Clinical Data Flow To Streamline And Automate Modern Data Review

  Examine the three reasons why simplifying your clinical data flow can increase operational oversight, shorten data management cycle times, and reduce the manual burdens on data management teams.

• Digitize Your Trial: Focus On End-User Experiences To Make White Box Data-Driven Decisions

  Explore how the trend toward making studies more accessible to patient populations, particularly in remote areas — and the investments in technology infrastructure to promote decentralized study models — will continue.

• Supporting Diversity And Inclusion Goals For Clinical Trials With An Effective Analytics Strategy

  Explore why the under-representation of racial and ethnic minorities in clinical trials in the United States is too staggering to ignore.

• Powering A Digital Health Initiative With Streamlined Data

  elluminate is a unified clinical data platform that seamlessly integrates and combines data from all sources for streamlined data review, exploration, and analytics with full governance and data lineage.  Find out why BMS selected elluminate as their Clinical Data Workbench (CDW)

• The Clinical Development Digitization Guide: Strategies To Drive Success

  This clinical development digitization guide includes strategies to overcome digital transformation challenges and accelerate innovation in clinical development.

• How Risk-Aware Are You? Establishing A Foundation For A Holistic RBQM Strategy

  This paper highlights why the industry is moving towards RBQM and how sponsors can build a scalable approach that protects trial participants, upholds study integrity, and increases operational efficiencies.

• The Case For A Clinical Data Strategy

  Many life sciences companies are looking for ways to transform their approach to become data driven organizations with digital health initiatives. Explore why this requires an organizational approach and vision around data strategy.

• The Digital Statistical Computing Environment (SCE) Playbook For Clinical Development

  Discover how life sciences organizations can utilize an integrated statistical computing environment to streamline the production of submission deliverables while increasing programming and analysis efficiencies.