Clinical Trial Technology Editorial

  1. The Keys To A Successful Training, Change Management, & Support Program

    Implementing a new technology presents many challenges for companies. There is the implementation itself, the training of users, managing the change, and finally providing support to users. A panel discussion at the 2019 Oracle Health Sciences Connect conference tackled these challenges, providing advice on how to manage all facets of a new technology implementation.

  2. 5 Tactics To Overcome Technology & Innovation Adoption Challenges In Clinical Research

    Our global digital population — people around the world that are active internet users — has grown to 4.3 billion as of July 2019, representing roughly 56 percent of the global population. Of this global digital population, almost 4 billion are accessing the internet using mobile devices, with non-tablet mobile devices contributing nearly half of web page views worldwide.

  3. Email/Excel vs. Clinical Applications: What Do ClinOps Professionals Really Need?

    The Veeva 2019 Unified Clinical Operations Survey examines the extent to which the clinical trial industry has sought to overcome its dependence on outmoded processes through the implementation of clinical applications. The survey’s main objective is to grow understanding of the “drivers, barriers, and benefits of a unified clinical operating model” through the exploration of clinical stakeholders’ attitudes about the clinical applications they currently use.

  4. AbbVie Goes All-In On Wearables And Digital Technologies

    When working groups at AbbVie first began evaluating the use of digital technologies in clinical trials, the discussions were mostly conceptual. Individuals agonized over the right approach, the quality of the data, and whether the efforts would be accepted by regulators. Three years ago, the company decided to stop debating and start executing.

  5. Standard Of Care And The Internet Of Medical Things

    During the American College of Cardiology annual meeting in March, researchers from Stanford University, Apple Inc., and other academic centers unveiled the Apple Heart Study, a first-of-its-kind large-scale study involving more than 400,000 members of the general population (iPhone and Apple Watch owners). The goal of the study was to identify users with a potentially lethal irregular heart rhythm called atrial fibrillation (AF).

  6. The Human Component Of Clinical Trial Technology Implementations

    As part of our ongoing series about best-in-class approaches for rapidly assessing, prototyping, and introducing digital and other clinical trial technologies, we focus our attention in this article on the “human” component of technology-enabled transformation.

  7. Machine Learning In Clinical Trials: What Will The Future Hold (And What’s Holding Us Back)?

    While the industry is taking baby steps into using machine learning in clinical trials and for other data-generating objectives, the value of this data will depend on the transparency of algorithms, robustness of data sources, and extrapolation to real-world outcomes.

  8. The Cell Therapy Discovery About To Disrupt Clinical Trials

    While pursuing hid PhD in chemical engineering at MIT, Armon Sharei developed an interest in novel cell therapies. That interest led him to a discovery that today is the foundation of SQZ Biotech, a cell-therapy company where he serves as CEO. Sharei discovered a new method of inserting materials into cells more effectively than anything that currently existed.

  9. A Prepared Approach To Technology In Clinical Trials

    Advancements in technology create new avenues for optimizing clinical trials and the lessons that can be learned from them. With the gap between advancements in technology and regulatory uptake in clinical trials, it is important to rigorously examine technology applications. While the promise of new technology can lead to overenthusiastic adoption, mirroring the pace of other industries may not always lead to the best outcomes for patients. To increase regulatory buy-in to the use of these technologies, the clinical trial world needs a thorough understanding of the functionalities of each technical innovation, its potential utility and limitations, and how to build trust among patients, regulators, and other healthcare professionals.

  10. Janssen’s Lessons Learned From Digital Health Implementation

    In his role as product line owner for digital health at Janssen, Mark Sapp leads a team that works directly with different therapeutic areas inside the company. “Our focus is helping our clinical teams get from point A to point B,” says Sapp. “We assist them with taking their idea and scaling it up, identifying the clinical endpoints they hope to achieve, and helping them stay focused on the results they need to generate.”