ABOUT PERKINELMER, INC.

PerkinElmer’s advanced analytics and services solutions for Clinical Development help the world’s leading biopharmaceutical, medical device and diagnostics manufactures discover new therapeutics faster by streamlining clinical operations, transforming risk into safety and enabling actionable decisions that can lead to better health outcomes.

FEATURED PRODUCTS

See our exciting new solution for medical monitors, PerkinElmer Signals™ Medical Review which empowers clinical development teams and medical monitors to detect safety signals faster and reduce time to submission by combining innovative medical review workflow with advanced analytics.

The PerkinElmer Risk-Based Monitoring Solution is the most effective way to leverage data-driven insights to optimize site performance while improving patient safety.

WEBINARS

The pace, complexity, and volume of data being generated means that Medical Monitors, safety review teams, data managers, and others working with clinical data need interactive solutions that enable real-time analysis and faster decision-making. Learn how Signals Line Listing Review enables clinical study teams to review, query, and track the status of their line listings in a collaborative, centralized, and scalable environment.

Clinical development teams often rely on outside, contracted organizations to provide data or analyses. These sponsors are under enormous regulatory scrutiny. Join Houston Gilbert from Arcus Biosciences, along with experts from PerkinElmer, to learn how Arcus Biosciences, an oncology-focused biopharmaceutical company, tackled the data quality and oversight challenges they faced with their CROs and how they enabled their clinical teams with self-service analytics.

Protect the safety of trials subjects and give medical monitors the ability to increase the quality and speed of their work with this solution.

Medical monitors are overwhelmed by the sheer volume and variety of data they need to sort through to find, investigate, and react to safety signals. To reduce the risk of missing a safety issue and protect trial subjects, monitors need a way to quickly and easily find what they need, without having to hunt through irrelevant data. PerkinElmer Signals Medical Review is purpose-built for medical monitors, enabling them to detect safety signals faster and easier. With the innovative combination of targeted workflow and industry-leading analytics, Signals Medical Review reduces the overall time to submission without compromising safety.

This webcast discusses how central monitors can leverage guided visual analytics to find and act on the right site issues quickly without sifting through mounds of operational and site data.

This webcast discusses how drug safety teams can use dynamic visual analytics to uncover safety issues earlier. All the while, complying with extremely complex and ever-evolving regulatory requirements.

This webcast discusses how medical monitors can leverage guided visual analytics to find and act on the right issues quickly without sifting through mounds of clinical data.

CONTACT INFORMATION

PerkinElmer Informatics, Inc

940 Winter St

Waltham, MA 02451

UNITED STATES

Phone: 203 925-4602

FEATURED ARTICLES

  • A pharmaceutical company first was looking to deploy a software solution for a small group of R&D users for analyzing research data. Read how the TIBCO Spotfire®, an enterprise-class visualization and analytics platform, allowed them to exploit an array of functionality, from chemical structure analysis to statistical modeling, to build dashboards and visualizations that maximize understanding of R&D data.

  • This article examines data challenges faced by sponsors and the underlying problems driving those challenges. It also details fast and flexible new processes and solutions designed to help overcome these challenges by serving sponsors’ ever-increasing need to analyze complex data.

  • The pace, complexity, and volume of data being generated means that Medical Monitors, safety review teams, data managers, and others working with clinical data need interactive solutions that enable real-time analysis and faster decision-making. Learn how Signals Line Listing Review enables clinical study teams to review, query, and track the status of their line listings in a collaborative, centralized, and scalable environment.

  • Top 10 global biopharmaceutical company needed to implement a single clinical study data review system to reduce the time, cost and risk of running their clinical trials while accelerating the time to market. The company deployed PerkinElmer's interactive data visualization and analysis solution to their clinicians and safety reviewers as part of a safety review tool that is quickly becoming the tool of choice for clinical data review.

  • Clinical data review is an intrinsic component of clinical development aimed at assuring patient safety, determining drug efficacy, and assessing data quality. It involves rigorous analysis of a broad variety of clinical trial data and often necessitates integration of data from multiple sources in order to extract actionable insights. Here, we look at some of the main challenges of clinical data review and discuss effective strategies to address these, before explaining how our solutions can be deployed to bring urgently needed therapeutics to patients faster.

  • How a single, integrated data analytics and visualization platform, supported by an experienced partner, can help you move your investigational product to market more quickly.

  • Reasoning for physician monitors’ reluctance, and what technology needs to offer to convince monitors their work can be more efficient: quickly detecting safety signals and speeding time to submission.

  • Learn about the challenges for Sponsors and CROs when integrating a vast array of data sources, typical relational database structures and why they don’t work for clinical analytics,  as well as the ideal clinical data aggregation solutions for continuous, automatic data consolidation.

  • How to identify, hire, and empower a modern medical monitor to help your next study proceed toward submission more productively, and with greater data integrity, than ever before.

  • How a $23 billion publicly-held global specialty pharmaceutical company leveraged a software application to strike balance among its clinical studies portfolio, resources, and budget.

  • Exploratory data analysis is performed at different levels In the Novartis research and development environment. By implementing a solution that creates a workflow for exploratory clinical safety data analysis they have access to interactive graphical data exploration that provides an efficient, powerful and flexible tool to improve both detection and systematic assessment of safety signals.

  • Overcoming the many known barriers to adopting and implementing an RBM program.

  • What to consider when making this important strategic decision.

  • What is the medical monitor's role in the latest ICH E6 (r2) guidance and how to get them to adopt technology that will help them experience tangible efficiency and quality gains.

  • In this interview, Jennifer Prichard, MD, Medical Monitor at Atlantic Research Group, and Hunter Walker, CTO at Atlantic Research Group (a CRO) will discuss challenges with existing medical monitoring processes, and how new technologies can help improve efficiency.

  • Protect the safety of trials subjects and give medical monitors the ability to increase the quality and speed of their work with this solution.

  • PerkinElmer, Inc., a global leader committed to innovating for a healthier world, recently announced the launch of PerkinElmer Signals Medical Review.

  • With sponsors facing increasing pressure to reduce drug prices and bring therapies to patients faster, follow these tips to shorten your clinical development process.

  • The data landscape for clinical operations is complex and comprised of many disparate sources, so a data agnostic solution is essential for full access and visibility into the data. Without an intuitive visual analytics tool, it becomes impossible to navigate data hierarchies and gain meaningful insights into the data.

  • Insights from medical monitors about the obstacles they face and their impact on the overall study conduct, operational efficiency, and most importantly, subject safety.