Clinical Research
Off-shoring: A Country Attractiveness Index for Clinical Trials
By Mark P. Mathieu
For many years, pharmaceutical companies have been off-shoring manufacturing operations to lower-cost countries. Healthy margins and strong risk aversion have afforded pharmaceutical companies the luxury of staying close to home, for all but manufacturing activities. As financial pressures increase, pharmaceutical executives are finding that going offshore is not only less risky than it once was, but also too attractive to ignore. Read More
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More than Data Integration: A Vision for “eClinical”
Mar 15 | Expert Commentary | The aim of integration of technologies is certainly the sharing of common datato ensure that all systems have the most up to date information, data don’t need to be re-keyed, and discrepancies are reconciled between applications.
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Implementing Core Clinical Trial Technologies
Feb 16 | Expert Commentary | In the clinical space today, more technology solutions are being used, and investigational sites often employ multiple solutions within a single study to perform their responsibilities. Solutions include clinical trials management systems, electronic data capture systems, electronic patient reported outcomes solutions, randomization and trial supply management solutions (typically deployed using IVR/IWR technology), medical imaging technologies, central ECG management and reporting solutions, adverse event and safety systems to name but a few.
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OmniComm Links EDC to HealthVault
Jan 27 | RFP Connect | OmniComm Systems has announced its TrialMaster EDC is now connected to Microsoft HealthVault.
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OmniComm Strives to be a Tier I eClinical Player
Oct 20 | OmniComm Systems is on a roll. In a few short years, it has essentially come from nowhere and is now positioned as the Number 3 electronic data capture (EDC) player.
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In Conversation: Oracle’s Patti Gaves on EDC and Integration
Oct 13 | In a recent conversation with industry veteran Patti Gaves of Oracle Health Sciences Global Business Unit, eCliniqua was curious about her perspective on the current status of electronic data capture (EDC), the industry’s strong focus on integration of electronic point solutions, and the evolution toward eClinical trials.
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Microsoft in Life Science Arena
Oct 5 | A few short months after naming Merck & Co. as a customer and development partner, Microsoft has attracted a sizable following to its life sciences platform intent on helping scientists design better drugs, sponsors better interpret clinical trial results, and physicians better match treatments to patients.
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Infinity’s EDC Evolution
July 7, 2009 | Last April Infinity Pharmaceuticals hit a major bump in the road when a review of the first few dozen patients in its Phase III trial for its lead compound prompted the company to instantly halt the trial. But Infinity still seems to be on the right track.
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Site Solutions for All that Ails EDC
June 22, 2009 | In a recent issue of eCliniqua, investigative sites aired their frustrations with many of the e-clinical technologies embraced by study sponsors. They made particular note of technical deficiencies with electronic data capture (EDC) systems. But, as discussed below, they also offered some solid remedies for improving the situation.
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Investigative Sites: The Trouble with e-Clinical Technologies
June 1, 2009 | Even the most progressive, tech-savvy investigative sites are aggravated by many of the e-clinical systems being embraced by study sponsors. Virtually no type of clinical trial technology escapes criticism, but EDC systems seem to be the biggest offenders.
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EDC Co-Development a Win-Win for Ferring, Target Health
May 26, 2009 | Common wisdom holds that drug makers should stay out of the business of developing information technology (IT) software and instead buy off-the-shelf solutions. But that’s not necessarily the best and cheapest way to collect data or manage clinical trials.
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The Workflow Driven Lab Many companies have recognized that their internal business units operate as a set of business processes. These business processes are also called workflows. Modern Laboratories are highly suitable to this workflow driven approach. In fact, the lab environments successful operation is predicated on the successful definition and adherence to workflows. It could be said that a modern laboratory is an advanced process implementing construct. It is important that laboratory management software mirrors the process driven nature of the lab thereby increasing automation, shortening learning curves, improving data quality and increasing lab throughput. - The modern laboratory is an advanced workflow implementing construct
- Laboratory Management Software solutions should fully embrace and mirror this process driven approach
- Effective information management of workflow processes with a LIMS results in increased automation, reduced training curves, better data quality and increased lab throughput
Curing Life Sciences Data Management Challenges with Scalable Storage High performance storage systems are a given to meet today’s life sciences R&D computational challenges. But with the explosive growth in data produced by next-gen lab equipment, scalability and long-term data management issues must also be addressed. Read this paper to learn: - Why new lab equipment will impact R&D workflows
- How to avoid the hidden costs of long-term data management
- What approach you should take to accommodate today’s data while having the flexibility to scale to meet future demands.
StorNext 4.0: Technical Product Brief
Proven in the world’s most data intensive industries, Quantum StorNext is a scalable, high-performance file system which allows data sharing across Linux, Mac, Unix, and Windows operating systems and manages data in enterprise storage environments. In this Technical Brief you'll learn: - How a high-performing file system can accelerate your business
- How to simplify your data management
- How a tiered storage approach can save you money
Predict or Perish! Shaping the Practices of Clinical Trials
 Sponsored by: DecisionView
Predictive Analytics are a key differentiator in running your clinical trials successfully through 2010 and beyond. They will help you to optimize your patient enrollment, reduce your clinical operations costs and minimize your financial liability in the clinical supply chain. In this session, you will:
• Learn what predictive analytics are and what they are not
• Understand why you need predictive analytics to run your clinical trials, and
• Explore how predictive analytics will shape the future of clinical trials
Download Now.
More Podcasts
The University of Washington Department of Genome Sciences is seeking a LINUX SYSTEMS ENGINEERING MANAGER to lead a team in a diverse scientific computing environment that includes multiple HPC systems, petascale storage, and custom application servers. Apply online at UW Hires for req number 61505. http://www.washington.edu/admin/hr/jobs/
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