Industry Trends

Loading...

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



Early Trial Planning Solutions



Loading...

By Allison Proffitt

June 21, 2010
| Medidata announced two new products at the Drug Information Association (DIA) meeting in Washington, D.C.: an updated version of Grants Manager and Medidata Balance.

Glen de Vries, Medidata Solutions president, says that Balance will do for clinical trial randomization what Medidata Rave did for data transfer from site to sponsor 11 years ago. “There’s never been somewhere where I can just go online and turn on a randomization system for a clinical trial,” says de Vries. “That’s exactly what we’ve done with Balance.”

Balance is a randomization and trial supply management (RTSM) solution that replaces interactive voice response (IVR) and interactive web response (IWR) systems. Study designers and trial managers can use Balance to plan and simulate trials, while sites can use Balance to assign subjects in real-time at enrollment, and begin drug supply planning immediately.

“Randomization can become quite complex,” de Vries told eCliniqua. “You’ll have a clinical trial where maybe you have 10 different doses or 5 different doses and you need to figure out which one is most effective. There may be other factors, the age of the subjects or their genders.” With traditional block randomization techniques, subjects are assigned in the trial according to a pre-determined schedule.

“You load that data into the system and when the inevitable issues occur, for instance a patients gets randomized then drops out of the clinical trial, you hope— you hope!—that you have balance in the trial, that you’ve achieved the relative equivalence of study subjects that have gotten the drug or placebo,” says de Vries.

The solution is dynamic randomization, or assigning subjects to the study based on how enrollment is progressing in real time while still remaining blinded and nondeterministic. “Dynamic randomization is something that has typically been regarded as the more advanced, the more complicated, the more expensive, the more time-intensive way to randomize subjects, and it’s therefore not used that much,” says de Vries. “We think dynamic randomization isn’t something that should require tons of cost and tons of time and tons of risk.”

In addition to one-click dynamic randomization, Balance supports trial simulations. “If you don’t like the way the trial came out if you did it ten times simulated, change the parameters and do it ten times more and see how it comes out,” de Vries says. “You can do all the design, and then just turn on dynamic randomization in a very streamlined way, without having to implement any custom software to do it.” 

Balance is not a module for Rave, but works seamlessly with the system. It brings all elements of the design and execution of randomization and supply logistics into the Medidata Rave platform. Giving trial designers and sites a single system for everything from randomization to EDC helps trials run with fewer subjects and less time, risk, and cost, says de Vries. 

How Much, and How Complicated
Continuing with a focus on early-trial planning, Medidata also announced an update to their Grants Manager product. Grants Manager 3.0 is where users aggregate and pool their worldwide grant payments and is a database of actual but anonymized trial costs.

“So you’re doing a new clinical trial. You decide you want to use some sites in China, but you want to know what, on average, a site in oncology in China in Phase II gets paid to do a blood draw. You use Grants Manager to figure that out,” explains de Vries.

Grants Manager 3.0 is now browser-based with a friendly user interface that provides data for more than 80 countries with specific regional groups by country and has the ability to assign different study arms for countries, regions and site budgets.

But the most exciting thing, de Vries says, is the benchmarking capabilities of not only cost but complexity, a measure based on research that Medidata did with the Tufts Center for Drug Development and that de Vries calls “spectacularly useful.”

“The benchmark that you get out of Grants Manager now shows you the information about complexity. Is your clinical trial one that is harder or easier from an execution standpoint for that site in China than they’re used to?... If I know that I have a particular clinical trial that is hard—meaning it’s going to take a lot of time and a lot of different procedures—I may want to go and find more experienced sites to work on it.” Having access to both complexity and actual cost data allows Grants Manager users to make operational decisions.

Click here to log in.

0 Comments

Add Comment

Text Only 2000 character limit

Page 1 of 1

White Papers & Special Reports

oracle_RDC
Remote Data Capture:Acquisition and Analysis
Sponsored by Oracle

See why Electronic Data Capture (EDC) is gaining traction in the pharmaceutical
clinical trials arena. Today approximately half of all clinical trials are conducted
electronically, and the figure is rapidly rising. Report includes contributions from
Oracle Health Sciences, Pfizer, PPD, and C3i.

 



oracle20723
The Role of Analytics in Transforming Healthcare
Sponsored by Oracle

Sharing many of the data challenges and opportunities faced by Healthcare, the Life Sciences industry remains focused on delivering new, innovative therapies and solutions to patients in a cost effective, timely and safe way. With spiraling R&D costs, new methods such as adaptive trials, and never ending need for deep pharmacovigilance, the Life Sciences companies that effectively use analytics to explore, monitor and optimize their business will rapidly become the new leaders.

Oracle’s strategy—built upon Enterprise Health Analytics and Health Data Warehouse Foundation—provides a powerful, practical, and extensible approach to delivering the IT analytics infrastructure required to confront the worldwide healthcare challenge.



pegasystems
BPM-Based Case Management Approach to Optimizing Clinical Trial Efficiency
Sponsored by Pegasystems

Business Process Management (BPM) software offers liberation in the planning and management of clinical trials today. SmartBPM provides the components for automating critical clinical trial processes ranging from protocol development and patient enrollment to site management and investigator payments. Advantages are:

  • Potentially stunning return on investment at multiple levels.
  • A 500%, or better, increase in application development time by directly executing business requirements
  • Improved customer retention
  • A 50% possible reduction in training time

Discovered is opportunity to enhance relationships with investigators, subjects, and regulators while bringing momentum to a technology-impaired study startup phase. Learn more about SmartBPM in this complimentary white paper.



Life Science Webcasts & Podcasts

Bio-IT World & CHI

Impact of the 1000 Genomes Project on the Next Wave of Pharmacogenomic Discovery
1000genomeInterview with M. Eileen Dolan, Ph.D., Professor, Medicine, University of Chicago and Speaker at Next-Generation Sequencing Data Management, September 27-29, 2010, Providence, RI  

The 1000 Genomes Project aims to provide detailed genetic variation data on >1000 genomes from worldwide populations using the next-generation sequencing technologies. Some of the samples utilized for the 1000 Genomes Project are the International Hap-Map samples that are composed of lymphoblastoid cell lines (LCLs) derived from individuals of different world populations. The detailed map of human genetic variation promised by the 1000 Genomes project will allow a more in-depth analysis of the contribution of genetic variation to drug response. Future studies utilizing this new resource can greatly enhance our understanding of the genetic basis of drug response and other complex traits.


Download Now 



More Podcasts

Job Openings

mskc logo
Software Engineer – Computational Biology Center

Memorial Sloan-Kettering Cancer Center seeks an Engineer to design and develop complex data analysis systems in support of cancer genomics research projects at the Computational Biology Center. Qualified candidate will have a BA, 5+ years of software development experience and expert knowledge of Java, SQL, and HTML.

Apply: www.mskcciscareers.org.  Equal opportunity and affirmative action employer.




Loading...

For reprints and/or copyright permission, please contact The YGS Group, 3650 West Market Street, York, PA;

(717) 505-9701 ext. 125, or via email to Ashley.Zander@theYGSgroup.com.