|
|
|
May 9, 2003 | Estimating the costs of clinical trials — and the price of paper — is difficult. That's because a trial may have one patient or 10,000. But Fast Track Systems of San Mateo, Calif., has some of the best data in the industry, acquired directly from major companies sponsoring clinical trials.
Once the facts from many companies have been aggregated, the Fast Track databases and applications are used by trial sponsors to manage costs and bargain with clinical sites. These figures are an estimate of the trial-related costs of one drug, tested in 35 clinical trials and submitted to the FDA for approval. Fast Track does not specifically analyze EDC, but several of these expenses could be affected by more efficient capture, cleaning, and management of clinical data.
Investigator fees
4,000 patients @ $6,000/patient
$24,000,000
Project management
35 projects over 7 years
$12,100,000
Site setup, monitoring, and closing
400 sites x 20 visits x $1,500/visit
$12,000,000
Case report forms
400,000 forms to enter, clean @ $10/page
$4,000,000
Lab tests
4,000 patients x 6 visits x $80/visit
$1,900,000
Site management
400 sites managed for 1 year each @ $4,250/site
$1,700,000
Study protocols, statistical analysis
$2,700,000
Total Cost = $58,400,000
Source: Fast Track Systems
Back to Data Rapture?
Managing the Modern Genomics Data Flood Managing and storing the perfect storm of multi-disciplined data pouring from next generation sequencers and other omics instruments is a central challenge in life sciences. Discover in this paper how the SGI ArcFiniti storage solution, optimized for unstructured genomics and life sciences data can: - Reduce costs, proactively protect data integrity, and deliver the high performance I/O required for genomics data processing and analysis.
- Effectively manage capacities from 156TB to 1.4PB as a disk based, integrated hardware and software platform
Turning Genomics Data into Practical Insight With worldwide sequencing capacity approaching 13 quadrillion DNA bases annually turning genomics data into knowledge is a true computational challenge. Read this paper and learn how the SGI UV coherent shared memory platform can: - Speed results time while cost competitively tackling the most difficult computational problems across all omics disciplines.
- Push performance by scaling to extraordinary levels, up to 256 sockets (2,560 cores, 4,096 threads) per single system (one OS image).
Provide support for up to 16TB of coherent shared memory in a single system image enabling extreme efficiency across a wide range of compute demands.
New Complimentary Market Survey… Collaborations and Communications Within Drug Discovery Research This survey was conducted by the Cambridge Healthtech Media Group in January, 2012. It was sponsored by Accelrys related to their HEOS initiative to gather valid information around externalizing collaborative research while improving communications in the cloud. With 310 qualified industry respondents the survey findings reveal useful usage and trends patterns. An insightful follow-on discussion and webinar related to this survey, and the HEOS by Scynexis SaaS portal is also available on the Bio-IT World website for complementary viewing.
Early Access Collaborations ManagersClick here to find out more and apply
Oxford Nanopore's GridION technology, VP, Sales and Marketing Click to Apply
|
|
|