Last week was clearly busy for Oracle. I attended three online events to learn more about Clinical One as the Data Collection capabilities were launched. Oracle revealed that Clinical One Data Collection will: Save time: Build a study in weeks instead of months; make mid–study changes in real time; deploy them in minutes without any cost Harmonize data: Eliminate inconsistent, incompatible, incomplete, missing, and duplicated data […]
“A journey of a thousand miles begins with a single step.” Lao Tzu, Chinese philosopher Over the next few months, I am going to learn about Clinical One and what it could do for you. If you are interested in learning more about Oracle Health Sciences Clinical One Cloud Service and how it could change […]
Perficient is sponsoring Oracle Industry Connect April 10-11 in New York City, and we would like our valued clients to be there. Several key representatives from our life sciences practice will be available to discuss any of your ongoing or upcoming initiatives. Mike Grossman, General Manager Dennis Dougherty, Business Development Executive Rudolf Coetzee, Business Development […]
Now that January is here, I thought it would be neat to look back at what our readers found most interesting last month. Below are the top five blog posts Perficient’s life sciences practice wrote in December – they’re ranked in order of popularity, with number one being the most viewed piece. Shared Investigator Platform (SIP) Struggles […]
There are a number of essential technical considerations that should be evaluated when migrating clinical studies from one database to another. Is the target database new or does the incoming data need to be “merged” into an existing database? What if the source application has been customized? What obstacles can be expected? Where does regulatory […]
Migrating clinical studies from one database to another (such as Oracle Clinical to Oracle Clinical or Oracle Clinical to Oracle InForm or Medidata Rave), is a complex process that requires a thorough understanding of clinical data management, technology, and the regulations that govern clinical trials. Join me and my colleague, Richard Gavan, for an informational webinar […]
When it comes to clinical trials, the consequences of bad data can be severe. Research and development becomes complicated and lives can be put at risk. The need for clean clinical data is critical for comprehensive reporting and analysis, ultimately enabling safer drugs and devices to be brought to market faster. Join us this Thursday […]
Then we’ve got a special webinar, just for you. On July 21, we will be having a fireside chat with our client, Alliance Foundation Trials (AFT), a research organization that develops and conducts cancer clinical trials. The chat will include a few presentation slides, so that you’re not looking at a blank screen, but much […]
We’ve talked a lot in this blog about the use of electronic health records (EHRs) in clinical trials. Recently, my colleague wrote about it on our healthcare blog, so, I thought I would share her post with my pharma and CRO friends. While our previous posts focused on the use of EHR for subject recruitment […]
According to an article in Clinical Leader that featured Bayer Healthcare’s VP Global Strategy & Development Advisor, by evaluating certain criteria against patient populations, electronic health record (EHR) systems can help sponsors determine trial feasibility and shape better study protocols. This can reduce the number of amendments, which can cost anywhere from $300,000 to […]
Last year, I wrote about Proteus, the company behind the FDA-cleared ingestible sensor that helps monitor patients’ adherence to medication. At that time, the company was running clinical trials in the US, whereas in 2012, the company’s platform was already deployed in the UK.
In an article from Clinical Leader, Chief Editor, Ed Miseta, and Bayer Healthcare’s VP Global Strategy & Development Advisor, Johann Proeve, discuss using electronic health record (EHR) and electronic data capture (EDC) systems to lower the overall costs of running clinical trials.