Posts Tagged ‘Oracle Data Management Workbench’

Top 5 Pharma & Medical Device Blog Posts From August 2017

Now that September 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 August – they’re ranked in order of popularity, with number one being the most viewed piece. What The FDA Requires Of […]

Oracle Data Management Workbench Overview And Use Cases

This Thursday, Perficient is hosting a webinar on Oracle Data Management Workbench (DMW) alongside Oracle, one of our most valued partners. From Perficient, we’ll have Prabha Ranganathan, the director of clinical data warehousing and analytics, and from Oracle, we’ll have Srinivas Karri, the director of product strategy for DMW. Yesterday, I got a sneak peek […]

Top 5 Life Sciences Blog Posts From February 2017

Now that March 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 February – they’re ranked in order of popularity, with number one being the most viewed piece. How And Why I Use Oracle VM […]

Identifying New Or Changed Data During A Clinical Data Review

In my previous post, we discussed some examples of business rules that might be applied depending on how many people are performing a clinical data review. Today, we’ll discuss approaches for selecting the data that is being reviewed. In any data review that occurs multiple times during the course of a study there are two […]

Reviewing Clinical Data With Value Added And External Data

In my last post, I discussed performing a clinical data review in Oracle’s Data Management Workbench, which takes value added data into consideration. Today, we’ll take it a step further and add external data into the mix. This scenario extends the data available for review by including data from external partners who may be managing […]

Leveraging Value Added Data For Clinical Data Review In DMW

In my previous post, we discussed a simple scenario for reviewing clinical data cleanliness in Oracle’s Data Management Workbench. Today, we’ll discuss a similar process, although this scenario leverages value added data. Establishing value added data is another way to help the clinician to more quickly review the data and spot outliers and questionable data. […]