Posts Tagged ‘data warehousing’

What comes to mind when you hear the word “Odyssey?” Did you picture a journey filled with international discovery? Did you associate images of a quest filled with notable experiences? Or, did you think of OHDSI (pronounced “Odyssey”), the “multi-stakeholder, interdisciplinary collaborative that is striving to bring out the value of observational health data through […]

As was mentioned in a previous post, providing an easy-to-use interface is important for data review, including filtering, audit data, and User Review Action buttons. The user actions buttons initiate recording that all, or a portion, of a review has been performed. In the previous section, we mentioned a Review Timestamp, which is one of […]

In my last blog post, I presented some thoughts on showing data changed since last review. Today, we will concentrate on the level of scrutiny and what happens when recording the user actions in the review. Not all data may require the same level of scrutiny during a review. Additional focus may need to be […]

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 […]

We are well into the transformation of healthcare from a fee-for-service model to one based on outcomes. There has been a lot of buzz in the industry around population health management and an increasing interest in precision medicine. We talk about the need to control costs as margins continue to erode and the need to […]

  Earlier this year, I highlighted how Penn Medicine is leveraging IT to support their patient care and precision medicine programs. Several weeks ago, Oracle and Penn Medicine held a joint webinar in which the academic medical center discussed their overall IT landscape. 

  On October 15, 2015, my colleague, Kathryn Hanson, presented a webinar on the topic of clinical data warehousing. She provided a high-level overview of the challenges that life sciences companies face when it comes to technology, in particular with the acquisition and management of data (e.g., patient/subject, trial management, safety) from different systems and […]

  Last week, I attended a webinar that showcased the results of a study on the adoption of clinical trial software in life sciences. The study was conducted by a working group led by the Tufts Center for the Study of Drug Development, CDISC, and Oracle Health Sciences, and the results reiterated what we already […]

  And that was just this past year. So, I think it’s fair to say that Oracle’s software is the cream of the crop in the life sciences and healthcare industries. According to a press release issued by the company, close to 100 life sciences companies have signed on to use Oracle’s clinical and safety […]

  As long as you have the experience listed in the job descriptions. But, to put it simply, if you’ve worked in the life sciences industry, you’re already ahead of the game. Check out the job openings we have on our life sciences team and apply if you’re interested. We’ll keep your application secret. Promise. […]

  It’s not uncommon for sponsors and CROs to perform version upgrades on their clinical and safety systems or move away from certain ones altogether. They’ve been doing it for years. But why, when it impacts so many different parts of a company, both operationally and financially? The answer is relatively simple: Because what’s at […]

As a healthcare organization, being able to easily locate and capture information is critical when it comes to providing quality patient care and maintaining the financial health of the business. For accountable care organizations (ACOs), managing population health successfully requires the gathering of insights that comes only from a combination of data – data from […]