Life sciences organizations typically manage their IT infrastructure and applications in silos. They implement disparate applications and manage the content and process within those applications separately. They then deploy integrations between those applications to streamline processes and share content and data with different business areas. Much of this work, including the development of integration tools […]
Posts Tagged ‘Data Review’
Artificial Intelligence: Success Criteria in Life Sciences
Previously, I dove into how artificial intelligence helps review, and provide statistical analysis to data. The final blog of this series outlines how to be successful with an artificial intelligence implementation. Setting initial expectations and not promising a magic bullet is a key factor in determining the success of an initiative that focuses on deploying […]
AI Helps Search, Confidence Scores, and Data Review
Previously, I analyzed clinical data review platforms. This blog explains how artificial intelligence assists search, confidence scores, and data reviews. Search Data managers and reviewers log in to clinical data review platforms (CDRP), and slice and dice the data they want in order to review for missing, wrong, or inaccurate data. If they can search […]
Using Oracle DMW To Solve Clinical Data Review Challenges
In part one of this two-part blog series, we outlined a number of challenges that organizations face with clinical data reviews. In today’s post, part two of the series, we’ll take a look at how Oracle Health Sciences Data Management Workbench (DMW) can be used to tackle those challenges. DATA MANAGEMENT WORKBENCH (DMW) OVERVIEW When […]
Key Challenges Our Clients Face With Clinical Data Review
When it comes to clinical trials, bad data can result in severe consequences. Research and development can become more complicated and lives can be put at risk. Clean clinical data is critical for accurate analysis and reporting, ultimately enabling safer drugs and devices to be brought to market faster. In this two-part blog series, we’ll […]
Importance Of User Interface Design When Reviewing Clinical Data
In the previous post, I talked about varying levels of scrutiny for data review and what happens when recording the user actions. In this post, I will talk about the importance of the user interface for a review. Successfully navigating requirements, design, development, testing, user acceptance and ongoing support of any application requires user involvement […]
A Cleanse That’s Good For Your Clinical Data
Oracle recently created a short video that explains what Data Management Workbench (DMW) is all about. In short, DMW is an application that is part of Oracle’s clinical data warehousing suite that’s designed to combine data from various data sources and third-party providers, and transform it into standard data models. In addition to the […]