Knowledgent and Hortonworks have jointly authored a new white paper entitled “Hadoop for Health Insurance: Driving Innovation in Data and Analytics”. Continue reading White Paper with Hortonworks- Hadoop for Health Insurance: Driving Innovation in Data and Analytics
The future of the healthcare industry rests in the promise of collecting, analyzing and taking action on the output of larger amounts of information. Through the advancements in big data, machine learning and advanced analytics, healthcare organizations can leverage and manipulate data to improve overall member health, reduce costs, improve quality and manage clinical and financial risk. Continue reading Hadoop for Health Insurance
As a follow up to our white paper, “Risk Scoring: Big Data and Advanced Analytics Further Evolve the Healthcare Model”, Knowledgent announces our latest infographic “Improve Healthcare Risk Scoring Analytics through Hadoop”. Continue reading Infographic: Improve Healthcare Risk Scoring Analytics Through Hadoop
Healthcare providers are facing an increasingly complex operational landscape. To remain competitive, they need to leverage the data at their disposal to improve patient outcomes, reduce readmissions, and provide high quality standards of care – all while controlling costs.
At Knowledgent, we’re helping our clients achieve this aim through groundbreaking projects that involve generating Unified Patient Records (UPRs) to facilitate analytics and promote a more individualized view of the patient. The creation of UPRs is necessary because good database design requires normalized data. In database parlance, this means that different kinds of information are stored in different tables so repetition is avoided and records cannot become contradictory. Continue reading Accelerating Patient-Centric Analytics with Unified Patient Records
You have invested in Master Data Management and are now reaping the benefits of MDM in your enterprise. This is great, but what do you do now? You may not have even thought about your MDM platform for a while.
Here are some reasons that you may want to review it, and see if an upgrade to your existing software is in your future: Continue reading When and Why to Consider MDM Upgrades
Our client, a global biotechnology organization, was struggling to perform basic-level analysis and script analysis. They also needed to build patient timelines to understand treatment pathways and disease progression across their product portfolio and areas of interest.
To accomplish these goals, they wanted to use big data analytics to leverage real-world evidence and observational medical outcome information. The insights gleaned from this data would support commercial and clinical operations, medical affairs and, ultimately, expand coverage to drug safety (and resource and learning development). Continue reading Case Study: How a Global BioTech Organization Leveraged RWE to Enhance Commercial and Clinical Operations
Chris Blotto, Knowledgent Informationist, will be presenting at the upcoming Bio IT World 2015 taking place at the Seaport World Trade Center in Boston, MA from April 21-23.
This event provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process.
As part of our commitment to delivering the best value to clients by leveraging a wide variety of platforms and technologies, we’ve recently partnered with Novetta, a leader in advanced analytics technology.
In this guest post, the first in a three-part series, Novetta Director of Product Management Jenn Reed discusses the challenges of combining data from multiple internal sources in Hadoop. Continue reading Hadoop Analytics: Not So Easy Across Multiple Data Sources
Last week Microsoft announced that it acquired Revolution Analytics to “help customers find big data value with advanced statistical analysis.”
In my view, this is an excellent move. R is one of the most popular software packages around. It’s very much a part of the Big Data phenomenon, used heavily for machine learning and predictive analytics. Continue reading What Microsoft’s Acquisition of Revolution Analytics Means for Big Data
Enterprise Data Warehousing (EDW) has been a mainstay of many major corporations for the last 20 years. However, with the tremendous growth of data (doubling every two years), the capacities of enterprise data warehouses are being exhausted. Load processing windows are similarly being maxed out, adversely affecting service and threatening the delivery of critical business insights. The need to store infrequently used, “just in case” data exacerbates this challenge by taking up (expensive) capacity.
So how can organizations tackle this challenge? The answer lies in Hadoop. Continue reading Why You Should Offload Your Data Warehouse to Hadoop