Tag Archives: Roger Connolly

Milliman MedInsight picks Microsoft Analytics Platform System to boost performance and efficiency

Milliman announced that its MedInsight® product team has chosen Microsoft’s Analytic Platform System (APS) for its next generation MedInsight release later in 2014. This important technical decision comes after a formal proof of concept that resulted in significant gains in system performance, data loading and refresh cycle times, and data storage.

MedInsight is Milliman’s popular healthcare analytic platform used by hundreds of health plans, employers, at-risk providers/accountable care organizations (ACOs), state governments, community health coalitions, and third-party administrators. Consistently recognized for its superior data integration and warehousing capabilities, the MedInsight business has tripled in size since 2009 and is committed to advancing performance and functionality.

In recent years, the MedInsight team has taken on more complex clients including state all-payor claims database initiatives and large healthcare entities with massive volumes of data. The level of sophistication for analytic requirements has also grown; the types of querying routinely performed by clients have become elaborate and sometimes complicated. This market development—huge amounts of data combined with complex query needs—is one key reason why Milliman’s MedInsight team decided that it needed to augment and strengthen the core infrastructure.

Healthcare entities generate significant amounts of data every day. Clients depend on their analytic systems to turn raw data into business intelligence, all while accommodating their growing needs.

“We’re very pleased that Milliman selected Microsoft’s Analytics Platform System appliance to power their MedInsight application. These types of data-intensive and complex big data challenges are what we designed the Analytics Platform System to support and are looking forward to our joint customers reaping benefits from the solution,” said Eron Kelly, General Manager SQL Server Marketing at Microsoft.

Milliman’s MedInsight team has always been a leader in turnaround time for the typical monthly refresh cycle of data. “APS is a proven, integrated technology that optimizes the relationship between SQL Server software, inexpensive storage, compute resources, and data channels in a massively parallel processing environment,” said Roger Connolly, Milliman principal and Director of Product Development at MedInsight. “We expect client data refresh time to be reduced by as much as 75%, data retrieval time by as much as 90%, while simultaneously improving our long-term storage cost trajectory.”

For more information about Milliman’s MedInsight products, go to http://www.medinsight.milliman.com.

Does the proximity of IT firms influence the cost of EMR?

The National Bureau of Economic Research published a new paper (payment may be required) examining the “relationship between the adoption of electronic medical records (EMR) and hospital operating costs at thousands of US hospitals between 1996 and 2009.”

Here is an excerpt from the study’s abstract:

We find evidence consistent with this approach, namely, that: (1) EMR adoption is initially associated with a rise in costs; (2) EMR adoption at hospitals in favorable conditions – such as urban locations – leads to a decrease in costs after three years; and (3) Hospitals in unfavorable conditions experience a sharp increase in costs even after six years.

“Unfavorable conditions” include greater distance from information technology hubs, meaning that rural hospitals are less likely to see a short-term return on their EMR/EHR investment.

Today’s most competitive healthcare organizations are data-driven. Brian Studebaker and Roger Connolly provide perspective into innovative business intelligence (BI)—the process of turning data into actionable information… Read their paper on getting a return on investment out of business intelligence here.

Click on electronic health records for more insights.

Get better ROI from your business intelligence

Business intelligence (BI)—the process of turning data into actionable information—is a critical capability in the healthcare industry. Business intelligence enables healthcare entities to measure, analyze, and improve across multiple areas of organizational performance.

Most healthcare entities have a business intelligence strategy, but many struggle to get the greatest value from their clinical, operational, and financial data. They may have robust data and the tools for analytic enhancement, but without an interface that facilitates data sharing across departments and job roles and an enterprise-wide commitment to integrating data with business process, they are in effect leaving money on the table. Today’s most competitive healthcare organizations are data-driven.

This paper provides insight into innovative business intelligence in healthcare and steps that an organization can take to get a better return on investment (ROI) from its data.