Slideshows

6 HIE Vendors: How They Measure Up

Michelle McNickle November 26, 2012 09:06 AM Not all health information exchanges have successfully bridged the interoperability gap. A recent KLAS report on HIE vendors evaluated how well they deliver on their promises.

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Next Page »

E-mail
Share

dbMotion Solution

According to KLAS, dbMotion is "winning clients on a platform designed for data aggregation and analytic reporting." Scores from a few live sites had been positive, but, the report continued, only a few have fully implemented the platform. Clients are excited about the "innovative" technology and described the application as easy to use. The tool can also take significant time to normalize multiple EMR vendors' data, and some clients felt support is insufficient once they go live with the HIE. One client said dbMotion is "trying" and has a good product, but the vendor's implementation services and after-install support "left them wanting… [T]heir product is newer technology, so we are early in the adoption curve, and dbMotion's project implementation techniques are not good."

Recommended Reading:

EHR Vendor Promotes Standards-Based Interoperability

Interoperability: Quick Route to Better Care

EHRs Among Today's Top Health IT Hazards

National Health Information Exchange: Why The Delay?

PatientKeeper Demos Medical System Interoperability

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | Next Page »

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

SaS

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.