Big Data. Big Decisions
InformationWeek
Special Coverage Series


VA Contract Could Spur RTLS Tech Adoption

HP, Intelligent Insites, WaveMark among vendors contracted to implement electronic tracking solutions throughout VA system.

 7 Big Data Solutions Try To Reshape Healthcare
7 Big Data Solutions Try To Reshape Healthcare
(click image for larger view and for slideshow)
The Department of Veterans Affairs (VA) has contracted with HP Enterprise Services to provide a real-time location system (RTLS) in 152 medical centers and seven outpatient pharmacy facilities to help identify, locate and monitor assets and supplies within and between facilities.

The five-year contract, which is worth up to $543 million, will be a shot in the arm for the RTLS sector. Currently, RTLS is deployed in 10% - 15% of U.S. hospitals.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Under the VA contract, HP will supply program management, operations planning, implementation management, hardware and software and site readiness preparation. HP is subcontracting to Centrak, Intelligent Insites, WaveMark, and other firms for development, integration, implementation, testing, training and support functions, an HP announcement said.

Intelligent Insites will provide the enterprise-wide RTLS solution, according to a press release from that company. Its RTLS system, which will integrate with the VA's VistA EHR, will automatically collect data from RTLS and RFID tags on VA medical equipment, surgical instruments and supplies.

[ Unsolved healthcare problems mean IT in this sector should continue to grow. Read Health IT Bubble Is No Bubble At All. ]

Among the initial purposes of this deployment are asset management, cath lab supply management, sterile processing workflow, and automated temperature monitoring, the Intelligent Insites announcement said. Future use cases include patient wander management, hand hygiene monitoring, emergency department workflow and operating room workflow.

WaveMark will provide an asset tracking solution for the VA's cardiac catheterization and electrophysiology labs, the company said. WaveMark noted that its application is already being used to track supplies in those labs in the Ann Arbor and Detroit, Mich., VA Medical Centers, and will be expanded to 70 hospital catheterization labs in the VA system over the next five years.

The company also pointed out that some manufacturers are beginning to apply RFID tags to their products before they are shipped to the VA, "which greatly simplifies the receiving process." This comment hints at some big challenges ahead until all VA suppliers ship their products with RFID tags.

The VA tested the potential of RTLS by introducing the technology in seven of its hospitals in Indiana, Illinois and Michigan, starting last August. HP and Intelligent Insites were involved in that deployment.

An article in Healthcare IT News quotes Marcus Ruark, vice president of marketing for Intelligent Insites, as saying that the VA's decision to roll out RTLS to all of its hospitals could spur more sales in the private sector. "When we talk to commercial hospitals about what the VA is doing, they get very interested," he said.

A survey by KLAS Research showed that in late 2011, between 10% and 15% of U.S. hospitals were using RTLS. Nearly all of the 150 responding facilities, which ranged from very small to very large hospitals, said they had derived operational efficiency gains from their use of RTLS. However, report author Steve VanWagenen cautioned, "Not all RTLS deployments are created equal. Much of a facility's success with RTLS depends on the breadth of the deployment, the variety of ways RTLS is being used and the level of integration between RTLS and other solutions."

The KLAS report noted that 75% of hospitals using RTLS found that it improved equipment utilization and staff efficiency. Other benefits included better documentation, improved alerts and reporting and the ability to save time by locating assets quickly.

As large healthcare providers test the limits, many smaller groups question the value. Also in the new, all-digital Big Data Analytics issue of InformationWeek Healthcare: Ask these six questions about natural language processing before you buy. (Free with registration.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

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?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

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

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

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

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

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

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

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.