Big Data. Big Decisions
InformationWeek
Special Coverage Series


EHR Maker Greenway Files For $100 Million IPO

Analyst says stock offering could be successful, based on Greenway's rapid growth and the quality of its electronic health record product.

12 Innovative Mobile Healthcare Apps
(click image for larger view)
Slideshow: 12 Innovative Mobile Healthcare Apps
Reflecting the growing demand for electronic health records, Greenway Medical Technologies, a medium-sized vendor of ambulatory-care EHRs, has filed for an initial public offering of $100 million in stock.

Greenway, based in Carrolton, Ga., has been in existence for 13 years. In 2010, it earned nearly $2.9 million on $64.6 million in revenue, according to its prospectus. The previous year, Greenway had net income of $955,000 on revenue of $48.7 million.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Greenway claims that 33,000 providers use its product line. Besides EHRs, the company supplies practice management systems, provider and patient portals, and mobile applications. Its EHRs are designed for primary care and a broad range of specialties, including obstetrics and gynecology, pulmonary medicine, ophthalmology, cardiology, and surgical specialties.

David Larsen, an analyst with Leerink Swann in Boston, believes that Greenway's IPO might be very successful. "The company's growing their top line 30%-plus per year, so they're probably go to be breaking $100 million in revenue pretty soon," he said. "Number two, you're at the beginning of the stimulus [incentive] program, and the [electronic medical record] penetration rate in physician practices is only about 20%. So they've got to buy a solution, and that's driving a lot of demand. Number three, Greenway has a high-quality product. When you're talking about EMRs, the quality and integrity of the product code is what matters."

Several of Greenway's competitors offer both inpatient and ambulatory-care EHRs, and a few of them--notably, products from Allscripts and Epic--are well accepted in both hospitals and physician offices. But Larsen doesn't think this is a drawback for Greenway's IPO.

"Investors will be focused on the growth rates in revenues and earnings," he noted. "If there are 700,000 doctors in the U.S. and 550,000 are in offices in the community, you have a pretty large market, even if you exclude hospital-based physicians. So you don't have to conquer the world to defend a 30%-top-line growth rate. If you can grow by 30% for a couple of years, I think the stock will work."

Hundreds of vendors provide EHRs, and some observers expect there will be a shakeout in their ranks as the government increases its requirements in stages 2 and 3 of Meaningful Use. Larsen agrees, and he thinks that will benefit Greenway, because it has developed a high-quality product that is on the approved lists of most regional extension centers that help doctors choose and implement EHRs.

The investment firms shepherding the Greenway IPO include J.P. Morgan Securities, Morgan Stanley, and William Blair & Company.

Other health IT vendors that have gone public in recent years include Allscripts and Athenahealth. NextGen, Cerner, McKesson, GE, Sage Software, and Optuminsight (formerly Ingenix) are other public companies or units of public firms that make EHRs. Among market leaders, the most notable exception is Epic Systems, which remains privately held.

In the new, all-digital InformationWeek Healthcare: iPads are leading a new wave of devices into the exam room. Are security, tech support, and infection control up to the task? Download it now. (Free registration required.)



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.