Big Data. Big Decisions
InformationWeek
Special Coverage Series


Feds Fork Over $7 Billion In EHR Payments

Centers for Medicare and Medicaid Services doles out $7.7 billion in incentive payments so far -- while experts remind that the ultimate goal is better patient care.

10 Wearable Health Gadgets
10 Wearable Health Gadgets
(click image for larger view and for slideshow)
The federal government paid out $7.7 billion as of the end September in incentive payments to those participating in the federal electronic health record incentive programs, according to recent data released by the Centers for Medicare and Medicaid Services (CMS).

It's estimated that the agency will make payments totaling $27 billion to the 300,000 physicians and other eligible professionals participating in the program, as well as the 4,000 hospitals that have enrolled in the Medicare EHR incentive program, the Medicaid incentive program, or both.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

According to the CMS report, as of September, approximately 303,072 physicians opted to participate in the two programs, which indicates a 7% jump in total enrollment. Of the 303,072 physicians, 208,331 chose to participate in the program administered through Medicare, while 94,741 have enrolled in the Medicaid program.

[ For the latest development on Meaningful Use, see Meaningful Use Stage 2 Rules Finalized. ]

Throughout September, 4,057 hospitals have registered, showing another 2% increase since August. According to CMS, it paid 82, 535 physicians and other eligible professionals $1.4 billion in incentive money under the Medicare EHR program, while 60,208 of their peers collected $1.2 billion in Medicaid EHR dollars.

Currently the two programs have made 4,211 payments to 3,044 hospitals totaling $4.9 billion. Nearly $2.6 billion has been paid through Medicare and approximately $2.3 billion paid through Medicaid. According to CMS, the number of hospital payments can exceed the number of hospitals enrolled because hospitals can receive payments under both Medicare and Medicaid.

Approximately a year ago, only 3,700 physicians had reported participating in Meaningful Use, proving that providers, including early adopters, would find it difficult to attest. Of the first healthcare providers to receive these payments, though, approximately half had been using EHRs for several years prior to the government program. Although some questioned the effectiveness of the incentive program as a result of these findings, experts concluded the program isn't designed to reward those who purchase the technology, but is instead intended to move doctors and hospitals to an electronic infrastructure to provide better care.

Experts also concluded a year ago it's "nonsensical" to suppose early adopters would cause the government to run out of money and therefore not provide payments to physicians who buy EHRs. As of October 2011, CMS' projection of money spent in incentive payments stood between $14 billion and $27 billion, putting the program's intentions on target.

InformationWeek Healthcare brought together eight top IT execs to discuss BYOD, Meaningful Use, accountable care, and other contentious issues. Also in the new, all-digital CIO Roundtable issue: Why use IT systems to help cut medical costs if physicians ignore the cost of the care they provide? (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.