Big Data. Big Decisions
InformationWeek
Special Coverage Series


EHR Implementation Still Costs Too Much

Even with the federal government's EHR incentives, many hospitals continue to fret about costs, according to recent KPMG poll.

11 Super Mobile Medical Apps
11 Super Mobile Medical Apps
(click image for larger view and for slideshow)
Hospitals have always had problems securing the initial down payment for electronic health record (EHR) implementation; a recently released poll from KPMG suggests that financing such projects remains an ongoing concern that promises to last throughout the implementation phase and beyond.

The recently released results of a May poll that surveyed more than 220 hospital and health system administrators found that while 49% of respondents are more than halfway to completing full EHR implementation, 48% of those polled said they are only somewhat comfortable with the level of budgeting their organization planned for EHR deployment. Nine percent said they weren't comfortable at all with their budget plans, while 18% said they were unsure. On the positive side, 25% said they were very comfortable with the funding they had for their EHR implementation project.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

With the majority of those polled expressing some level of discomfort about how they will pay for their project moving forward, Gary Anthony, principal with KPMG Healthcare, said the poll findings suggest that healthcare executives miscalculated the costs of their EHR projects.

"Organizations underestimated the impact and the effort required to fully implement an EHR. They also underestimated just how transformative this would be to their organization as a whole," Anthony said in an interview with InformationWeek Healthcare. "This is the largest, most significant investment that a health delivery organization will go through. EHRs touch and change everything within the organization, and so I think [there's been] a lack of experience and a lack of understanding about the magnitude of the effort."

[ Is it time to re-engineer your clinical decision support system? See 10 Innovative Clinical Decision Support Programs. ]

According to Anthony, recent reports that Duke University will spend $700 million to implement its EPIC EHR indicates the staggering costs of an EHR implementation project. He also said these projects are associated with maintaining and storing additional terabytes of data and providing security capabilities that adhere to Health Insurance Portability and Accountability Act (HIPAA) requirements. Additional costs come with maintaining a robust network that allows doctors and other clinicians to access the data remotely on their iPads or smartphones.

The demand for skilled health IT professionals also impacts the way health delivery organizations are developing a strategy for EHR deployment. The poll shows that 46% of hospital and health system leaders indicated that they are using a multiple-resource strategy--a mix of using existing staff, hiring additional staffers with new skills, or engaging consulting services. Sixteen percent of respondents said they were leveraging existing staff, while 13% said they will hire additional staff, and 10% said they will secure third-party assistance. Anthony said clinical informatics workers who know specific EHR systems from vendors like EPIC or Cerner, and who are also capable of implementing EHRs in areas such as emergency departments or operating rooms, are in short supply. Anthony estimates that salaries for employees with health IT skills have risen substantially during the last two years, which also drives up implementation cost.

"There is a lack of skills in most health organizations around high-level project management disciplines. It's difficult to find people who know how to manage these very large-scale projects across the organization and who will implement the project on time and on budget," Anthony said.

Get the new, all-digital Healthcare CIO 25 issue of InformationWeek Healthcare. It's our second annual honor roll of the health IT leaders driving healthcare's transformation. (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.