Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Paul Cerrato

Overworked EHR Vendors Not Big On Tech Support

Don't expect much help after signing on the dotted line for a new electronic help record system. EHR vendors' resources are stretched thin as they struggle to meet demand, and you'll have to find ways to fill the inevitable gaps in support and employee training.

12 EHR Vendors That Stand Out
12 EHR Vendors That Stand Out
(click image for larger view and for slideshow)
At InformationWeek Healthcare's recent virtual event, Electronic Health Records: Moving Beyond The Basics, Mark Wagner, senior research director for KLAS, a health IT advisory firm, shared the expectations of many healthcare providers looking to purchase an electronic health record system. One clinician's demands summed up the thoughts of many:

"I want a system that can be customized but that doesn't take an IT expert to do it. I want a system that meets meaningful use and has a PM [practice management] system to accompany it. I would love a system that meshes with our specialty without having to modify it too much. Lastly, I want an affordable system that keeps up with all the mandates pushed on our specialty and yet does not slow down our productivity."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In an ideal world, that system would exist, but there's the dream and then there's reality, Wagner says. And the reality is that compromises have to be made, especially in today's market where EHR vendors are so busy selling systems that they barely have time to support the ones they've installed, much less create a platform that meets all your needs.

[ For more background on e-prescribing tools, see 6 E-Prescribing Vendors To Watch. ]

There are more than 600 EHRs that are certified to meet the Centers for Medicare and Medicaid Services' Meaningful Use financial incentives. Finding the right vendor in this maze of confusing options requires an appreciation for these market conditions.

To begin with, there's a good chance the vendor you choose is going to say: We'll put you on our list and get back to you in eight months. Some vendors might be able to install the system immediately but then will move onto their 100 other customers, leaving you to fend for yourself with staff training and tech support. In this environment, expecting a vendor to provide the ideal system--that's fully customizable, effortlessly meets all the MU requirements, meshes with all your specialists' needs, is affordable, and doesn't affect staff productivity--isn't in the cards.

Vendor resources are stretched too thin to make that happen. And with accountable care and ICD 10 on the horizon, the need for sophisticated EHR systems will only escalate. How does a healthcare provider cope?

The most successful medical practices don't rely solely on their EHR vendors. They supplement the EHR vendor's resources with competent staff of their own, sometimes with the help of a third party, to fill the gaps, Wagner said.

And the most successful providers accept the fact that EHR implementation will inevitably affect physician productivity, at least at the onset. Be prepared for the hurricane.

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.