Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Rebecca Armato

Rebecca Armato



For Doctors, EHR Adoption Isn't A Spectator Sport

Selecting and adopting an electronic health records system is critical to the health of a physician's practice.

InformationWeek Healthcare Feb 2011 InformationWeek Green
Download the entire February 2011 issue of InformationWeek Healthcare, distributed in an all-digital format (registration required). (Registration required.)
We will plant a tree
for each of the first 5,000 downloads.

Just as the right medical treatment is critical to a patient's health, the right approach to selecting and adopting an electronic health records system is critical to the health, and even survival, of a physician's practice. And it's not just about the technology.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Big problems can come from making the wrong EHR choice for the wrong reasons, and from expecting a software vendor to successfully implement an EHR system without the engagement of the practice's physicians. Those problems will cost much more than the federal stimulus funds being offered to encourage physicians to implement EHRs.

For physician practices, EHR selection and adoption isn't a spectator sport: Doctors must be actively engaged. They must focus on evaluating features that support patient quality, safety, outcomes, privacy, and security. But they also must insist on features that improve the efficiency and viability of their practices.

We've been working with the independent physicians in our area as they choose EHR systems. In order to be successful, physicians must keep in mind the following three ideas:

1. Deployment isn't the same as utilization. Technology makes it possible, but the art is in making EHRs personal to physicians and their staffs. One size doesn't fit all, so it's important to find a system that operates the way physicians in a practice think and work.

2. Functionality isn't the same as usability. It isn't about the number of bells and whistles an application has. Think in terms of number of screens and mouse clicks required to qualify not just for federal "meaningful use" requirements, but also to deliver "meaningful value" to you and your patients. Evaluate whether functions are supportive and not disruptive during clinical decision-making, patient care, and treatment.

We're hosting a "vendor click-off" event so physicians can make side-by-side comparisons of how many mouse clicks it takes to perform key meaningful use criteria. ONC-ATCB certification shows only that an application can perform the required criteria, not how easily.

3. "Data" isn't the same as "information." Evaluate not only how the EHR captures information about care provided during a patient's treatment, but also how seamlessly the information is available and actionable during subsequent visits. Evaluate if it can securely and effortlessly receive and exchange information across national, regional, and local health information exchanges, in support of collaboration with physicians and caregivers in other settings.

 1 | 2  | Next Page »


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.