Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Paul Cerrato

Paul Cerrato

Editor, InformationWeek Healthcare

E-Prescribing Systems Still Finding Their Mojo

Latest stats suggest doctors are smitten with e-prescribing, but training and clinical decision support still needed.

6 Top-Notch E-Prescribing Options
(click image for larger view)
Slideshow: 6 Top-Notch E-Prescribing Options

The latest figures from Surescripts, the nation's largest e-prescription network, show that at the end of last year, 58% (or 317,000) of office-based physicians were using e-prescribing tools to fill prescriptions, versus only 36% (190,000) in 2010. Even more encouraging is the fact that smaller practices are finally getting into the act.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Among practices with six to ten physicians, 55% adopted the technology, as did 53% of practices with two to five physicians. Similarly, solo practitioners also experienced significant growth, with 31% adopting e-prescriptions in 2010 and 46% in 2011.

It's hard to see a downside to this trend. A recent RAND study predicts that when electronic medication ordering reaches the 60% threshold, it will lower the death rate from acute myocardial infarction and heart failure by 2.1%, which researchers considered significant.

Similarly, during a recent webcast, Harry Totonis, president and Surescripts CEO, pointed out that when physicians e-prescribe, they gain access to a patient's benefit information and medication history--information that helps them select the best medication for the patient.

Most e-prescribing systems also check for patient allergies and drug-drug interactions, two more safeguards to ensure patient safety.

[ Practice management software keeps the medical office running smoothly. For a closer look at KLAS' top-ranked systems, see 10 Top Medical Practice Management Software Systems. ]

Also, there's the fact that many physicians have notoriously poor handwriting, so switching to an electronic system reduces the number of phone calls pharmacists must make to clarify illegible prescriptions.

Additionally, studies have shown that e-prescribing can increase medication adherence and reduce healthcare costs. Patients who lose paper prescriptions, for example, may delay going back for a new one or not take their medications on time, which can lead to more health problems.

Certainly financial incentives are a driving force behind physicians' increasingly use of e-prescriptions. The 2008 Medicare Improvements for Patients and Providers Act (MIPPA) instituted a Medicare e-prescribing program that pays small incentives to doctors who write at least 10% of their prescriptions electronically, with some exceptions. The bonus was 2% of eligible Medicare Part B charges in 2009-10, 1% in 2011-12, and it will be 0.5% in 2013.

Clearly there are significant financial and clinical benefits to e-prescribing, but there's still plenty of room for improvement. For example, deficiencies in an e-prescribing program or in the CPOE platform that houses it can sometimes cause major problems. Last year, for instance, investigators from the University of Wisconsin-Madison and Geisinger Health System in Pennsylvania reported that e-prescribing actually increased medication errors rather than reduce them.

Their review of two intensive care units at a 400-bed rural teaching hospital in the Northeast before and after CPOE implementation revealed a higher rate of duplicate medication orders with the technology in place. Identical electronic orders jumped from 0.36 to 1.72 incidents per 100 patient days, while same-medication errors increased from 0.31 to 1.87 per 100 patient days. They also found a slight uptick in the rate of medication orders in the same therapeutic class.

In some cases, the clinical decision support algorithms used by the CPOE system overlooked true duplicates, according to investigators. And the medication database used by the system didn't recognize oral and intravenous forms of a single medication as the same drug.

Another study suggests that just because an e-prescribing system is integrated into an EHR doesn't mean it will perform any better than a stand-alone e-prescribing program. Researchers from Weill Cornell Medical College and New York-Presbyterian Hospital found that after adjusting for baseline differences, clinicians who used the stand-alone program had four times a lower rate of errors at one year compared to those using the integrated system.

It turns out the stand-alone program had a more mature clinical decision support system, and users were better trained and given stronger technical support than the physicians using the integrated system.

The bottom line is clear: While the increased use of e-prescribing systems is good news for doctors and patients, without a sophisticated clinical decision system and a fully staffed technical support staff, providers won't see the benefits they're hoping for--and patients could be put at increased risk.

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.