Big Data. Big Decisions
InformationWeek
Special Coverage Series


Hospitals Turn To Software To Track Patients

Patient flow software improves efficiency and patient satisfaction by reducing patient wait times and speeding bed turnarounds.

6 Healthcare Revenue Cycle Management Systems To Watch
6 Healthcare Revenue Cycle Management Systems To Watch
(click image for larger view and for slideshow)
Patient flow software, used to track the movement of patients through healthcare facilities, is gaining ground in the nation's hospitals, a new Capsite report reveals.

According to Capsite's survey of 422 healthcare organizations, 41% of the respondents use patient flow software. That includes 32% of hospitals with under 200 beds, 53% of facilities with 200-400 beds and 82% of institutions with more than 400 beds.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Moreover, the trend seems to be picking up steam. Nearly as many respondents purchased patient flow systems in the first half of this year as in all of 2011.

Doug Hires, executive VP of Santa Rosa Consulting, attributes the acceleration in purchases to the spread of the technology from early adopters to late adopters, most of them smaller community hospitals. "The large integrated health systems have been looking at this and helping vendors mature their solutions, and now we're starting to get into that bigger adoption curve," he told InformationWeek Healthcare.

Around 40% of the new purchases were upgrades or replacements of older systems. Whether the patient flow applications are embedded in large hospital information systems or are specialty products that interface with those systems, Hires explained, the systems are continuing to improve. "The products will continue to be integrated better and provide more functionality and usability."

Nearly 60% of the patient flow applications used by respondents were features of leading hospital information systems (HIS), and the rest came from a variety of other vendors. Four of the top five companies under consideration by hospitals planning to buy patient flow systems are major HIS vendors: Epic, McKesson, Cerner and Allscripts. The fifth, Teletracking, is the top specialty vendor of patient flow tools.

[ To see how patient engagement can help transform medical care, check out 5 Healthcare Tools To Boost Patient Involvement. ]

That conclusion fits with Capsite's finding that 20% of hospitals bought new patient flow systems to improve their technology. Sixteen percent of respondents said the patient flow software was included with an HIS or electronic health records (EHR) system purchase, and the same percentage expected the application would help improve the quality of care. The largest percentage of respondents, 38%, said they'd bought a patient flow application to improve efficiency, in part by reducing patient wait time and bed turnaround time.

"Hospitals see a tremendous opportunity to improve their performance through operational tools, and this can improve the efficiency of moving patients through the entire system," Hires commented. "They can reduce cost and improve the utilization of current capacity without having to constantly build towers and add beds. Ultimately, they also can improve patient satisfaction and engagement."

Besides improving throughput and reducing wait times, he noted, the patient flow software can ensure that doctors can quickly locate patients in the hospital. In addition, he said, some applications track equipment within the hospital.

The equipment finders, known as real-time location systems (RTLS), include products that use barcode scanners and others that rely on radio frequency identification (RFID). They may be standalone or part of patient flow tools.

But when it comes to patients, Hires noted, "The majority of EHR vendors use a basic patient flow component that involves entering data rather than RFID surveillance technology."

Patient flow software can be used in emergency departments (ED) as well as the overall hospital. "It's very useful in both those areas and the transition between them," Hires noted. "A lot of ED software tracks patients in the ED directly, so you have to integrate it into an enterprise solution."

That isn't always easy, however, if the ED EHR is from a different vendor than the hospital EHR. "The performance improvement opportunity that healthcare executives see is in treating patient flow as an enterprise problem. Once they focus on that and on all the workflows involved and apply technology to it, that's where the real benefits are."

So will the big HIS vendors take over the patient flow market? "This is the same issue you have with lots of different modules for an EHR solution: Do you buy everything bundled, and have the advantage of a single database, or do you partner with an innovative specialty vendor that will provide more functional, user friendly features? It's a classic struggle of best of breed vs. a single solution."



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.