Big Data. Big Decisions
InformationWeek
Special Coverage Series


Mobile App Teaches Clinicians To Monitor Patients

Castle + Anderson's new SimMon app links two tablets to simulate a remote-controlled patient monitoring system, offering medical training in the trenches.

5 Tools Connect Patients To Their Healthcare
5 Tools Connect Patients To Their Healthcare
(click image for larger view and for slideshow)
App developer Castle + Anderson recently released SimMon, a tool that simulates a remotely controlled patient monitor. The app runs on an iPhone or iPad and can help train clinicians as they learn to track changes in blood pressure, oxygen saturation and heart rate.

In an email to InformationWeek Healthcare, Niels Castle of Castle + Anderson said the app stemmed from his twin background in nursing and computer science. "SimMon is a great way of giving back to the medical simulation community," he said. "There's no substitute for hands-on experience."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

SimMon allows users to connect a pair of iOS devices via Wi-Fi and remotely control vital signs on a monitor simulator. One device controls the other, allowing students to adjust any of the parameters from one iPad, for example, which in turn appear on the second iPad. Additionally, the app can connect equally well via BlueTooth, and its standalone mode is great for use with mirroring via an AppleTV to a typical television screen or projector. For doctors, Castle added, the app holds value particularly with the release of the iPad mini.

Castle said the idea for SimMon stemmed from his time studying critically ill patients in a simulation lab, when, due to budget constraints, there was only one simulation station available for students. "That meant a lot of waiting around," he said. "Luckily, I had brought my MacBook and before the course was over, the first version of SimMon was running on a pair of iPhones. It's crazy that access to simulation hardware was keeping us from engaging in simulation back then, but the same is true on a much larger scale."

[ For another point of view on PHRs, see Why Personal Health Records Have Flopped. ]

The traditional simulation setup, Castle continued, is complex, expensive, and tucked away in simulation centers. "That's all right if you can find time to travel to the simulation center with your entire team and have a complex technical scenario lined up." SimMon, he said, isn't aiming to take the place of these simulation centers, but is instead aiming to take medical simulation to the world outside them. "SimMon takes simulation to where healthcare is actually provided: the ward, ambulance or helicopter..." Castle said.

Looking ahead, Castle said the SimMon app is still evolving, and new features are in the pipeline. "I have been blown away with the constructive feedback I've received. It's fantastic to hear that the SimMon users can see how they can benefit from [it] and are taking time out to suggest additional features."

Castle added, "I [want] to keep SimMon reasonably priced, simple to set up and operate -- key factors in taking simulation to a wider audience."

The app is available in the Apple App Store for $13.99.

Online retailers are stuck in a maze of e-business security and PCI compliance requirements. The new, all-digital special issue of Dark Reading gives you 10 Ways To Secure Web Data. (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.