Big Data. Big Decisions
InformationWeek
Special Coverage Series


Personal Mobile Heart Monitor Gets FDA OK

AliveCor specialized iPhone case and monitoring app lets users record data and wirelessly send to doctors.

10 Medical Robots That Could Change Healthcare
10 Medical Robots That Could Change Healthcare
(click image for larger view and for slideshow)
AliveCor, Inc. announced that the company received FDA 510(k) clearance for its mobile heart monitor. The tool, which is technically an iPhone accessory, acts as a typical iPhone case but has integrated electronics, wireless communication and electrodes. When used in conjunction with the AliveCore app, the heart monitor acts as a personal electrocardiogram recorder, allowing physicians to screen for abnormal cardiac rhythms, including atrial fibrillation. The patient records information by pressing fingers from each hand to electrodes on the device, or placing it on the chest.

AliveCore CMO and product inventor Dave Albert, M.D., said in an interview with InformationWeek Healthcare that the tool and app also are connected to a Web service, which allows a physician anywhere in the world to view a patient's ECG results within 10 seconds of them being reported. "So I could be in Africa, and a doctor in San Francisco can view the ECG within that time frame," he said.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Since receiving its FDA clearance, Albert said the company will make the heart monitor available first to medical professionals, and then to patients under prescription. In 2013, he hopes to get clearance once again from the FDA to sell it over the counter. The company also plans to have the tool available for the iPhone 5 in January, with "full production release in March." Albert added that he will make the monitor available for Andriod users either at the end of the first quarter of 2013, or the beginning of the second. The company has demonstrated the tool to Samsung and has it working in prototype form, Albert said.

[ Is it time to re-engineer your clinical decision support system? See 10 Innovative Clinical Decision Support Programs. ]

Also in 2013, Albert said the company is looking to take the tool global. "In China, South America, Africa … they don't have the infrastructure like we do here, " he said. Medical establishment is "the toughest" in the U.S., Albert said, and because the monitor has seen such success in the states, he hopes to expand it to countries that "don't have this existing technology," he said.

Remote monitoring devices have become hot commodities lately, with similar companies, such as Nuubo , offering a wireless platform for monitoring heart health. In fact, the company offers a portfolio of mobile technologies for cardiac prevention, diagnostics and rehabilitation solutions. Nuubo's nECG tool acts like the AliveCor app but uses three elements to gather heart health information: its BlendFix textile, which captures a patient's ECG; its nECG minder, which registers the patient's ECG signal captured by the textile; and then the nECG suite, which is Web-based software, similar to the AliveCor website, which allows for report generation diagnosis and HRV analysis.

In addition to AliveCor, a number of "life-saving" apps have been released as of late. According to an article in PC Mag, apps similar to AliveCor include Philips Vital Signs camera, an iOS app that can gather a patient's heart and respiratory rate without direct contact with the patient, and WiThings blood pressure monitor, which is used by physicians in conjunction with its iOS app to take and record blood pressure. The results can then be emailed, stored, tracked and even graphed.

Clinical, patient engagement, and consumer apps promise to re-energize healthcare. Also in the new, all-digital Mobile Power issue of InformationWeek Healthcare: Comparative effectiveness research taps the IT toolbox to compare treatments to determine which ones are most effective. (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.