Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Paul Cerrato

Paul Cerrato

Editor, InformationWeek Healthcare

When Smart Mobile Technology Meets Good Science

Tablets, smartphones, and mobile apps have the potential to improve patient care--but without quality clinical research to back them up, you may be wasting your IT budget.

12 Innovative Mobile Healthcare Apps
(click image for larger view)
Slideshow: 12 Innovative Mobile Healthcare Apps
A recent New York Times article listed several mobile IT tools worth looking into, including a small blood glucose meter that plugs into an iPhone or iPod Touch, a blood pressure cuff that attaches to a smartphone, and a phone app that reminds patients to take their medication.

But when I was interviewed for this Times story, one point I thought worth mentioning was that the best mobile health tools are supported by strong clinical research.

One example: WellDoc's DiabetesManager. In a year-long study, Charlene Quinn, MD, and colleagues from the University of Maryland school of medicine found that patients who had access to the WellDoc mobile app for treatment and behavioral coaching lowered their glycated hemoglobin (A1c)--a measure of long-term blood glucose control--significantly more than those who received care only during occasional doctor visits and through self management.

During the trial, patients were divided into four groups: A control group received traditional, office-based care; another group was given WellDoc coaching and a secure Web portal so they could communicate with their physicians; a third group used the WellDoc system and their doctors could see data that the patients entered; and a fourth group used WellDoc and worked with physicians who had clinical decision support that linked data to standards of care and evidence-based care guidelines.

All patients in the study used glucose meters. Those in the three experimental groups also received mobile phones with service and data plans, plus the WellDoc mobile diabetes management software that delivered more than 1,000 self-management messages, as specified by an algorithm that considered factors such as blood-glucose levels, medications, and carbohydrate consumption. The Web portal included personal health records for reporting diabetes-related information such as test results.

[ Wearable devices equipped with sensors and Web connections help consumers track health and fitness. Take a look at what's possible now. 10 Wearable Devices To Keep Patients Healthy. ]

The study, which was published in the September 2011 issue of the journal Diabetes Care, found that the group whose doctors had access to clinical decision support saw their A1c levels decline by 1.9 percentage points, while patients in the control group had a median reduction of only 0.7 percentage points. Patients in intermediate groups, who also used the WellDoc system, likewise saw significantly better blood glucose readings, when compared to the control group.

A more recent mobile technology experiment reported in the Archives of Internal Medicine also emphasized the value of good research support.

Bonnie Spring, a researcher at Northwestern University, along with colleagues from several other universities, gave more than 200 adults with poor nutritional habits and a sedentary lifestyle Palm Pilots loaded with nutritional software and tools to monitor food intake.

Using CyberSoft's Nutribase software and accelerometers, which patients wear to track physical activity, subjects monitored their activity level, along with their intake of saturated fat, fruits, and vegetables. They also received coaching via phone and email from trained assistants on how to improve their nutrition and exercise habits.

The "mobile therapy" worked. Patients more than tripled their daily fruits and vegetables, and sedentary leisure activities significantly decreased. Mobile tools like this can have a major impact on patient outcomes because they serve as "physician extenders."

Given the limited amount of time the average physician has to see patients, it's impossible to provide the kind of detailed lifestyle advice so urgently needed by many patients with nutrition- and obesity-related disorders. Prescribing these kinds of research-driven mobile interventions can have a real impact on quality of care and costs.

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


More Insights




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.