Big Data. Big Decisions
InformationWeek
Special Coverage Series


Medical Compliance App Proves Power Of Friends, Family

MediSafe's mobile "pillbox" app drives up medication adherence rates by sharing information with patients' loved ones.

10 Mobile Health Apps From Uncle Sam
10 Mobile Health Apps From Uncle Sam
(click image for larger view and for slideshow)
By letting friends and family know when a patient has not taken his or her meds, the MediSafe Project is seeing significant rises in adherence rates after its launch in November 2012. Users of the mobile app have reported an adherence rate of 81%, with Statin users' adherence at nearly 85%, according to MediSafe. According to the World Health Organization, average adherence rates remain near 50%, 31% below MediSafe's numbers.

Omri 'Bob' Shor, MediSafe Project CEO, said in an interview with InformationWeek Healthcare that the idea for the MediSafe app was inspired by his father, a diabetic patient who experienced a potentially fatal double dose of insulin after failing to remember whether or not he took the medication earlier in the day. "We understood taking medication was based on memory," Shor said. "We wanted to find a way for people to adhere to their medication … and we started to think about how we could differentiate MediSafe."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

[ For the latest development on Meaningful Use, see Meaningful Use Stage 2 Rules Finalized. ]

From there, Shor and his team developed MediSafe, a cloud-based solution that shares adherence information with a patient's friends or family members. The app is available for both Android and iOS users. A user can opt to download the app and act as an anonymous user or, after entering personal information, can sync to a family member's profile. After doing this, Shor said, a user will see both profiles side by side.

"For example, my dad is supposed to inject insulin," Shor said. "A reminder from MediSafe pops up [on my phone] maybe an hour after my dad was supposed to take his medication, saying a problem may have occurred, and he may have forgotten to take his pills." From there, a family member has the option to choose the "call" function, which automatically connects his/her to their family member's phone. If the family member has taken the medication on time, the app also alerts loved ones after he/she reports it to the app. "That's the social and family support that helps people adhere to medication," Shor said. "Receiving notifications via texting, calling … it's essentially closing the loop with the family."

Shor said syncing information to a Web version of the app will happen within the next three to four months. Until the Web version is available, Shor said, Android users will get access to a downloadable list of their medications, dosages and compliance rates, allowing them to share information with their doctor. Lastly, Shor and his team are also working on an automated phone system for people without a smartphone. "So if grandma is taking [medication] and doesn't have a smartphone, I can sign her up with my app," he said. The app will then generate calls to a landline number, prompting the family member to press one if he/she took her medication, two if he/she didn't, and so on. This function will also come in handy for providers without smartphones, he said, and can generate similar phone calls to report back if a patient did indeed take their medication.

MediSafe was recently chosen as Microsoft's BizSpark Startup of the Day after being part of the first graduating class of the Microsoft Accelerator for Windows Azure, a three-month immersion program for 10 startups that were developing in the cloud.

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.