Big Data. Big Decisions
InformationWeek
Special Coverage Series


Utah's Medicaid Data Breach Worse Than Expected

Utah Department of Technology Services (DTS) reveals 780,000 individuals have been affected by the theft of sensitive Medicaid information. That's far worse than initial estimates.

Master's Degree Programs For IT Pros And Clinicians
Master's Degree Programs For IT Pros And Clinicians
(click image for larger view and for slideshow)
A new tally of files stored on a server that contained Medicaid information at the Utah Department of Technology Services (DTS) reveals that 780,000 individuals have been affected by the theft of sensitive information. That's far worse than initial estimates.

The data breach occurred on March 30, when a configuration error occurred at the password authentication level, allowing the hacker, located in Eastern Europe, to circumvent DTS's security system.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"The server was a test server and when it was put into production there was a misconfiguration. Processes were not followed and the password was very weak," Stephanie Weiss, spokesperson for DTS, told InformationWeek Healthcare.

On Monday DTS, along with the Utah Department of Health (UDOH), announced that an additional 255,000 people had their social security numbers (SSNs) stolen by hackers from a computer server last week. Until last Friday, authorities had estimated that only 25,096 individuals had their SSNs compromised. That brought the revised figure up to 280,096.

DTS officials said the 280,096 victims were individuals whose information was sent to the state by their healthcare provider in a transaction called a Medicaid Eligibility Inquiry to determine their status as possible Medicaid recipients.

[ Most of the largest healthcare data security and privacy breaches have involved lost or stolen mobile computing devices. For possible solutions, see 7 Tools To Tighten Healthcare Data Security. ]

Another 500,000 individuals had less sensitive personal information stolen, comprising names, addresses, dates of birth, and medical diagnostic codes, among other information. That brings the total number affected to more than 780,000. Officials cautioned that some victims may have been counted twice, and the number of people affected could be reduced as the investigation continues.

The information was hacked from 224,000 files that contained Medicaid Eligibility Inquiries and from the records of Medicaid and Children's Health Insurance Plan (CHIP) recipients.

One single file can potentially contain claims information on hundreds of individuals. DTS has started the process of identifying these additional victims, and the state will be sending letters directly to them as they are identified. To provide a remedy, victims whose SSNs were stolen will receive one year of free credit-monitoring services.

"I am not the least bit surprised," said Daniel Berger, president and CEO of Redspin Inc., a company that provides IT risk assessments at hospitals and other medical facilities. In an interview with InformationWeek Healthcare Berger said, "While the majority of healthcare data breaches to date have been the result of non-malicious incidents, it's always been only a matter of time before the hackers arrived. Digitized medical records are now a high-value target."

Looking ahead, Tom Hudachko, spokesman for UDOH, said the department will send its report to the U.S. Department of Health and Human Services as they assess potential violations of the Health Insurance Portability and Accountability Act of 1996 (HIPAA).

"DTS is listed as a business associate of ours, so they will be responsible for filing their own separate report with HHS's Office of Civil Rights (OCR), and we will also be filing a report with OCR and with the Centers for Medicare and Medicaid Services," Hudachko told InformationWeek Healthcare. "We've spent some time thinking about a potential fine, but right now we're trying to figure out how we're going to take care of the victims' immediate needs."

In the meantime, DTS has implemented new data security procedures. "We've reviewed our process to prevent this type of incident from happening again," Weiss said. "We've put in place some additional network monitoring and intrusion-detection capabilities."

To shore up their data protection procedures, Rick Kam, president and co-founder of ID Experts, said DTS and UDOH should perform an inventory of the sensitive information their organization manages. "Whether it is considered personally identifiable information (PII) or protected health information (PHI), both have regulatory security requirements to protect it and to notify individuals if security is breached," Kam told InformationWeek Healthcare.

In order to reduce the risk of data theft, Kam recommends that organizations take the following steps:

-- Ask for and keep only PII/PHI that is necessary, and properly dispose of that data.

-- Perform annual risk assessments where PII/PHI exists, whether it is managed within your organization or by third parties, to identify any threats and vulnerabilities and to find the best ways to mitigate risk.

-- Determine the "at risk value" of the PII/PHI to justify appropriate levels of investment in risk mitigation systems used to protect it.

-- Implement and test risk mitigation tools on a periodic basis to make sure they are working effectively.

"Hackers are testing for configuration errors, simple authentication procedures, or weak passwords. It is highly probable that this situation could have been avoided," Kam said.

The 2012 InformationWeek Healthcare IT Priorities Survey finds that grabbing federal incentive dollars and meeting pay-for-performance mandates are the top issues facing IT execs. Find out more in the new, all-digital Time To Deliver issue of InformationWeek Healthcare. (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.