Big Data. Big Decisions
InformationWeek
Special Coverage Series


4 Best Practices: Combat Health Data Breaches

Senior health IT experts offer tips on how to bolster security and create a culture of privacy and compliance.

10 Wearable Health Gadgets
10 Wearable Health Gadgets
(click image for larger view and for slideshow)
Data breaches in healthcare are rising at an alarming rate, and within the past two years, nearly 20 million patient records have been compromised, according to the U.S. Department of Health and Human Services (HHS). Recently, the American Hospital Association brought together five senior executives to discuss security, compliance, and legal issues regarding best practices and how to create a culture of organizational compliance.

In the seminar, "Manage Data Breach Incidents and Improve Patient Privacy in Major Care Systems," experts discussed how to achieve organizational alignment around patient privacy across large organizations, how to mitigate the financial and reputational risks of a data breach, and specific ways to gain support from both the board and executives to create and maintain a culture of privacy. Experts included Kimberly Holmes, deputy product manager of healthcare at Chubb Group of Insurance Companies; Cheryl A. Parham, associate general counsel at New York-Presbyterian Hospital; Meredith Phillips, chief privacy officer at Henry Ford Health Systems; Marcy Wilder, co-chair of the Global Privacy and Information Group at Hogan Lovells; and Doug Pollack, chief strategy officer at ID Experts.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

InformationWeek Healthcare spoke with Pollack, who recapped the four tips experts shared to make patient privacy and security part of an organization's culture.

1. Encrypt, Encrypt, Encrypt.

During the panel, Holmes outlined a core message, said Pollack, which was "simple and easy" but could substantially improve an organization's ability to maintain patient privacy. "That's encryption," said Pollack. "It’s particularly important and necessary to emphasize now because of the new device world we're moving into." Healthcare, he continued, is a "very aggressive" adopter of mobile technology, particularly tablets, and although encryption technology is often available, people might not focus on it as much as they should.

"A lot of times, when they're dealing with BYOD, they may not understand the need to maintain privacy and the importance of using encryption," said Pollack. "[We need to] get people focused on the one simple thing they can do in the security space and move the needle in terms of protecting patient privacy. Encryption is one of those rare focus areas that can make a huge difference."

2. Prepare For A Breach.

New York-Presbyterian's Parham said during the panel that when dealing with a large hospital system, the question isn't if, but when an organization will encounter a data breach. "It's a fact of life within the healthcare world that data is liquid; it needs to move around so much that it's impossible to completely eliminate breaches," said Pollack. "Her point was…it's important to have a plan in place that will dictate how you operate in the context of a breach."

Pollack added it’s important to understand who your first responders are, and, more importantly, how they will react in the situation. A common issue, though, is how often organizations will develop a response plan, "and then stick it in a file and that's it," he said. "We’re increasingly finding … hospitals are interested in testing their response plan. They'll assemble folks and do a table-top walk through of a sample data breach." By doing so, an organization can operationalize their response. "It can make a big difference as to whether you successfully or unsuccessfully deal with an incident," Pollack said.

3. Assess Privacy And Security Compliance Annually.

Even though it's required under HIPAA, said Pollack, many organizations still fail to perform a compliance assessment every year. "[Make] it part of your organizational DNA," he said. "Organizations need to get in the rhythm of doing it." Just as an organization develops its operating plan every year, it also needs to schedule and carry out a privacy and security assessment, "so they're budgeted and expected," he said. "The good news is by doing them, it'll help keep you out of trouble when you inevitably face an investigation by Office for Civil Rights (OCR), where they decide whether you've been acting poorly or not."

4. Find Gaps And Close Them.

Phillips spoke on how to find the security gaps within an organization and close them, and described what she and her team have done at Henry Ford Health System. "She talked about a natural follow-up to the assessment process, which is helpful to identify issues and do something about them," said Pollack. Phillips also said that she and her organization keep the OCR updated on the issues they have identified and are working to fix. "That’s to preempt any concerns or issues by illustrating your proactive efforts to address patient privacy," said Pollack.

Global Privacy's Wilder "wrapped a bow" around all the points executives made when it came to how to prepare for and combat against data breaches, said Pollack. To summarize, "encryption and culture come in, and organizations need to be prepared when breaches occur," he said. "[They] need to be transparent and especially transparent not only to those affected, but also to the regulatory systems, specifically OCR."

InformationWeek Healthcare brought together eight top IT execs to discuss BYOD, Meaningful Use, accountable care, and other contentious issues. Also in the new, all-digital CIO Roundtable issue: Why use IT systems to help cut medical costs if physicians ignore the cost of the care they provide? (Free with registration.)



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.