Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Rob Preston

Rob Preston

VP & Editor in Chief, InformationWeek

Down To Business: Can The Healthcare Industry Handle All This IT?

The hope is that the platforms healthcare providers are being dragged into deploying today will serve as the foundation for future innovation.

The recent HIMSS11 trade show, the premier event in healthcare IT, exuded all the trappings of a thriving industry: more than 1,000 exhibitors, from giants like IBM, Microsoft, and Hewlett-Packard to myriad niche providers; a record 31,000 registered attendees; and a first-rate conference and education program featuring a who's who of expert presenters. But if last year's HIMSS event in Atlanta had a "there's no stopping us now!" post-recession vibe to it, this year's event in Orlando wasn't so sure of itself. Is healthcare IT investment and innovation a long-term, sustainable phenomenon, or are things moving too fast for the industry's good?

Glen Tullman, CEO of $1.4 billion-a-year health IT vendor Allscripts, calls this nothing less than "the single fastest transformation of an industry in the history of the United States." David Hamilton, senior VP of Siemens Medical Solutions USA and a 30-year healthcare IT veteran, including 10 years as a CIO, calls it "the wild wild West." Another exec at HIMSS (Healthcare Information and Management System Society) calls the industry's data integration challenges "a Tower of Babel." Lightning speed plus massive complexity are bound to produce at least some degree of angst and confusion.

Consider that the federal government is spending tens of billions of dollars to get healthcare providers to digitize their records and processes, and that most of that money must be spent (and work completed) in the next two or three years. And couple that stimulus with new mandates and deadlines tied not only to meaningful use of electronic health records, but also to healthcare claims transactions (HIPAA 5010), broad coding and procedures (ICD-10), and other areas. The healthcare industry is effectively squeezing a decade's worth of IT advances into a five-year window.

Healthcare IT feels a little bit like a bubble: legions of startup vendors in ridiculously niche sectors (iPad apps for radiologist assistants?) seeking to be acquired; care providers scrambling to find enough technical talent to satisfy the government and regulatory edicts.

HIMSS CEO H. Stephen Lieber, in a statement released Feb. 21 to kick off the organization's annual event, delivered something of a mixed message on the pace of healthcare IT investment. While emphasizing that each healthcare provider must be left to its "own different schedule" and "own strategic plan" when it comes to deploying IT, Lieber insisted "there is no rationale for delaying this" investment. Huh?

In HIMSS's annual leadership survey of U.S. hospital IT executives, half the respondents cited achieving meaningful use of certified healthcare IT products as their top priority, up from 42% last year. That finding elicited an odd response from Craig Stilwell, a VP with survey sponsor Citrix Systems. "Healthcare systems are making significant IT investments to meet new mandates and requirements, suggesting they have clear plans for the future," Stilwell said in a statement. Really? Don't mandates and requirements tend to induce short-term responses rather than inspire long-term strategies?

The hope, especially among technology vendors and policy-makers, is that the IT platforms most healthcare providers are being whipped into deploying today will serve as the basis for future innovations: new services, more efficient operations, and more informed decision making.

Think about the SAP and Oracle ERP platforms built 15 years ago--huge, unwieldy, often overwhelming undertakings that many companies were pulled into, kicking and screaming. Today, they serve as the technology backbones for all manner of business processes. More recently, we've seen an explosion in social media, led by consumer sites such as Facebook, Twitter, and YouTube and now leading to enterprise versions. The "social business" movement is far from orderly, but enterprises are banking on their somewhat haphazard investments today paying dividends tomorrow.

 1 | 2  | Next Page »


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.