Big Data. Big Decisions
InformationWeek
Special Coverage Series


Nursing Information Officers: Newest Health IT Leaders

Onslaught of health IT initiatives brings a need for nursing Informatics expertise, and a new breed of chief nursing information officers.

Health IT On Display: HIMSS12 Preview
Health IT On Display: HIMSS12 Preview
(click image for larger view and for slideshow)
Does your organization have a chief nursing informatics officer (CNIO)? If not, chances are you'll need one.

The prevalence and role of CNIOs have been on an uptick, especially as hospitals, healthcare systems, and other providers are rolling out health technology for participation in Health Information Technology for Economic and Clinical Health (HITECH) Act Meaningful Use programs and other initiatives.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

A 2011 Health Information and Management Systems Society (HIMSS) leadership survey found that just 8% of organizations had CNIOs. However, with 80% of healthcare organizations having some form of electronic health record (EHR) by 2013, the need for these new leaders will rise, said Mary Beth Mitchell, CNIO at Texas Health Resources, a nonprofit healthcare organization which operates 14 hospitals.

Nursing informatics is a specialty in nursing that integrates nursing science, computer science, and information science, said Mitchell, who was a practicing RN for 25 years before moving into nursing informatics full time several years ago.

But even before taking on the job as Texas Health Resource's CNIO, she was director of clinical informatics at one of the organization's facilities. Prior to that role, her work as a nurse involved informatics for many years, Mitchell said during a HIMSS12 session on Tuesday aptly called "Role of the CNIO."

[ Read more from the most important live event in health IT on our HIMSS Special Report page. ]

Now Mitchell, like many other CNIOs at other healthcare providers, works closely with her organization's CIO, chief nursing officer, and chief medical information officer. At Texas Health Resources, Mitchell also works with the organization's nursing informatics council, which is made up of nurse champions whose purpose is to optimize the EHR to meet the needs of nursing throughout the health system.

As a field, nursing informatics has been around since the 1960s, becoming more prominent in the 1990s, with the American Nursing Association recognizing it as a discipline in 1992. There are about 3,000 informatics nurses in the United States currently participating in HIMSS and other organizations, she said.

About 75% of nursing informatics is involved in the development or implementation of clinical IT, and more roles defined for the discipline are emerging--including the top leadership role of CNIO, said Mitchell.

"It's a leadership position that bridges nursing and IT," she said. And it's also "the newest member of the C suite," she said.

Under the CNIO's purview are strategic and operational oversight of clinical application implementation, and relationship building between key leaders and departments including nursing, IT, medicine, and quality compliance.

Professional development opportunities are growing for these individuals, but slowly, she said. "As more organizations implement EMRs it's important for more nurses to go into this field and for us to support them," she said. At Texas Health Resources, there are four nurses certified in informatics, but there are others involved with the work, she said.

CNIOs' responsibilities often include EHR implementation and adoption; regulatory requirements compliance; infrastructure and Integration; managing the corporate vision; emerging technologies; analytics; and the professional development of other staff in nursing informatics, said Mitchell.

A key part of the CNIO's job is to be a "translator" of technologies' risks and benefits to clinical staff and for patients, she said.

Other helpful traits for the job of CNIO include "being a good negotiator and being willing to be the person that says 'the buck stops here,'' she said.

Healthcare providers must collect all sorts of performance data to meet emerging standards. The new Pay For Performance issue of InformationWeek Healthcare delves into the huge task ahead. Also in this issue: Why personal health records have flopped. (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.