Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Paul Cerrato

Paul Cerrato

Editor, InformationWeek Healthcare

When Medical Informatics Clashes With Medical Culture

What's the sense of having IT systems in place that can help cut medical costs if physicians ignore the price tag of the care they provide?

11 Super Mobile Medical Apps
11 Super Mobile Medical Apps
(click image for larger view and for slideshow)
Ever ask your family doctor how much the test she just ordered will cost? Chances are she doesn't know. Physicians have been trained to provide the best possible care and to order whatever procedures they deem necessary to diagnose and treatment disease, regardless of the cost.

That philosophy is consistent with the Hippocratic oath, but as the nation tries to cope with its runaway medical tab, that philosophy requires close scrutiny. And it's especially important given all the IT systems in place that can help contain medical costs.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Tools are available that can help reduce the number of duplicative or otherwise unnecessary diagnostic tests doctors order. And although their main function is not cost containment, these systems can have a profound effect on the bottom line. EHRs, for example, when properly implemented, can keep clinicians informed of recent lab tests and imaging studies--through the magic of HL7.

HL7, which stands for Health Level Seven, is the set of standards that lets a healthcare provider format electronic information so that it can be exchanged between two or more databases that speak different languages. Data in a hospital's radiology information system, for instance, can be shared with the laboratory information system. And both systems can share test results with a hospital's EHR, keeping clinicians informed of tests that others have ordered.

[ Is it time to re-engineer your clinical decision support system? See 10 Innovative Clinical Decision Support Programs. ]

Health information exchanges, both private and public, take this sharing capability even further by making caregivers aware of procedures performed at other hospitals and medical practices. Even the Direct Project, the national protocol for secure clinical messaging, can help physicians stay current about test results and treatment regimens from other caregivers. Direct Project is push technology that lets physicians, hospitals, labs, pharmacies, and other entities exchange results, reports, and other clinical data over a secure network. Providers can view Direct Project messages on a website or use their EHRs to send and receive messages if those EHRs have Direct capability.

These tools are valuable, but they run up against a deeply rooted medical culture that doesn't pay all that much attention to costs. This culture begins to take hold during medical school. As soon as medical students begin their clinical training, they're encouraged to consider all the diagnostic possibilities when caring for patients, say Lisa Rosenbaum, MD, and Daniela Lamas, MD, editorial fellows at the New England Journal of Medicine.

So what is most likely a case of community-acquired pneumonia, during medical rounds soon morphs into a possible pulmonary blood clot or heart failure, "necessitating" a chest CT, ultrasound, and sophisticated cardiac procedures that push the patient's bill into the stratosphere.

Many physicians would argue that ignoring these more remote diagnoses means putting costs ahead of patients' welfare, and that's simply unethical. But Rosenbaum and Lamas point out in their recent NEJM editorial, Cents and Sensitivity--Teaching Physicians to Think about Costs, "Considering cost serves not only the equitable distribution of finite services but also the real interests of individual patients. Medical bills, after all, are among the leading causes of personal bankruptcy."

Those bills would be significantly lower if physicians stopped ordering unnecessary procedures. And there's now solid evidence to show that some routine diagnostic and screening tests really are a waste of money.

Among the worst offenders: screening EKGs, chest X-rays before outpatient surgery, and CT scans or MRIs after a patient faints. Unnecessary tests have become so prevalent that nine major medical organizations have launched "Choosing Wisely" campaigns to educate clinicians and the public about wasteful testing.

Of course, there is another side to this story: Many malpractice lawsuits have been filed against physicians for failing to diagnose life-threatening diseases, and one way docs cope with the lawsuit threat is to over-order diagnostic procedures to catch even the most unlikely disorders.

Still, the mandate to "do no harm" requires clinicians to not just worry about their patients' physical well-being but their financial limitations. And that means taking full advantage of EHRs, HIEs, direct messaging, and related IT tools. As Rosenbaum and Lamas put it, "Helping a patient become well enough to climb the stairs to his apartment is meaningless if our care leaves him unable to afford that apartment."

Get the new, all-digital Healthcare CIO 25 issue of InformationWeek Healthcare. It's our second annual honor roll of the health IT leaders driving healthcare's transformation. (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.