Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Marianne Kolbasuk McGee

Marianne Kolbasuk McGee

Senior Writer, InformationWeek

Does Vermont Prescriber ID Law Violate Free Speech?

The Supreme Court might not even be hearing the case if the state's ban on using a doctor's prescription records for marketing purposes were written as "opt-out" rather than "opt-in."

Unless Vermont doctors provide consent, the state's prescription confidentiality law now prohibits the distribution and use of prescriber-identifiable data for marketing purposes. But that may all change, depending on whether or not the U.S. Supreme Court decides if this law is a violation of the First Amendment.

Opponents to the ban--including data mining companies and pharmaceutical firms--contend that the ban violates free speech rights.

Opponents argue that distribution and use of prescriber-identifiable data is unfairly allowed for other purposes, including by the state of Vermont itself. For instance, the state can use the information to help steer doctors into writing prescriptions for cheaper generic drugs for patients whose healthcare expenses are covered by government programs.

Pharmaceutical companies contend that in contrast, the ban unfairly prohibits the use of prescriber-identifiable data to help them more effectively "detail" marketing of their name-brand products to doctors.

But the important point that needs to be remembered in all this is that Vermont does allow prescriber-identifiable data to be used for marketing purposes, as long as the doctor gives consent.

For some busy doctors, a visit by a pushy pharmaceutical sales rep is probably as annoying as a dinner-time call from a telemarketer. But if the prescriber-identifiable data can shorten the sales pitch and more accurately focus it on the doctor's interest, then the detail marketing probably saves time for the doctor while making the salesperson more productive.

On the other hand, some doctors don't want to be bothered by drug company sales pitches at all, and others are likely bothered by the fact that marketers have the ability to dissect their prescribing habits.

Again, what's key in all this is consent. If doctors allow their data to be used, fine. If not, the Vermont law's consent rule as it stands now is much like a telemarketer no-call list, in my opinion.

The question is whether the law would've satisfied more or fewer constituents had it been written to allow the use of prescriber-identifiable data for marketing unless the doctor specifically opts out.

Marianne Kolbasuk McGee is a senior writer for InformationWeek.




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.