Big Data. Big Decisions
InformationWeek
Special Coverage Series


Analytics Can Expand Health Insurers' Role

Insurers can help solve problems such as medication errors and duplication of services if providers share clinical and financial data, says new PricewaterhouseCoopers report.

IW 500: 10 Healthcare IT Innovators
IW 500: 10 Healthcare IT Innovators
(click image for larger view and for slideshow)
As the healthcare industry increasingly relies on analytical tools to provide care metrics, insurers that identify the right data and incorporate informatics into their organizations are likely to transform healthcare, concludes a new report from PricewaterhouseCoopers.

According to the report, by creating actionable information, insurers can make a valuable contribution to healthcare that can have a positive impact on healthcare providers and health plan members. Despite that potential, PwC found that three-quarters of healthcare providers surveyed by its Health Research Institute say that they are not effectively aggregating, integrating, or developing performance measures, or acting on clinical data.

"Working together, providers and insurers can use informatics to tackle problems such as medication compliance, duplication of services, improved outcomes, and a reduction in medical errors," the report states.

Advancing healthcare informatics: The power of partnerships summed up interviews with 14 executives at health plans and industry organizations, and also relied on previous surveys with more than 600 provider, health insurer, and pharmaceutical and life sciences professionals.

[ Related: When Medical Informatics Clashes With Medical Culture. ]

The research suggests that health plans are undergoing monumental change in their relationships with providers, health plan members, pharmacies, and other stakeholders. According to John Edwards, a director at PwC and co-author of the report, much of the change has been brought on by the Patient Protection and Affordable Care Act as well as the HITECH Act.

"There is going to be a sea change in the use of informatics within payer organizations, partially due to health reform," Edwards told InformationWeek Healthcare. "Payers can no longer deny coverage based on pre-existing conditions so they have to manage the risk rather than avoid it."

Insurers can overcome some of that risk through collaborating with health providers in an accountable care organization, in which health insurers can use informatics to improve the health outcomes of a large population.

"Insurers bring strong actuarial skills to the table that can help providers calculate the cost of current and future business risk. They can also provide physicians with financial strategies for managing costs and metrics for driving quality improvements on a large scale," the report said.

Health plans also are in a position to expand data components that include demographics, community health, and social media, which the report says are examples of rich consumer information. These resources present untold opportunities for health plans to learn from, as well as to use as vehicles to do a better job of communicating with members.

Already, there are real-world examples of health plans using data to improve care, according to the report. For instance, United Healthcare, Kaiser Permanente, and the Geisinger Health Plan all have collaborated with health providers to analyze patient data and uncover actionable insights leading to improved care and cost reductions, it says.

Still, researchers say there are obstacles that could hamper health insurers' ability to become data partners with providers and other stakeholders, including:

-- Lack of trust between insurers and providers. In some cases, they don't even trust the quality of each other's data.

-- Insufficient funding. Forty-three percent of providers surveyed by HRI said lack of funding was an organizational barrier in developing informatics programs.

-- Absence of technology and business tools for personalized care. The industry is moving away from individual care, which uses medical claims data to provide targeted single services, to personalized care, which aims to integrate the member's unique clinical, social, genetic, and environmental information to maximize overall health. The industry has yet to build technology required to support this level of advanced knowledge and scale it operationally.

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


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.