Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Paul Cerrato

Paul Cerrato

Editor, InformationWeek Healthcare

IT-Enhanced Medical Homes Aren't A Quick Fix

Patient-centric medical homes are touted to fix the healthcare cost crisis, but the deep pockets and extensive IT resources they require aren't available to every healthcare provider.

9 Tablets For Doctors
9 Tablets For Doctors
(click image for larger view and for slideshow)
Debacle is certainly the right word to describe U.S. healthcare costs. Americans spend about $7,300 per year per person on healthcare, according to the April 2010 Harvard Business Review. And with an average U.S. lifespan of 78, that translates into about $570,000 per person over a lifetime. If we stay on this course, nearly half of the U.S. economy will be spent on medical care by 2080, the Congressional Budget Office says, which is essentially the road to bankruptcy.

The National Committee for Quality Assurance is one of healthcare's many stakeholders who suggest a patient-centric medical home is part of the solution to this mess. NCQA describes this medical home as "a healthcare setting that facilitates partnerships between individual patients and their personal physicians." Registries, IT, health information exchanges, and other tools facilitate care, assuring "that patients get the indicated care when and where they need and want it in a culturally and linguistically appropriate manner," NCQA says.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Wait a minute. I thought patients and physicians already are partners. Isn't that what's supposed to be happening in primary care practices?

But of course, we all know there are far too many Americans that don't have anything remotely approaching a real relationship with their caregivers, and more than a few people only see doctors in ERs for problems that are less than emergencies.

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

So how might a medical home address these issues and what role should IT play in this solution?

Two of the biggest problems in medical practice today, especially in smaller offices, are the difficulty of coordinating care with other providers and getting patients fully engaged in their own care.

Good care coordination can take many forms: Getting all the data needed from a discharge nurse when a patient is released from the hospital; tracking an elderly patient as he moves between home and a rehab facility; and keeping the lines of communication open with specialists once a patient is referred--these are only a few of the challenges.

Similarly, patient engagement can include post-visit reminders that encourage patients to follow dietary advice; a structured preventive care program that tracks which patients have received mammograms and colonoscopy screenings; and care for patients who can't get to the office as often as they should--think telemedicine.

In a health delivery organization with deep pockets, these tasks are all doable. University of Pittsburgh Medical Center, for instance, has put in place several tools and strategies as the basis upon which to build robust medical homes. Those building blocks include integration among many data sets; natural language processing; an intelligent, centralized document and medical image repository; and deep clinical analytics.

Starting with these building blocks, UPMC set out to create medical homes that connect all the resources that a patient is likely to use within a primary care physician practice. Those resources include pharmacy, long-term care, preventative, specialty care, home health, telehealth, and lifestyle coaching services. And they're all built on top of an IT infrastructure that includes data warehousing, patient and physician portals, data registries, and electronic health record (EHR) connectivity and interoperability.

UPMC Health Plan Patient Centered medical Home

In practical terms, that means patients assigned to a specific medical home are tracked so that their primary care physicians can find out where there are gaps in care and quickly plug them. Equally important, such an integrated system gives clinicians a much fuller picture of a patient's meds and diagnostic tests, which in turn lets the doctor catch unanticipated drug-drug interactions and avoid the cost of duplicate testing.

At UPMC, they take the medical home model even further, adding in insurance claims data. "Claims data offers additional value because it provides details on episodes of care that take place outside your world" i.e., outside the UPMC medical home, said Anne Boland Docimo, MD, UPMC Health Plan's chief medical officer, at the recent HIMSS conference.

So, for example, if Ms. Jones wound up in an ER while vacationing in Miami, that information would be available to her primary care physician in Pittsburgh because it would be part of her claims data.

The problem, of course, is how do you scale down this model so that small practices, not part of a large integrated healthcare provider group, would see the benefits. Unfortunately even a cursory look at the statistics indicates we're light years from making the medical home system work in smaller medical groups.

In a survey of primary care, specialty, and multispecialty practices by the Medical Group Management Association only 51% of practices with three or more physicians are using some kind of EHR. Even more disconcerting, the poll found that around half of the EHRs used by their members lacked key functions. For example, only 56% of respondents with EHRs said their systems could generate problem lists, and just 49% had EHRs that provided drug interaction warnings. And these EHRs only let clinicians see data within the practice itself, so they lack the ability to see patient data from other provider organizations.

Also bear in mind that the survey didn't look at solo and two-doctor offices, which no doubt are even less likely to have an adequate EHR.

A recent survey by the Centers for Disease Control and Prevention found that last year 57% of office-based physicians had an EHR. But 34% of the respondents had only what the researchers described as a "basic EHR." A basic EHR includes only a patient's medical history, demographics, diagnoses, medications, and allergies, as well as the ability to prescribe and view lab and imaging results electronically.

Put another way, about half of U.S. medical practices have yet to install an EHR and many of the systems that are in place are of the kindergarten variety, incapable of handling many of functions of a medical home.

Clearly the journey toward patient-centric medical homes, with its promise of care coordination and patient engagement, is going to be a long one.

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.