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Tag: HIT

The Long Road From March to November

In politics, a month is a lifetime, and 7 months is an eternity. It’s four months from now to late June when the Supreme Court issues its ruling on the health law, and it’s several months until the election.

No one knows what will happen between now and the election. But whatever occurs, it will be a psychological and political time.

Democrats will put on a brave face. They will say it’s not over until it’s over, that the individual mandate was originally a Republican and Romney idea, that the justices will come to their senses, that this is a moral not a constitutional issue.

Republicans will say that the health law is a train wreck, that it was rooted in ego and arrogance of an overly ambitious president, that Democrats poisoned the whole politics process by completely ignoring the other party and the American public, and that the whole idea of individual and Medicaid mandates is toast.

If they are smart, and there is no guarantee of that, the GOP will issue a detailed alternative plan resting on incremental market reforms with proper government oversight.

Inaction “ on Massive Scale

Over the next seven months, we are likely to have “inaction,” if I may borrow a term from the hearings, on a massive scale.

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The Effect Of Physicians’ Electronic Access To Tests: A Response To Farzad Mostashari

Our recent Health Affairs article linking increased test ordering to electronic access to results has elicited heated responses, including a blog post by Farzad Mostashari, National Coordinator for Health IT.  Some of the assertions in his blog post are mistaken.  Some take us to task for claims we never made, or for studying only some of the myriad issues relevant to medical computing.  And many reflect wishful thinking regarding health IT; an acceptance of deeply flawed evidence of its benefit, and skepticism about solid data that leads to unwelcome conclusions.

Dr. Mostashari’s critique of our paper, will, we hope, open a fruitful dialogue.  We trust that in the interest of fairness he will direct readers to our response on his agency’s site.

Our study analyzed government survey data on a nationally representative sample of 28,741 patient visits to 1187 office-based physicians.  We found that electronic access to computerized imaging results (either the report or the actual image) was associated with a 40% -70% increase in imaging tests, including sharp increases in expensive tests like MRIs and CT scans; the findings for blood tests were similar.  Although the survey did not collect data on payments for the tests, it’s hard to imagine how a 40% to 70% increase in testing could fail to increase imaging costs.

Dr. Mostashari’s statement that “reducing test orders is not the way that health IT is meant to reduce costs” is surprising, and contradicts statements by his predecessor as National Coordinator that electronic access to a previous CT scan helped him to avoid ordering a duplicate and “saved a whole bunch of money.” A Rand study, widely cited by health IT advocates including President Obama, estimated that health IT would save $6.6 billion annually on outpatient imaging and lab testing.  Another frequently quoted estimate of HIT-based savings projected annual cost reductions of $8.3 billion on imaging and $8.1 billion on lab testing.

We focused on electronic access to results because the common understanding of how health IT might decrease test ordering is that it would facilitate retrieval of previous results, avoiding duplicate tests.  Indeed, it’s clear from the extensive press coverage that our study was seen as contravening this “conventional wisdom”.

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The Political Economy of Health Information Technology

Healthcare reform is arguably the hot-button political issue of our time. And with the Supreme Court locked and loaded to decide the fate of the Affordable Care Act this summer, it’s a safe bet the controversial two-year-old legislation will have a huge impact on the 2012 election and beyond.

But what about health IT? If “Obamacare” has been a lightning rod, sparking historically nasty partisan bickering – Congress vs. President Obama, Republicans vs. Democrats, Fox News vs. MSNBC, the Tea Party vs. MoveOn.org – Washington’s efforts to spur healthcare information technology have enjoyed much broader support, on both sides of the aisle.

Just last week, a Washington think tank whose healthcare wing is led by two erstwhile rival Senate Majority Leaders put its weight behind smarter and more widespread use of technology and data exchange in healthcare organizations nationwide.

“To deliver high-quality, cost-effective care, a physician or hospital needs good information,” said former senator Bill Frist, MD, upon the release of a report, on Jan. 27, from the Bipartisan Policy Center’s Task Force on Delivery System Reform and Health IT. “Data about patients has to flow across primary care physicians, hospitals, labs, and anywhere that patients receive care.”

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Thinking About the Bipartisan Policy Center Report on Health IT


There are few issue areas within the Beltway of Washington, DC, that have enjoyed more support across the political aisle than health care information technology. In 2004, George Bush asserted that every American would/should have an electronic medical record by 2014. Since then, Democrats and Republicans alike have supported the broad concept of wiring the U.S. health information infrastructure.

With the injection of ARRA stimulus funds earmarked in the HITECH Act to promote health providers’ adoption of electronic health records, we’re now on the road to Americans getting access to their health information electronically. It won’t be all or even most U.S. health citizens by 2014, but it will millions.

Just how solid is political support for health IT these days, then? An important report, Transforming Health Care: The Role of Health IT, from the Bipartisan Policy Center Task Froce on Delivery System Reform and Health IT published in January 2012, talks about the gaps and obstacles to achieving an interoperable, accessible health IT infrastructure.

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Why Hospitals Continue to Fail in ‘Connecting the Dots’ With Their Data, and What They Can Do to Change

The world is awash in data. It is estimated that the amount of digital information increases ten-fold every few years, with data growing at a compound annual rate of 60 percent. The big technology company Cisco has forecast that by 2013, the amount of traffic flowing over the internet annually will reach 667 exabytes. Just to put that in perspective, one exabyte of data is the equivalent of more than 4,000 times the information stored in the US Library of Congress.

This data explosion – now rather imprecisely dubbed “big data” – is both an opportunity and a curse. Having all of that information makes it possible to do things that were previously never even imaginable. Last year, the McKinsey Global Institute (MGI) conducted a major research study on big data, calling it “the next frontier for innovation, competition, and productivity.” The MGI study noted that big data is becoming even more valuable as our analytical and computing abilities continue to expand.

On the “curse” side of the big data phenomenon, the growing mountains of information also pose massive challenges to those who need to manage it. Having ever greater volumes of data to sift through to find critical insights (the proverbial needle in the digital haystack), is a growing problem for companies, organizations, and governments the world over. Sometimes, there really is such a thing as too much information.

The data deluge is especially urgent for hospitals, which are factories of data. In the typical hospital, data flows from every department and function – from emergency department admission records and HR systems, to purchasing and billing information. But, hospitals are not exactly known for effectively managing data. The healthcare provider sector is probably 20 years behind other major industry domains in terms of how its uses data. Many hospitals fail to realize the value of the data they do have – or they are overly focused on EMRs.

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Listen to What Innovators Don’t Talk About

While working away on my laptop at a hotel breakfast, I couldn’t help but overhear the four gentlemen poring over an iPad two tables way. Their intense discussion revolved around rolling out their high-tech prototypes in a medical care complex. Since I’ve written about prototypes and prototyping, I couldn’t help but eavesdrop.

Forgive me.

The foursome represented a mix of medical care complex personnel and what was clearly an entrepreneurial innovator with a potentially high-impact idea. I’ll skip the technical details, but this was clearly a sophisticated group who were both smart and ambitious. The prototypes were their gateways to success. Their debates included whether it made more sense to field one or two more “finished” prototypes or whether they could get more information more quickly by fielding “roughs.” Were “staggered roll-outs” more cost-effective than “staggered builds”? They talked about the need to be able to “patch” quickly and whether their prototypes should optimize particular subsystems or overall system performance. They argued timelines and sequencing for test.

These questions are classic and it’s always fascinating to hear how — and what — decides them. Getting great value and insight from prototypes and pilots is more an art and craft than a science. Successful tech prototyping in health care contexts is particularly demanding.

That’s why the more passionately they spoke, the more nervous I got. Something was missing. Whenever innovators gather, I always listen for what’s not discussed. In almost 50 minutes of detailed discussion (yes, I am that kind of eavesdropper), I heard not a single mention, reference or allusion to the challenge of training the people onsite on how best to use or learn from the prototype. Details of prototype design and roll out were discussed as if the medical care personnel were irrelevant to the process. It reeked of “over the wall” technology transfer. OMG.

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How Healthcare’s Embrace of Mobility has Turned Dangerous


No industry has adopted mobility faster than healthcare.

Doctors love their devices. 81% of physicians have smartphones. They also love their apps. 38% of them use medical apps daily. One-third use smartphones or tablets to access electronic medical records today, with another 20% expecting to start using them this year.

For instance, 200 doctors and nurses at Charite Berlin, one of Europe’s largest hospitals, are piloting SAP’s new Electronic Medical Record app on iPad.

The app allows medical providers to trade their clipboards for (electronic) tablets, which present them a clean dashboard that lets them drill down into data such as medical history, medications (and allergies), X-rays and vital signs. It pulls that data down from a speedy SAP Hana in-memory database.

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Why Didn’t ICD-10 Implementation Bring Down Europe’s Health System?

We’re seeing a lot of pushback against ICD-10 implementation, with the American Medical Association’s “vigorous opposition” at the extreme. Gloom and doom types equate to potential IT disaster to Y2K. Ever since watching T. Bedirhan Üstün, M.D. — curator of the International Classification of Diseases, the master coding set from which ICD-10 is derived – present at the American Health Information Managers (AHIMA) annual meeting last October, a question’s been gnawing at me:

If flipping the switch on ICD-10 come Oct. 1, 2013 will be such a disaster as groups like the AMA claim it will be, then why didn’t it bring down the European and Asian health systems that implemented their own flavors of ICD-10 years ago?

The reporter in me – especially when hearing people couch ICD-10 in terms like “unfunded mandate” and “sky-is-falling” hyperbole – suspects it’s all about politics. During the course of debate in these times, it seems as if people on both the left and right resort to browbeating rhetoric faster than I’ve ever seen in my life. And why not? Reciting the catchphrase du jour requires far less reasoning than a well-constructed, original thought.

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The Do’s and Don’ts of Hospital Health IT

Last year I started a series of “Do’s and Don’ts” in hospital tech by focusing on wireless technologies. Folks asked a lot of questions about do’s and don’ts in other tech areas so here’s a list of more tips and tricks:

  • Do start implementing cloud-based services. Don’t think, though, that just because you are implementing cloud services that you will have less infrastructure or related work to do. Cloud services, especially in the SaaS realm, are “application-centric” solutions and as such the infrastructure requirements remain pretty substantial – especially the sophistication of the network infrastructure.
  • Do consider programmable and app-driven content management and document management systems as a core for their electronic health records instead of special-purpose EHR systems written decades ago. Don’t install new EHRs that don’t have robust document management capabilities. Do consider EHRs that can be easily integrated with document and content management systems like SharePoint or Alfresco.
  • Do go after virtualization for almost all apps – as soon as possible, make it so that no applications are sitting in physical servers. Don’t invest more in any apps that cannot easily be virtualized.

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A Look Back at 2011

2011 was a year of change and tumult. For a day by day look at the top stories of 2011, check out this impressive chart from the UK Guardian.

It was a year in which the economy sputtered worldwide, the Arab Spring toppled several regimes, and unprecedented acts of nature (severe weather, earthquakes) caused billions in worldwide damage.

What about the world of healthcare IT?

Federal

In 2011, Meaningful Use and Certification accelerated healthcare IT adoption and doubled implementation of EHRs throughout the country. Every aspect of the industry was stressed along the way

  • Vendors were challenged to add the features necessary for certification resulting in some “haste makes waste” lack of usability and workflow integration. GE admitted its faults and should be congratulated for its honesty, since many other vendors had the same problems but did not communicate them.
  • IT organizations created productivity miracles to meet meaningful use timeframes with limited staff and limited budgets. Many organizations will apply their meaningful use payments to general operations and not IT department budget increases, so the sacrifice of IT staff may remain unrecognized.
  • Providers had to radically change workflows to accommodate new business processes, resulting in staff turnover and short term frustration.

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