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Tag: HIT

An Open Letter to the President: The Danger in Promoting the “Digitization of Disaster Recovery”

Dear Mr. President:

I served in your White House; to do so was among the highest honors of my life and an incomparable professional opportunity.

Since 2009, I’ve sought to return the favor by building on a decade as a journalist to write about the unsung innovation I saw happening beneath the public’s radar.  (The federal government has never been great about describing its positive achievements, but this unintentional “humility” is worsened by too much media reliance on muckraking to generate cheap content.) The prize for some of your Administration’s improvements will be billions of dollars’ worth of process efficiency and an ability to retain social-good programs while slashing redundancy and phasing out archaic ways of doing business.  All politics aside, I watched these mechanisms with my own wide eyes.

But if one is to deliver praise like I just did, then one must also be willing to highlight dangerous errors in the path ahead, especially when the potholes are avoidable.  As a subject matter expert on emergency medical technologies, I have a patriotic duty to point out correctible overstatements and oversimplifications that, if left uncorrected, could undermine your Administration’s objective to bolster the public’s senses of safety, security and comfort—especially as it simultaneously emphasizes the danger of man-made and natural disasters.

On July 9, 2013, your White House sent out a “marketing” email entitled “President Obama’s Plan for Using Technology to Make Government Smarter.” The email contained the following three bullets:

  • Increasing efficiency and saving money.  CHECK: A worthy goal, and one that I had the chance to see put in action from the inside-out, as part of the project team that relaunched USAJOBS.gov—the so-called “face of federal hiring.”  The White House email cited cost reductions of our $2.5 billion; that seems reasonable, considering how extensive an effort went into collapsing duplicative data silos and databases, and modernizing the federal government’s technical infrastructure.  Vivek Kundra, the visionary former federal Chief Information Officer, should be a central figure in every conversation about government’s meaningful gravitation toward efficiency; he earned more credit than he gets (but that’s not why people work in government).
  • Opening government data to fuel innovation and problem-solving: CHECK: The Administration claims that it is opening “huge amounts of government data to the American people, and putting it on the internet for free.”  There are many ways in which this is true, ranging from Data.gov to the Blue Button Initiative, to a (relative) simplification of the grant-making process.  (The latter is better than it was, but it still is eons from intuitive or fair.)  Much controversy now swirls around actions that the government still keeps secret, but that cannot detract from the fact that a veritable cornucopia of information has been released, and it is indeed spurring creativity.  Unfortunately, my own firm uncovered a challenging corollary problem that goes hand-in-hand with the release of oodles of data: at least some of those data are bad, faulty or incomplete, yet when we tried contacting the appropriate agency to close the gap and strive for accuracy, we were met with silence.

The last bullet in the White House’s email, however, does not deserve a “CHECK.” Rather, it is concerning and arguably more dangerous than whoever drafted the outreach piece likely realized.  It also touches on something I know a bit about.

Replacing Farzad

In the wake of the National Coordinator’s announcement that he is departing, there has been a flurry of tweets, blog posts, impromptu online polls, and conjecture about the most likely successor.  To date, none of these conversations has resulted in a thoughtful assessment of the set of characteristics that would represent the ideal candidate, nor has there been any thorough review of the most likely candidates in the context of these attributes.  The need for a rapid transition to a successor is well understood by all – yet there has been no indication that the Obama administration is in a hurry.  Let’s hope that we can evolve them toward a greater sense of urgency. The fragility of ONC – and the importance of its health – can’t be overlooked.

Let’s consider some history:

The first two National Coordinators, David Brailer and Rob Kolodner, were appointed before ARRA.  The agency was small, focused largely on certification (through CCHIT), standards (through HITSP) and policy.  When ARRA arrived, David Blumenthal, a thoughtful, deliberate, policy-savvy internal medicine physician from Boston was brought in to lead the rapid expansion of health IT that was facilitated by the HITECH Act.

ONC expanded under Blumenthal from a team of ~ 30 people to a team of >100 in the two years that he was at the helm, and the agency published the 2011 certification criteria regulations, and collaborated with CMS to publish the regulations that defined stage 1 of the Meaningful Use incentive program.  The policy foundation was that the three-stage program – to be implemented over six years – would evolve the nation’s care delivery system by causing adoption of EHR technology (stage 1) and then exchange of clinical information electronically (stage 2) and finally improved clinical outcomes (stage 3).

Farzad Mostashari, who joined Blumenthal as the Deputy National Coordinator early in Dr Blumenthal’s tenure, was quickly named as Blumenthal’s successor when Blumenthal announced his resignation in the Spring of 2011.  Both Mostashari and Blumenthal pushed hard for Mostashari’s appointment – so that the consistency, focus and forward momentum of the organization could be maintained.

And so it was.  Under ARRA, adoption of EHRs has skyrocketed.  The CMS MU Stage 2 regulations and the ONC 2014 certification regulations were published, and the size of the agency has doubled to over 150 people.  Recognizing the need for experienced partners to assist him in leading a larger agency – and growing national reliance on health IT and an essential component of the care delivery ecosystem – Mostashari hired David Muntz as the “Principal Deputy” (essentially the COO of the agency), Jacob Reider as Chief Medical Officer (leading a team of clinicians focused on quality and safety) and Judy Murphy as the Deputy National Coordinator for Programs and Policy (adding internal coordination support for ONC programs).

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What the Recent Data Breach Says About the State of Health IT

Recently officials at Oregon Health Sciences University discovered that residents in several departments were storing patient information on Google Drive, and had been doing so for the past two years. They treated this discovery as a breach of privacy and notified 3000 patients about the incident.

While I don’t condone the storage of patient information on unapproved services like Gmail or Google Drive, this incident pretty much highlights the sorry state of information systems within the hospital and the unfulfilled need by physicians for tools that facilitate workflow and patient care.

It says something that the Oregon residents felt compelled to take such a drastic action. I don’t know what punishment – if any – those responsible were given by administrators for their “crimes.” I’ll leave it to readers to make up their own minds about the wisdom of the unauthorized workaround and the appropriateness of any punishment. But I do know that the message the incident sends is a very clear one.

We’re screwing this up. There is really no earthly reason why it should be any more difficult to share a patient record than it is to share a Word doc, a Powerpoint or yes, even a cloud-based Google Drive spreadsheet.

Why the Breach Happened

What’s going on here? Let’s say I admit a patient to the hospital.  Our friend was hospitalized here just last month, and like many patients, he has dementia or is poorly educated, and does not know the names of the medications he takes. Unfortunately, I don’t have the ability to see what he takes or how he was treated during the prior admission because the records in the computer are there for documentation’s sake and don’t contain any meaningful information. This is clearly a problem for me.

Therefore I will spend time calling outside facilities to gather information and repeat several tests and imaging procedures.

Medical care has become a team sport, and residents have developed systems for keeping track of their patients and communicating to other physicians. It takes some time to think about and process each patient that comes in, to consolidate all the information. Ultimately, I need to boil that information down to a five-minute description on the patient, their problems, the status of their current admission, and what needs to happen before they go home.  We do this in the form of a signout document.

Figure: The signout document has four to five columns and includes the To Do list for each patient.

The EMR does not have a good way to store information in this format, and  additionally I have no way of editing this in real-time to communicate with my
coworkers what still needs to be done. That’s why residents were storing their  signouts in Google Drive.

What providers need here is simple data management. We need to store and access this list from different computers. We need the ability to enter a subset of those data  using a custom form, and the ability to print subsets of those data to create a To Do lists, rounding sheets, or progress notes.Continue reading…

Providers Are Held Accountable. Why Aren’t Technology Vendors?

As healthcare shifts from fee-for-service to fee-for-value, hospitals and physicians are increasingly being held accountable for outcomes by the government, payers and patients. Historically, provider organizations only had to meet performance criteria to earn a pay-for-performance bonuses or hospital certification, but with the arrival of Accountable Care Organizations (ACO), Meaningful Use and other programs, payment is now based on to quality of care rather than quantity of services.

Health information technology (HIT) systems are able to track physician actions and measure outcomes down to the individual patient level and allow organizations to closely monitor the quality levels of a given physician. These same tools should be able to monitor the performance of the vendors who are there to support these clinicians. With patient engagement solutions, for example, vendors claim they can help improve HCAHPS scores, treatment adherence, patient outcomes, and reduce costs, but have no evidence to back it up.

Vendors should be willing to commit to their patient engagement promises, present proof showing improved outcomes and face some financial risk for failing to deliver.

Global accountability

Since patient engagement was included in the Centers for Medicare and Medicaid Solutions’ Meaningful Use of Electronic Health Records program, it has become a popular buzzword. Every HIT vendor claims to offer tools to assist providers with this important clinical quality issue, but no one is holding anyone accountable.

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The Affordable Care Act Will Fail Without Patient Engagement

What’s behind the recent EHR public relations blitz and our passionate debate in The Health Care Blog? It’s fear for the Affordable Care Act’s future. Oh, the ACA can weather political challenge in the short term, but in the long run, only health cost containment will matter. EHRs are the ship that institutions are counting on to navigate payment reform and, from the institutional perspective, physicians and patients are just along for the ride. From the citizen perspective however, cost containment will be seen as rationing unless patients and physicians are appropriately engaged in the most costly decisions.

The impact of yet more regulations, such as Stage 3 Meaningful Use, could be too late to save the ACA. For now, the administration and those of us that hope the ACA succeeds must work to shift EHR vendors and their institutional customers toward patient engagement using the tools of policy guidance, public relations and federal procurement.

First, a crash course in health economics. If you have a few minutes, read Accountable Care Organizations: Can We Have Our Cake and Eat It Too? by Jessica L. Mantel. Otherwise, just struggle through the next two paragraphs summarizing why EHRs are the lynchpin of health reform via the ACA.

Cost containment requires either cost controls or a shift away from fee-for-service payment. The ACA is based on accountable care as an alternative to fee-for-service. Accountable Care Organization (ACO) is shorthand for the new health care payments regime. By paying ACO institutions instead of individual service providers, health insurance companies and Medicare provide direct economic incentives to reduce waste, lower costs and, if we’re not careful, withhold needed care. An ACO is by definition an organization or institutional construct.

The EHR is is not the Jedi knight’s lightsaber, it is an institutional tool designed to bind the individual service providers into the Federation’s collective. Not surprisingly, patient engagement is an afterthought.

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More Work Is Needed on the Safety and Efficacy of Healthcare Information Technology

If one were writing about the improvement of gastronomy in America, one would probably not celebrate “over 300 billion hamburgers served.”  But that’s very much the type of success Dr. Ashish Jha is celebrating in last week’s piece on recent US healthcare IT sales. Unfortunately, the proliferation of Big Macs does not reflect superior cuisine, and healthcare IT (HIT) sales do not equate with better healthcare or with better health. Quantity does not equal quality of care.

To be sure, Dr. Jha acknowledges the challenges of rolling out HIT throughout US hospitals. And he should be strongly commended for his admission that HIT doesn’t capture care by many specialists and doesn’t save money. In addition, Dr. Jha points to the general inability of hospitals, outpatient physicians and laboratories to transfer data among themselves as a reason for HIT’s meager results.

But this is a circular argument and not an excuse. It is the vendors’ insistence on isolated proprietary systems (and the government’s acquiescence to the vendors) that created this lack of communication (non-interoperability) which so limits one of HIT’s most valuable benefits.

In our opinion, the major concern is that the blog post fails to answer the question we ask our PhD students:

So what? What is the outcome?

This entire effort is fueled by $29 billion in government subsidies and incentives, and by trillions of dollars spent and to be spent by hospitals, doctors and others [1].

So where is the evidence to back up the government’s and industry’s promises of lower mortality, improved health and lower health care costs?

Single studies tell us little. Sadly, as many as 90% of health IT studies fail the minimal criteria of the respected international literature syntheses conducted by the Cochrane Collaboration.

In other words, studies with weak methodology or sweetheart evaluation arrangements just don’t count as evidence.
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Five Potential Healthcare Applications for Google Glass

Last week I had the opportunity to test Google Glass.

It’s basically an Android smartphone (without the cellular transmitter) capable of running Android apps, built into a pair of glasses.  The small prism “screen” displays video at half HD resolution.  The sound features use bone conduction, so only the wearer can hear audio output.   It has a motion sensitive accelerometer for gestural commands.    It has a microphone to support voice commands.   The right temple is a touch pad.  It has WiFi and Bluetooth.   Battery power lasts about a day per charge.

Of course, there have been parodies of the user experience but I believe that clinicians can successfully use Google Glass to improve quality, safety, and efficiency in a manner that is less bothersome to the patients than a clinician staring at a keyboard.

Here are few examples:

1.  Meaningful Use Stage 2 for Hospitals – Electronic Medication Admission Records must include the use of “assistive technology” to ensure the right dose of the right medication is given via the right route to the right patient at the right time.   Today, many hospitals unit dose bar code every medication – a painful process.   Imagine instead that a nurse puts on a pair of glasses, walks in the room and wi-fi geolocation shows the nurse a picture of the patient in the room who should be receiving medications.  Then, pictures of the medications will be shown one at a time.  The temple touch user interface could be used to scroll through medication pictures and even indicate that they were administered.

2.  Clinical documentation – All of us are trying hard to document the clinical encounter using templates, macros, voice recognition, natural language processing and clinical documentation improvement tools.     However, our documentation models may misalign with the ways patients communicate and doctors conceptualize medical information per Ross Koppel’s excellent JAMIA article.  Maybe the best clinical documentation is real time video of the patient encounter, captured from the vantage point of the clinician’s Google Glass.   Every audio/visual cue that the clinician sees and hears will be faithfully recorded.

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As the Debate Over Obamacare Implementation Rages, a Success on the IT Front

Just a little over four years ago, President Obama, in his inaugural address, challenged us as a nation to “wield technology’s wonders to raise health care’s quality and lower its costs.”  This was an awe-inspiring, “we will go to the moon” moment for the healthcare delivery system.  But the next thought that ran through the minds of so many of us who work on health IT issues was this: how were we going to get there?

We were essentially starting from scratch.  Less than 1 in 10 hospitals had an electronic health record, and for ambulatory care physicians, the numbers weren’t much better – about 1 in 6 had an EHR.  Hospitals and physicians reported an array of challenges that were holding them back.  No nation our size with a healthcare system as complex as ours had even come close to universal EHR use.  Yet, the President was calling for this by just 2014.

And it was clear why.  The promise of EHRs was enormous and we knew that paper-based records were a disaster.  They lead to lots of errors and a lot of waste.  I have cared for patients using paper-based records and using electronic records – and I’m a much better clinician when I’m using an EHR.  In the weeks that followed Obama’s inaugural address, the U.S. Congress passed, and the President signed the Health Information Technology for Economic and Clinical Health Act, which contained a series of incentives and tools to drive adoption and “meaningful use” of EHRs. None of us knew whether the policy tools just handed to the Obama administration were going to be enough to climb the mountain to universal EHR use.  We were starting at sea level and had a long climb ahead.
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Building Cost and Quality Into the Electronic Medical Record

Trends in US healthcare expenditures are financially unsustainable (1). I would like to propose two tweaks of the healthcare delivery process that may, in a small way, help rectify this problem.

Although there is a widespread impression that health information technology (HIT) will eventually “bend” the cost curve and put healthcare spending on a sustainable course, there is, as of yet, little data that convincingly supports this hypothesis (2).

Kaiser Permanente is a large, integrated healthcare delivery system which has invested heavily in HIT. George C. Halvorson, the chairman and CEO of Kaiser Permanente appears to have concluded that this investment will not solve the healthcare cost issue, when he was quoted in the New York Times (3/20/13) as stating “We think the future of health care is going to be rationing or re-engineering.”

Because HIT, as currently implemented, will probably not solve the healthcare cost problem, I would like to suggest a minor “re-engineering” of the electronic health record user interface which may help bend the cost curve.

At every office visit, the physician must make a myriad of decisions which incrementally effect the nation’s total healthcare expenditures. For example, the physician will have to decide which medicine to prescribe, and which radiology study or laboratory test to order.

In many situations, there is more than one acceptable choice. The physician’s ultimate decision will integrate their understanding of the disease process, the treatment’s side effect profile, their familiarity with the treatment options, patient preferences and many other variables.

I would suggest that every time a physician is about to order a test or a prescription, the cost of the test or prescription should be displayed to the physician. In the same vein, whenever a computer displays a test result, the cost of the test is immediately available to the reader. This information could then become an additional factor that the physician may choose to integrate (or ignore) at the moment when he/she is about to commit the patient and society (which is now paying >50% of all healthcare bills) to another healthcare expenditure. In terms of a risk/benefit analysis, I can see little downside to providing this cost information to physicians.

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Datapalooza Report on Data Economics and a Call for Reciprocity

Uwe Reinhardt said it perfectly in a Tuesday plenary but I can only paraphrase his point: “health information is a public good that brings more wealth the more people use it.” Or, as Doc Searls puts it: personal data is worth more the more it is used. Datapalooza is certainly the largest meeting of the year focused on health data, and our Health and Human Services data liberation army was in full regalia. My assessment is: so far, so good but, as always, each data liberation maneuver also reveals the next fortified position just ahead. This post will highlight reciprocity as a new challenge to the data economy.

The economic value of health data is immense. Without our data it’s simply impossible to independently measure quality, get independent second opinions or control family health expenses. The US is wasting $750 Billion per year on health care which boils down to $3,000 per year that each man, woman and child is flushing down the drain.

Data liberation is a battle in the cloud and on the ground. In the cloud, we have waves of data releases from massive federal data arsenals. These are the essential roadmap or graph to guide our health policy decisions. I will say no more about this because I expect Fred Trotter (who is doing an amazing job of leading in this space) will cover the anonymous and statistical aspects of the data economy. Data in the cloud provides the basis for clinical decision support.
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