6 reasons why EMR projects falter

A recent vendor’s assessment report and advisory for a local hospital that is midway through an EMR implementation illustrates some reasons why EMR projects fail, and how common the most common mistakes are.

1. Lack of coordination. Wait, isn’t that what project management is all about? Coordination? The vendor’s report reads, “It appears that there is little oversight or accountability in the review of builds against the approved design decisions.” I’d say that’s a pretty serious lack of coordination.

2. Inadequate testing. Testing is pretty important when you are developing a tool that if poorly designed can cost a patient their life.  Typically in EMR work, testing is done at three or four distinct points in development. If those tests aren’t done or are poorly done, the finished product is defective, and patients welfare is at risk. And as this vendor pointed out to its client, it also results in costly rework and user (doctor and nurse) dissatisfaction.

3. Ignoring important information. Vendors typically send out informational bulletins about their products, as well as software updates, which the hospital or other provider’s technical staff needs to look at, analyze, and act on. In this case, critical bulletins were either ignored or not properly acted on. Software updates were late or improperly applied, resulting–again–in less than optimal functionality of the system, and–again–dampened satisfaction among the clinical users. Again, delaying the updates also can result in costly rework later on.

4. Making the product more complex than necessary. Technical people are prone to use a gadget or a software configuration option just because it’s there. Using a particular piece of functionality may not make things easier for the end user. It may actually make things more difficult, and may scuttle a workflow that was working fine before the new technology was introduced. My favorite Einstein quote is “Make everything as simple as possible, but not simpler”. That little piece of wisdom should be tattooed on the arm of every CIO and IT analyst in the nation.

5. The physicians (and other clinicians) do not have enough input in the process. This particular vendor’s report calls this point repeatedly. “We recommend these decisions be reconsidered with input from end users, including physicians.” This recommendation several times. As well as the physicians, all the end users–nurses, pharmacists, dietitians, and therapists–need to be consulted, and the work that they do has to be thoroughly understood by the people that are configuring the software. Whatever it takes to facilitate this communication has to happen before the installation manual is even opened.

6. Best practices are rarely followed consistently. Everyone has days when they can’t follow the simplest instructions. Bad hair days, fuzzy Fridays, call them what you will. Your implementation plan, at a high level, has to account for the human factor in everything you are trying to accomplish in your EMR implementation. As part of your design, you have to design reliable feedback and quality control mechanisms that will get you back on track if you should divert for one of these human reasons.

We’ve been doing EMR implementations long enough now. there are volumes full of best practices. Why do we still have little hospitals trying to reinvent the wheel? And it’s not just little hospitals. Big famous ones, like Cedars-Sinai in Hollywood, routinely miss human error in the planning stage, and it haunts those projects and those humans all through implementation.

Too-tight timelines, poor communications between departments and work groups all can spell disaster at any time, and safeguards aren’t designed in, time and money is lost, and–back to item 2.–patient’s lives can be endangered.

8 predictions for healthcare and HIT – 2010 and beyond

It seems that like for the past few days I’ve been blogging about nothing but our homeowner’s association. Today, time to take a break from that. I am, after all, a nurse. And a nurse with an interest in technology in health care. Unlike most bloggers in that space, I didn’t make my decade predictions on how technology in healthcare will roll out over the next few years. So here goes:

  1. Governmental efforts to push healthcare reform and healthcare technological advancement will meet increasing resistance. Tax dollars will continue to flow into these areas, for the time being, but return on investment will become increasing difficult to prove, and improvement in patient outcomes will stall as clinical IT departments realize how complex healthcare really is (even compared to computer programming).
  2. In effort to attract government funding, large healthcare organizations will spend more on IT implementation and improvement projects. However, there really isn’t anything exciting happening with project management methodology, so many healthcare dollars, both private and public will be wasted. Smaller organizations–the 80% of all healthcare–will find that the government cash incentives for them to automate are not sufficient for them to actually make the leap.
  3. There will be more consolidation–smaller organizations being swallowed up by larger ones–in an effort to increase scale to improve profitability. Then, the pendulum will swing the other way, as the behemoths, scale back down in an effort to rediscover their core competencies. Some true giants will enter the mix, probably. A Microsoft or a Google getting serious about healthcare would change the big picture forever, even if their incursions into the healthcare space were temporary.
  4. A bigger piece of the healthcare dollar will be spent on regulatory compliance, as government realizes it will have the technology to measure and regulate more of the healthcare world.
  5. New technologies will continue to roll into the marketplace. Google-type web-based systems and cloud computing will become more common, as security and privacy experts race to keep up in protecting patient rights. Tablet-type and smart-phone-type devices will be common devices in the healthcare setting, as will many new devices designed to measure physiological functions. The challenge will be in what to do with all the new data.
  6. New healthcare technology will move out to the rural areas and under-served in urban areas, as the technology itself becomes cheaper and as high-speed connectivity becomes common.
  7. The Baby Boom will crescendo, as boomers struggle to care for aging parents. The boomers, of course, are aging as well and are putting increasing demands on novel and unstable technologies and systems. Hopefully, there is not some sort of “tipping point” looming, where the whole universe collapses into chaos.
  8. The political arena, which has controlled so much of what happens in healthcare, will transform, as providers and patients alike gain access, through technology, into the deepest levels of the decision-making process. That is, we become smarter than the civil service and the many other bureaucracies that permeate and control healthcare today! Joy! Sorry, this wasn’t meant to be too Utopian.

What are your predictions for healthcare? Innovative or more-of-the-same. We want to hear your thoughts. Please Comment!

I got WPtoGo going!

So, this is a test to see how accurately voice recognition on the Nexus One works. I can say that, without a doubt, it works quite well. I’m typing now, but the first sentence–”So, this . . .”–was spoken into my Nexus One, transcribed into WPtoGo, and uploaded from my N1 to my blog! Pretty incredible. I think that as I become more adept with using the voice recognition, and learning the workflow–dictate to draft to upload–I’m going to start liking this whole blogging thing a lot more.