Medical records are coming to your phone with increased operability. Learn more about Apple's Health app here.
The leading voices in healthcare are talking about the next big thing on the horizon. That would be CHR (Comprehensive Health Record). But what about the unfinished business that still exists for healthcare records? How do you incorporate the data from incoming external documents that bog down clinics and hospitals? This data comes from faxes, paper, and scanning workflows.
Patients feel that they aren’t getting quality care from their physicians. They are being incorrectly diagnosed because they simply aren’t getting more than 15-minutes with their physicians. Their questions aren’t being answered, but instead being directed towards nurses. Patients are feeling more and more like Dorothy from the Wizard of Oz, on a journey to the Emerald City to find the Wizard and ask the for help.
The Merit-based Incentive Payment System (MIPS) has been in place for over 4 months now. It consolidated and improved Meaningful Use, PQRS, and VBPM and added some new Improvement Activities to your to-do list. By all accounts, it's a better system that will hopefully improve the healthcare we receive across the nation. But that doesn’t mean it hasn’t been a lot of work!
Many of you know the fairly tale tilted, "Goldilocks and the Three Bears." Upon entering the home of the Three Bears, Goldilocks sits in their chairs, eats their porridge, and falls asleep in their beds. Upon sampling each of the Bear's chairs, porridge, and beds she exclaims that one is too much, the other is not enough, but the last option is just right. What does this fairy tale have to do with Healthcare data and performing one's job, you may ask?
Once again I had the pleasure of attending the 24th Annual UNOS Transplant Management Forum for my 4th time earlier this year. As always, it was a flurry of learning, knowledge-sharing, networking, and well-deserved awards for leaders in the industry.
It was as apparent this time as it was every time before, that the transplant community is a close-knit group who all struggle with similar things regardless of their geographical location. These struggles span across many areas, including financial, staffing, regulatory requirements, lack of organs, information technology, reporting, managing the constant deluge of paper, and many more. While I can't claim that Extract can help with all of these, there are two specific struggles that we excel at fixing: extracting discrete results from faxed external lab results and intelligently splitting, classifying, and filing large documents (such as referral packets) into patients' charts.
I recently spent three days driving across the northern Midwestern States and through a good part of Canada with a longtime friend as we headed to a once-in-a-lifetime wilderness adventure. As you might imagine our conversations spanning those 72 hours took as many twists and turns as did the roads we traveled. However, one saying my friend repeated several times stood out among many insightful remarks he’d made, “Your judgement is only as good as your information.“
Despite massive adoption of electronic medical records over the past several years, the promise of easy and nearly effortless chart abstraction from electronic medical records enabled by an interconnected web of interoperable EMRs sharing standardized data has yet to be fully realized. You need to look no further than the media tab to see the evidence that we have yet to arrive at this Utopian future.
Recently, Andy Slavitt, the CMS acting administrator, announced that CMS will likely end the Meaningful Use program this year.
Does that mean that the hopes of an internet-worked healthcare system that’s able to seamlessly share health information are completely dashed before interoperability truly got off the ground?
There’s no question that users rely on the EMR In Basket for day-to-day workflow management. The “In Basket” or “Inbox,” depending on what EMR you’re using, provides a centralized location to receive notifications and important patient information, such as admission and discharge notifications, new lab results, refill requests, patient calls, appointment reminders, patient portal communication and much more.
Do you frequently find yourself searching for and routing documents, whether paper or electronic, to colleagues, care team members or departments that need them? Or, worse do you find yourself waiting for documents to be routed to you? In our work, helping hospitals to automate clinical data abstraction, we're struck by the hours of time lost each day to inefficient workflows involving "loose" records that we often find ourselves helping our customers extract data from.
If you've ever managed an EMR data conversion, you likely know how painful data conversions can be. They require someone with intimate knowledge of the old EMR to write complex queries to extract the data in the format that the new EMR requires it to be in. In addition, at some point in the process you have to transform the old values into the new system's values (assuming they can be mapped at all!). Even if you have experienced, intelligent people and excellent vendor support during this process it is expensive, time-consuming, risky, and can delay your go-live. So, what if you don't have experienced people and good vendor support for your healthcare data conversion? Believe me, it's gonna get ugly.