If you've read prior HealthyData blogs such as this one, then you know that we're doing some pretty "classy" things when it comes to handling your incoming documents. This includes putting those documents into the correct section of the EMR chart with nothing more than a quick once-over. This is something we're very excited about and are quite confident that it will change the way document handling is viewed by your organization.
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As you've likely seen in prior HealthyData blogs, our software does an excellent job of pulling discrete lab result data from faxed/scanned documents and filing them into EMR via HL7. People often question how this is possible...
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I worked at Epic for 12 years and I'm a big fan of what they do to innovate their products to meet the needs of clinicians. However, no matter how good the Epic EMR software is, implementing an infinitely complex piece of software in an infinitely complex industry brings with it many short-comings.
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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.
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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.
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Discrete, trendable data is the bread and butter of a specialty clinic.
Hunting and pecking through the media tab to track down information on a patient is infuriating! And not only for the doctors. For nurses. For abstractors. For the patient! Trending a post-transplant patient's drug levels alongside their medication doses, rejections, infections, transplant history, UNOS data, procedures, and relevant transplant-related scores is of paramount importance to a clinician and is very time sensitive. Getting all patient data into the EMR is the holy grail when it comes to specialty medicine.