There is a Chinese parable about the farmer who had a horse. One day, the horse ran off. That was bad. A couple days later, the horse came back and brought with it three wild horses. That was good.
Automating the extraction of all required information from faxes or other non-interfaced sources, ensures your patients’ safety and complete, compliant information in the EMR. Any solution you use should be matching patient and order level data, collecting physician demographic information, and capturing...
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.
A consultant who supports analytics for population health and quality of care recently told me that frequently, they can only access 80% or less of the total data needed for these initiatives.
If that data is truly random and characteristic of the whole body of data, than acquiring 80% of it is pretty good, perhaps even great. But what if that 80% comes largely from one population sub-group. What if it represents patients who are local - city-dwellers who live nearby and come directly to your facility for lab work and other tests - while the missing 20% is a completely different population. Perhaps this 20% is defined differently by lifestyle, geography or other variables because that population cannot easily come to your facility?
The Centers for Medicare & Medicaid Services regulates laboratory testing performed on humans in the U.S. through the Clinical Laboratory Improvement Amendments (CLIA) to ensure quality laboratory testing. CLIA sets high standards for quality control, validation of data and tests, equipment calibration, proper training and certification of users and clear end result reporting that meets proper lab data requirements.
Tracking data in your transplant care software is a key component of QAPI programs, not only for CMS, but now also with UNOS debating the requirement of QAPI programs. One of the most challenging aspects of transplant program management is ensuring that your Quality Assessment and Process Improvement programs are measuring meaningful and actionable items that lead to program improvement.
Transplant Evaluation Process Part 3 in a 6 part blog series
Once the transplant evaluation visit has been completed, the required testing and other consults that were ordered or deemed necessary need to be completed. Frequently, this is the most time consuming segment of the evaluation process and where automation can be most useful.
In my previous post, the fourth in a series of seven blog posts that discuss some of the misconceptions about lab interfaces and intelligent clinical data extraction software, I addressed the belief that if a hospital has an in-house laboratory, all test results will be integrated with the patient record in the EMR.