So, you're thinking of migrating to Epic's solid organ transplant module Phoenix? Or did you recently switch? The Phoenix product has come a long way since its initial release around 10 years ago. It is a great way to effectively manage your transplant population within the fully-integrated Epic suite of products. I helped to support the first 40 or so Phoenix go-lives during my Epic tenure and take great pride in the application.
The move towards precision medicine is gaining more traction though the project faces limitations. One area that we can anticipate will be influenced by precision medicine programs as healthcare IT technologies continue to spread in the healthcare market is in EMR/EHR solution integration and functionality.
If you are in healthcare, then you likely know what CPOE is. In case the acronym is not familiar to you, computerized physician order entry (CPOE) is a process of electronic entry of medical practitioner instructions for the treatment of patients (particularly hospitalized patients) under his or her care.
As you likely know by now, Extract’s document handling platform can save your users time, improve accuracy, increase EMR adoption, and improve patient care. But what you may not know, is that with a few tweaks of your EMR build and workflows, Extract’s data extraction software can become even more efficient and effective.
Having access to quality data in the EHR is paramount when using the data for decision making. If clinicians have to search through the media/documents tab in the EMR or they have faxes stuck in the system, staff does not have up-to-date information to use for the decision making process. This could potentially put a patient’s safety at risk and greatly delay the treatment process.
In a recent topic covered by NPR in Health News, titled Electronic Health Records May Help Customize Medical Treatments, expresses how healthcare is continuously uncovering the benefit of population health and the potential for a database of medical records to be mined in order to help shape an individual’s treatment.
Ahhh, the age old question. Can (or should) tasks that humans can do very well, but perhaps not very efficiently, be automated with technology? While the views on this topic would vary greatly from an abstraction service provider to a low-budget medical research project manager, there are perhaps a few things that could be defined to help one decide what is best for their particular medical record abstraction situation. Consider these ideas:
The 21st Century Cures Act was officially signed on Tuesday, December 13th. It is another significant medical research appropriation bill it is optimistically another giant step toward reduced regulation and faster development and delivery of new medicine and medical devices. As exciting as that is, this bill also directs HHS and the National Director for Health Information Technology to make EHR’s interoperable.
The year is now 2017 and we have been a digital society for quite some time, but if you talk with people in the healthcare industry, you will find that paper is still floating around. In 2016, we worked with two major hospitals and you would be amazed by not only how prevalent paper documents are, but how these paper medical documents get copied and moved to different people through the hospital, this is what we call the “Paper Shuffle”.
Your clinical staff must refer to paper, faxed, and/or scanned documents because clinical data found within these documents are not found in the EHR. Your interruptions to the workflow, that was carefully designed into the EHR, costs time, money, and frustration and it may even insert errors into the healthcare decision making process.
Every good process has a starting point. In the instance of making the perfect Peanut butter and Jelly sandwich, “first you take the peanuts and you crush ‘em, you crush ‘em” (view entire peanut butter and jelly sandwich process here. Whereas, the first step of a healthcare data entry process, is document handling. First you take the paper documents, and you sort ‘em, you sort ‘em. Then you take the documents and you scan ‘em, you scan em...
I have recently talked with a few healthcare executives. They, like everyone else I know, are careful about what they say about the effect a Trump presidency will have on healthcare. This could be that they are being politically correct but it’s possible they don’t know what Trump is actually going to do. It is clear Trump’s pre-election rhetoric has softened in many areas. Only time will tell what his real intentions are.
Aurora sought a way to pull paper results into their lab interface in order to eliminate paper-based results completely while removing the slow and laborious, manual data-entry process. At first, Aurora scanned documents into the EMR, requiring providers to open up scanned documents to view results; but what providers really wanted was to have discrete, trendable lab results in one central location.
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...
I keep wondering why healthcare organizations wouldn’t want to streamline this repetitive, manual process and transform these documents into retrievable business-ready data. Think of all of the time, resources, money, and reduction in errors that could be improved upon if their workflow became automated via an advanced OCR solution and Machine Learning.
For example; a typical hospital has...
While I've never worked directly for a healthcare organization, I'm proud to say that I've spent the last 13 years working for two great companies who are making great strides to improve these very problems. At Extract, we are working tirelessly to get more data into the EMR discretely and marching towards ridding the EMR of the hide-and-seek for critical clinical data that is buried in scans, faxes, and unstructured blocks of text.