There's a reason for automated workflows. Document classification is a lot faster and more accurate than having your staff manually enter and scan documents. Read this blog to find out how you can improve your 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.
Physician burnout is at an extremely high rate. Doctors and nurses everywhere are expected to keep up with management changes, new hospital mandates, technology in procedures, all the while keeping their clinical care first-class. I’ve read countless articles about predictions that the burnout rate will rise
I can guarantee that anybody reading this blog uses machine learning dozens of times each day without even realizing it. When you perform a web, search using Google or Bing, for instance, the search engine works so well because their software has figured out how to predict searches and rank pages for you.
Most people don’t realize how heavily some industries rely on faxes. But to those of us in the know, it’s becoming cliché to mention how relevant faxing still is. With non-relenting fax volumes comes the need for businesses to hire people who can manage incoming documents. Document handling is an intense job that requires an immense amount of focus and attention to detail.
Earlier this month, Dr. Thomas Starzl, the father of organ transplantation, died at the age of 90. In reading an article about all that he did to ultimately discover what was needed to successfully transplant organs, one cannot help but to be awed by the uncertainty and risk that he needed to “work around” in order to make progress.
As our workload continues to build and technology continues to advance, it may be time to analyze your current procedures to see if an advanced OCR solution is right for you. Applying such a solution can save valuable work hours, improve turnaround times, increase transcription accuracy and yield an exceptional ROI all while streamlining your workflow. Here are four signs that you should look into an advanced OCR software solution.
If Google can make a self-driving car why can’t external labs be automatically integrated (driven) into clinical information systems?
Recently while visiting a National Cancer Institute customer that is also a designated Comprehensive Cancer Center we had a brief chuckle regarding cutting edge technology and healthcare. Our customer, a large academic medical center, had asked us to come and talk with other departments about expanding our clinical data extraction software to other departments. They currently use Extract to capture data from lengthy pathology reports and then import the information into their data analytics repository.
Can you benefit from OCR?
Optical Character Recognition (OCR) is powerful software that transforms images such as faxes and scanned documents into human readable text. Access to this text is very powerful and can be used for many purposes. The questions below will help you determine whether or not you could benefit from an OCR solution.
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 chose the title for this blog a bit tongue in cheek. You see, there are numerous blog posts about how to “properly” redact PDF files. While all of those other blog posts correctly explain the challenges that makes redacting PDF files difficult and outline all of the steps that one must take to ensure private information is completely and irreversibly redacted, all of those blog posts fail to mention one critical idea that anyone tasked with the important job of redacting electronic documents should be aware of -- automation.