Robotic Process Automation (RPA) and Intelligent Document Processing (IDP) are at the forefront of workflow optimization tools. While they’re both used for automation, they aren’t interchangeable but can be complementary.
How To Reduce The Data Delay From 5 Days... to 1 Hour
Automated PHI redaction makes clinical data management easier
The Cost of Incomplete Data
Delayed Test Results? Watch This
Stop Digging Through Attachments in the EMR Media Tab
3 Things To Do To Tame Your Backlog
A fax machine walks into a doctor's office...the not-so-funny joke about health information exchange
Can clinical data abstraction improve care quality?
Is EHR Interoperability Dead on Arrival?
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?
Is Your EMR Inbox Managing You?
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.
Save Time With Document Classification
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.
EMR data conversions without queries
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.
