The client is a multi-specialty Hospital chain that serves both urban and rural population throughout the Northwest. It has more than 2,000 doctors and clinicians and twelve locations.
The Epic Electronic Health Record (EHR) system’s work queues offer robust capabilities to maintain seamless corporate operations. The client was experiencing a backlog of errors in several Epic Care Ambulatory issue queues, including MyChart errors, interface error logs, and others. The Ambulatory team of the client could not handle this catch-up job.
The overall number of incoming errors was significantly reduced as a result, as was the amount of "noise," which improved error prioritization. In the end, this results in less work for the analysts and improved patient care.
The client was experiencing a backlog of errors in several Epic Care Ambulatory issue queues, including MyChart errors, interface error logs, and others. The Ambulatory team of the client could not handle this catch-up job.
To lessen the overall maintenance required over time for a client’s Epic system, we offered expertise in root-cause maintenance issues as part of Airo’s Managed Services offering. The customer wanted to be able to focus their resources on tasks of higher value, thus they needed to comprehend how to streamline error maintenance and prevent future backlogs. If work queues are built and handled effectively, improved workflow efficiency, a shorter delay between manual adjustments, and quicker issue discovery are all possibilities.
From errors that prevent patient treatment to those that simply generate “noise” and confusion, Airo tried to pinpoint the underlying cause of several errors. Five ambulatory work queues covering various healthcare workflows were the area of focus. Throughout the engagement, Airo kept count of the mistakes fixed by category and documented the resolution processes. Throughout the engagement, our experts provided advice and executed prospective builds, process improvements, or modifications that would lower the frequency of errors and improve work queue management moving ahead.
Error Types Investigated
Analyst Hours Reallocated / Per Week
Redundant error types were reduced by 31%
Work Queue management-labor was reduced by 75%.
Error Types Reduced or streamlined by 35%
The overall number of incoming errors was significantly reduced as a result, as was the amount of “noise,” which improved error prioritization. In the end, this results in less work for the analysts and improved patient care.
