How_to_Prepare_for_Epic_Optimization_and_Upgrades

How to Prepare for Epic Optimization and Upgrades

How to Prepare for Epic Optimization and Upgrades

Getting an Epic instance up and running is an exciting milestone for any health system, but it’s generally not too long before talk of optimization or an upgrade begins. Given the robust nature of Epic as an EHR, it’s not surprising that hospitals would want to take advantage of all that the healthcare IT solution has to offer by updating and streamlining workflows and integrations. Knowing how to prepare for Epic optimization goes a long way in bracing for some additional change, but also embracing the value of the upgrade to extend the investment for the organization.

#1: Position Epic Upgrade Training as Mandatory

We realize we’re talking about grown adults here, so making something mandatory doesn’t necessarily guarantee participation. However, we still advocate for treating EHR optimization and upgrade efforts with the same level of coordination and detail as you would an Epic implementation. The main reason for this is that hospital systems will still need to perform UAT, train clinical staff to new features and workflows, and ensure at-the-elbow support is available, just as we recommend with go-live. Think of optimization projects as mini implementations, and tackle them accordingly.

To this end, it’s important to communicate the value of the Epic upgrade to end users, just as with the initial roll out. Communication plans should incorporate the same level of detail, forethought and exposure to ensure that staff knows what’s coming, when it’s coming and why they need to be aware…not to mention, what’s expected of them (like training). This fosters better training attendance (or participation, if you’re opting for a digital learning approach to Epic upgrade training), and can even reinforce the importance of their feedback by seeing requests come to fruition.

#2: Don’t Underestimate the Need for Proper Regression Testing for an Epic Upgrade

Much in the same way we recommend approaching optimization training in the same manner as the initial implementation, it’s just as important to invoke formal testing/QA to support upgrades. While it may be true that no integrations were touched and everything “should” behave the same after the update, it’s the job of the Epic project management team to insist on another full round of testing (known as regression testing, when changes have been introduced to an already vetted solution) before launching the new version.

If the changes to an existing EHR instance are deemed minor, it would be easy for some to overlook the value of another full round of testing, citing budgetary and timeline concerns. We get it; those are always metrics that we’re looking to pare down in the implementation process. However, the value cannot be underestimated, and opting for even a lean round of testing the optimized Epic instance against the expected ecosystem — interoperable systems, ancillary integrations, patient management tools/plug-ins, etc. — better prepares health systems for the imminent changes without disrupting clinical throughput.

#3: Shore-up the Help Desk for Temporary Blips, Post-Upgrade

We’re talking about healthcare technology here, and we’ve been around long enough to know that even the best testing and development can’t preclude all post-upgrade issues. Even if there is a minor spike in reports of EHR issues or new challenges with recently introduced workflows, it’s prudent of hospitals to ensure their help desk and IT department are properly staffed and prepared for whatever potential issues may arise directly after Epic optimization.

Just as an organization would prepare for Epic go-live, so too should they prepare for EHR optimization and upgrades. This includes training efforts, end-to-end testing and help desk staffing, among other things. Preparing for the unexpected will reduce friction and help clinical end users easily adapt to Epic optimization and upgrades, enjoying the benefits of their robust new health record.

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