The health systems that see the strongest Epic adoption outcomes share a common thread: they invest in their Super User programs the right way. 

That means starting with the right definition. A Super User is not simply the most technically proficient person on the unit. The role is bigger than that, and more valuable. A well-prepared Epic Super User serves as a workflow-aware peer resource, helping colleagues navigate real situations in real time, building confidence across the department, and sustaining adoption long after go live occurs. 

At CSI Companies, we've seen health systems hire our consultants as permanent employees across multiple engagements. It happens in different roles, at different organizations, and at different points in an engagement. But the reason is always the same: the consultant proved they were exactly who the organization needed. 

At its core, chart abstraction is the process of reviewing medical records to identify, extract, and document specific clinical data points. Depending on the context, that data might feed into a quality reporting registry, support a population health initiative, or prepare patient records for migration to a new EHR system such as Epic. 

Healthcare IT staff augmentation is a flexible staffing model in which a hospital or health system contracts external IT professionals on a temporary or project basis to work alongside and under the direction of the internal team. 

For health systems running on Epic for 10 or more years, the environment starts to show its age. Workflows misalign with how care is delivered today. Customizations stack on top of older ones. Staff work around the system instead of in it. Leadership eventually arrives at a familiar crossroads: fix what you have or start over. 

Referral leakage not only causes a financial drain but also creates care fragmentation and compromised data integrity. Think about this: a patient sees a specialist across town, gets duplicate labs run, and those results never make it back to their primary care physician. One missed referral at a time could push a patient to a competitor with a smoother workflow. 

Epic EHR over-customization is one of the most common challenges facing health system IT leaders today. Every health system that has customized its Epic environment made thoughtful decisions at the time. Those customizations were responses to real clinical needs, evolving workflows, and the demands of caring for patients in a specific community. 

EHR optimization is one of the highest-return initiatives available to health systems and one of the most consistently overlooked. If your environment has grown through years of customizations, workarounds, and point-in-time builds, there’s a strong chance you’re leaving significant value on the table. Not because something went wrong, but because the nature of complex EHR environments is that they drift over time. Drift, when addressed deliberately, becomes an opportunity. 

When an Epic go-live stumbles, the root cause can almost always be traced to two culprits: inadequate clinical abstraction and poorly planned data migration. Patient safety is at stake, clinician trust erodes, and the financial toll can be staggering. The good news? Every one of these pitfalls is preventable with the right strategy, the right timeline, and the right partner by your side.

In most EHR implementation kick-off meetings, chart abstraction gets 2 slides in a 60-slide deck. That’s exactly the problem.

While integration engines, training curricula, and go-live command centers dominate the conversation, the EHR chart abstraction workstream quietly sits at the intersection of every downstream dependency: clinical readiness, data integrity, workflow trust, and revenue cycle performance. Underestimate it, and you pay for it. Not at kick-off, but on a go-live day when providers can’t trust the data in front of them.