The conversation has happened more than once. Another experienced abstractor gives notice – the work is exhausting, the volume feels impossible, and no matter how hard the team pushes, the charts never seem to clear fast enough. Leadership posts the position, adjusts coverage, and moves forward. Then the opening comes back. And somewhere between the third and fourth replacement hire in eighteen months, a quieter question forms: is this a staffing problem, or is something deeper going on inside the abstraction process itself?

You’re Not Imagining It

Hybrid HEDIS abstraction has always required demanding work. Some level of team pressure comes with the territory. But there is a difference between work that is demanding and work that is structurally unsustainable. The turnover is not random. The burnout is not a personality issue. The missed targets are not a motivation problem. These are symptoms of a process placing demands on the people inside it that the process cannot support at scale.

What This Actually Looks Like

The signs accumulate quietly before anyone connects them to a single source. If your hybrid HEDIS abstraction process is creating unsustainable conditions, some of these patterns will feel familiar:

• Abstractors are routinely working under significant time pressure, with chart volume targets calibrated to a best-case scenario rather than the actual complexity of the measures being reviewed.
• Errors and omissions are climbing – not because the team is careless, but because sustained attention at pace is difficult to maintain across a full review cycle.
• Experienced abstractors are leaving, with exit conversations circling the same themes: the work is too demanding and too difficult to feel proud of when results still feel incomplete.
• New hires are taking longer to reach full productivity than expected, and the training investment disappears when turnover comes around again.

Why It’s Hard to See

The signals this problem sends are easy to misread. Burnout looks like a hiring problem, so the response is better recruitment and improved onboarding. Missed targets look like a management problem, so the response is tighter oversight and clearer expectations. High abstractor stress looks like a training problem, so the response is more thorough preparation and cleaner protocols.

Each response helps temporarily. Then the cycle starts again. The underlying source of every symptom is the same: the abstraction process is placing demands on the people inside it that the process cannot sustainably support. Solving the visible symptoms without examining that dynamic is why the problem keeps returning.

The Real Cost of Waiting

The organizational cost runs higher than it appears on the surface. Recruiting, onboarding, and training replacement abstractors carries a real price, and a seasoned abstractor who leaves takes institutional knowledge that can take months to rebuild. Beyond direct costs, a team operating under chronic pressure makes more errors, creates more rework, and extends review cycles – consuming more resources to produce less complete output. That is precisely what places downward pressure on the quality scores the organization depends on.

Burnout left unaddressed becomes a data quality problem. A data quality problem becomes a Star rating problem. The connection is direct, even when it takes time to surface clearly in the numbers.

The First Step Is Naming It

The most consequential shift a health plan can make is a diagnostic one: recognizing that what looks like a workforce challenge may actually be a process and technology challenge wearing a workforce disguise. Organizations that believe they have a staffing problem look for staffing answers. Organizations that recognize they have a process and technology problem start asking different questions – including what the abstraction process and technology are actually requiring of the people inside it, and whether those demands are inherent to the work or a feature of how the work is currently structured.

Rethinking the process: If this pattern sounds familiar, the next practical question is what your options actually look like. Hybrid HEDIS abstraction approaches vary significantly in how much they demand of your clinical team. From Burden to Balance: Evaluating Hybrid HEDIS Abstraction Approaches That Protect Your Quality Team walks through the full landscape and what to weigh when comparing them.