March 27, 2026

CDI & Coding Assessment Series: 8 Key Takeaways from the Poll Data

Our CDI & Coding Assessment LinkedIn poll series pointed to a familiar reality: most organizations are not in crisis, but they are not operating at a highly optimized level either. The results show programs with solid foundations, but also clear gaps in consistency, efficiency, and actionability.


1. Policy consistency is far from universal.

When we asked whether policies are clear, current, and consistently followed, the responses were split: 28% said policies are not clear or are outdated, 16% said they are only somewhat clear, and just 28% said they are fully clear and consistent. That means a majority of respondents stopped short of saying their policies are truly strong and consistently applied. For most organizations, policy infrastructure still has room to mature.


2. “Mostly clear” policies still create operational risk.

Another 28% selected “mostly clear and followed,” which sounds decent at first glance, but “mostly” is often where variation creeps in. In Coding and CDI, that usually means teams are not always interpreting guidance the same way, which can lead to rework, inconsistent documentation review, and avoidable compliance exposure.


3. Workflow friction appears to be widespread.

The workflow and throughput poll was one of the clearest signals in the series. 100% of respondents landed in the bottom two categories, and every single vote fell into “some inefficiencies.” Even with a small response count, that result is striking. It suggests bottlenecks, handoff issues, and process drag are not isolated problems. They are a normal part of operations for many teams.


4. High-efficiency workflows are still aspirational for many programs.

Not a single respondent selected “mostly efficient” or “highly efficient.” That tells us many organizations may have learned to function around inefficiencies instead of fixing them. Teams can still perform under those conditions, but delays in routing, review, escalation, or follow-up almost always affect productivity, turnaround time, and ultimately revenue performance.


5. Risk identification is still more reactive than proactive.

When we asked whether organizations proactively identify issues like modifier risk, DRG shifts, TEFRA compliance concerns, or payer trends, 56% said they are very reactive and another 33% said they have limited proactivity. That means nearly 9 in 10 respondents are operating without a strongly proactive risk model. For many organizations, problems are still being discovered after they have already affected performance.


6. True proactivity remains uncommon.

Only 11% of respondents said they are generally proactive, and 0% selected highly proactive. That matters because the strongest Coding and CDI programs do not rely on retrospective cleanup alone. They use trending, monitoring, and focused review to catch issues earlier. The poll suggests that level of maturity is still the exception rather than the norm.


7. KPI reporting exists, but actionability is limited.

The data and reporting poll showed a familiar middle-ground pattern. 60% said they have some useful metrics but limited impact, while only 20% said their KPIs are highly actionable. That tells us dashboards and reports may be present, but they are not always helping leaders make clear operational decisions. A metric is only valuable if it points to action.


8. The biggest theme across the series is middle-tier maturity.

Across the polls, the responses consistently clustered in the lower-middle or middle categories. Organizations are not saying everything is broken, but they are also not describing highly efficient workflows, highly proactive risk identification, or highly actionable reporting. That middle ground is important because it is exactly where hidden inefficiencies, compliance vulnerability, and missed financial opportunity tend to accumulate.


The Bottom Line

The poll series suggests that many Coding and CDI programs have the right building blocks, but those pieces are not yet working together at a high level. Policies may exist, workflows may function, risks may eventually be caught, and KPIs may be tracked, but the real opportunity is turning those separate efforts into a more consistent, proactive, and decision-driving program.

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