VP of Revenue Cycle
Manage charge capture and CDI programs
What You Do Today
Ensure all billable services are captured accurately and clinical documentation supports the codes assigned. Lead clinical documentation improvement programs that close the gap between care delivered and care documented.
AI That Applies
NLP-powered CDI tools that review clinical documentation in real-time, flagging opportunities for specificity improvement before the chart is coded.
Technologies
How It Works
The system ingests clinical documentation in real-time as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
CDI becomes real-time rather than retrospective. AI flags documentation gaps while the patient is still in-house, when the physician can still amend the record.
What Stays
CDI specialist conversations with physicians about documentation habits require clinical knowledge, diplomacy, and the ability to educate without alienating.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for manage charge capture and cdi programs, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long manage charge capture and cdi programs takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“What data do we already have that could improve how we handle manage charge capture and cdi programs?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with manage charge capture and cdi programs, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for manage charge capture and cdi programs, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.