Why Healthcare Quality Doesn't Fail on Insight — It Fails on Execution
Plans don't struggle to find gaps. They struggle to close them.
The Assumption
Most healthcare quality strategies are built on a simple belief:
If we identify care gaps accurately, performance will improve.
So plans invest heavily in:
- Analytics platforms
- Gap identification engines
- Measure logic and reporting
- Data aggregation (claims, labs, CCDs)
This part is largely solved.
Most plans today can:
- Identify open gaps across HEDIS/Stars measures
- Stratify members by risk
- Push reports to provider groups
- Track performance trends
On paper, the system works.
In reality, performance still stalls.
The Reality
Healthcare quality does not break at insight.
It breaks in the gap between:
"We know what needs to happen"
and
"It actually got done, documented, and submitted correctly."
That gap is operational.
Where Execution Actually Breaks
1. Chart Retrieval Is Fragmented and Reactive
What happens in practice:
- Requests are sent late in the measurement year
- Provider outreach is manual (fax, phone, portals)
- No prioritization based on likelihood of closure
- Digital retrieval (aggregators, CCDs) is underutilized
Result:
- Low yield
- Long turnaround times
- High cost per chart
- Missed submission windows
2. Clinical Abstraction Is Disconnected from Outcomes
Typical flow:
- Charts are reviewed
- Data is captured
- Findings are logged
What's missing:
- Real-time visibility into closure status
- Feedback loops to retrieval or outreach
- Ownership when evidence is insufficient
Result:
- Charts reviewed, but gaps remain open
3. Provider Outreach Lacks Precision
Common issues:
- Large, unprioritized gap lists
- No clear next best action
- Outreach not tied to evidence gaps
- No visibility into prior attempts
Result:
- Low engagement
- Provider fatigue
- Poor conversion to closed gaps
4. No Ownership Across the Workflow
Each function operates independently:
- Retrieval vendors
- Abstractors
- Outreach teams
- Quality reporting teams
But no system owns:
Did this gap move from open → evidence obtained → compliant → submitted?
Result:
- Activity increases, outcomes do not
5. Evidence Does Not Flow Cleanly to Submission
Where most programs break down
This is where most quality programs break down
Execution across retrieval, abstraction, and outreach is rarely connected. That's where gaps stall.
See how Podero connects the workflowBreakdowns include:
- Missing documentation elements
- Coding/value set mismatches
- Timing issues
- Failure to route evidence correctly
Result:
- Work completed ≠ gap closed
A Real-World Example
A mid-size plan running ~80,000–100,000 hybrid charts:
- Gaps identified correctly
- Vendors engaged
- Outreach launched
Operational reality:
- 30–40% of chart requests incomplete or late
- Abstractors identify missing evidence but cannot trigger follow-up
- Providers receive redundant outreach
- No centralized tracking of gap progression
Outcome: Significant effort, minimal performance lift.
Why This Problem Persists
Vendor Fragmentation
Multiple vendors solve pieces, not the full workflow.
Organizational Silos
Quality, operations, and provider teams are not aligned at the gap level.
No Execution Layer
No system tracks and drives gap progression end-to-end.
Misaligned Incentives
Vendors measured on activity, not closure.
What Actually Fixes It
1. Treat Each Gap as a Workflow
Stages:
- Identified
- Retrieval initiated
- Evidence obtained
- Abstracted
- Validated
- Submitted
Each stage must have ownership and status.
2. Orchestrate Retrieval, Abstraction, and Outreach
These are not separate functions. They must operate as one workflow.
3. Prioritize Digital-First Data Acquisition
- CCD ingestion
- Lab/immunization feeds
- Aggregator-first retrieval
Reduces cost and turnaround time.
4. Create Real-Time Visibility
Teams must see:
- Where gaps are stuck
- What actions are working
- Which providers are bottlenecks
5. Align Activity to Outcomes
Measure:
- Gaps closed
- Evidence submitted
- Time to closure
Not:
- Charts retrieved
- Calls made
The Bottom Line
Healthcare quality is no longer an analytics problem.
It is an execution problem.
Plans already know what needs to be done.
What they lack is a system that ensures it actually gets done — end-to-end.
Final Thought
If your program feels busy but performance isn't improving, the issue isn't effort.
It's that no one owns execution across the full workflow.
That's where quality performance is won or lost.
Peter Saah
Founder, Podero Health
See how quality execution actually runs end-to-end
From chart retrieval to abstraction, outreach, and evidence submission — without fragmented workflows.