Chart Retrieval & Abstraction That Produces Audit-Ready Evidence
Podero Health helps healthcare quality teams retrieve, abstract, validate, and operationalize clinical evidence before audit risk becomes rework.
Built for chart retrieval, medical record abstraction, CCD evidence processing, supplemental data production, and audit-readiness validation.
- Chart retrieval, abstraction & CCD evidence processing
- Human QA + overread before any output moves downstream
- Audit-readiness validation, source-traceable handoff
- Supplemental execution capacity — without permanent headcount
Pilots running now for MY2026 readiness — limited onboarding capacity.
Evidence Production Workflow
From chase list to audit-ready output
Chase List Intake
Provider source identified
Retrieval
Record received
CCD / Record Collection
Digital evidence collected
Evidence Detection
Evidence detected
Human Validation
Reviewer validated
Audit Readiness
Audit checks passed
Supplemental Output
Output generated
Operational workflow powered by PromedyRecs.
Operational Capacity
Add Capacity Without Adding Headcount
When internal quality teams hit capacity limits, Podero supports the operational work required to move evidence from chase list to defensible output.
Chart retrieval overflow
Prospective abstraction support
Retrospective abstraction support
CCD evidence processing
Supplemental data production
QA and overread support
Audit-readiness validation
Project-based surge support
The Outcome
Turn Clinical Evidence Into Defensible Measure Outcomes
Podero helps transform records, CCD data, and clinical documentation into structured, traceable, audit-ready evidence that supports quality program execution.
- Measure-aligned evidence capture
- Human-validated abstraction
- Source traceability
- Audit-readiness checks
- Supplemental output generation
- QA visibility
Retrieval Is Where Most Programs Break
Most gap closure workflows fail before abstraction ever starts — because the right evidence never reaches the reviewer.
Requests sent to the wrong provider location
Centralized medical records departments not identified
Provider-specific retrieval instructions not captured
Escalation paths unclear or undocumented
Digital, fax, portal, and onsite retrieval treated as separate silos
Retrieval intelligence lost between projects
Podero captures and reuses retrieval intelligence across campaigns so each project becomes smarter, faster, and more targeted.
The Evidence Gap
Why Your Current Workflow Still Fails
Plans don't miss performance because charts don't exist.
They miss because what they have doesn't actually count.
Retrieval, abstraction, and digital ingestion all run — but measure-level evidence still falls short. By the time QA overread surfaces the gap, the MY2026 prospective season window has already narrowed.
- 01Chart retrieved·documentation missing
- 02Data present·measure logic fails
- 03Abstracted code·context incomplete
- 04QA flag raised·too late to fix
Each failure mode increases submission rework — and weakens audit defensibility.
CCD / Digital Evidence
Digital Evidence Is Growing — But It Still Needs Validation
CCD and other digital clinical data can accelerate evidence collection, but raw digital data still needs mapping, traceability, validation, and audit-readiness review.
CCD Evidence Extraction
Identify relevant labs, visits, diagnoses, procedures, medications, and clinical observations from CCD files and digital records.
Value Set & Measure Mapping
Map extracted evidence to measure logic, HEDIS® value sets, and client-specific supplemental output requirements.
Source Traceability
Preserve source lineage so digital evidence can be traced back to the originating clinical document or data source.
Supplemental Output Preparation
Prepare structured outputs for downstream reporting, quality workflows, and audit-readiness review.
Digital evidence reduces retrieval burden only when it can be trusted, traced, and converted into usable supplemental evidence.
Provider Retrieval Intelligence
Provider Retrieval Intelligence That Gets Smarter Over Time
Most retrieval workflows relearn the same provider information every project. Podero captures retrieval intelligence so future requests are routed smarter.
Centralized Records Departments
Track which provider groups route requests through centralized medical records departments instead of satellite offices.
Preferred Retrieval Channels
Capture whether records are most successfully retrieved through portal, fax, EMR access, email, mail, or onsite pathways.
Provider Location Intelligence
Identify when providers practice across multiple locations and which location actually fulfills medical record requests.
Retrieval Instructions
Preserve provider-specific instructions, escalation notes, contacts, and special handling requirements.
Performance Patterns
Monitor retrieval success rate, average turnaround time, non-response patterns, and last verified retrieval details.
Historical retrieval data suggests records for this provider group are fulfilled through the Central Medical Records Department at Location B.
Illustrative example. Podero captures and preserves retrieval activity over time and can help route future requests — it does not guarantee retrieval outcomes.
How We Differ
Why Podero Wins When Quality Operations Break Down
Most Vendors
- ✕Deliver records without validating evidence quality
- ✕Abstract findings without audit-readiness checks
- ✕Treat CCD data as raw data instead of traceable evidence
- ✕Relearn provider retrieval details every project
- ✕Leave plans to reconcile issues downstream
Podero
- ✓Retrieves, abstracts, validates, and prepares evidence
- ✓Flags audit risk before submission
- ✓Preserves source traceability for chart and CCD evidence
- ✓Captures provider retrieval intelligence over time
- ✓Reports whether work is producing usable, defensible outputs
Comparison reflects observed differences in retrieval and abstraction workflows; specific outcomes vary by plan and measure mix.
Where Podero Fits
Where Podero Fits in Your Quality Operations Stack
Podero works as an execution layer alongside your existing quality, retrieval, data, and reporting workflows.
Input Sources
- Chase lists
- Medical records
- CCD files
- Provider data
- Existing retrieval output
Podero Execution Layer
- Retrieval support
- Evidence extraction
- Abstraction
- QA / overread
- Audit-readiness validation
- Supplemental output preparation
Downstream Outputs
- Measure-aligned evidence
- Traceable supplemental data
- Audit-ready documentation
- Client-specific exports
- Workflow performance reporting
Podero does not require replacing your HEDIS® engine or current vendor ecosystem.
Vendor Fit
How Podero Works Alongside Your Existing Vendors
Podero does not require you to replace your current HEDIS® engine, retrieval vendors, or data partners. We support the operational layer that turns available evidence into usable outputs.
Supports workflows involving
- ✓Process records received from existing retrieval vendors
- ✓Abstract charts already collected by the plan
- ✓Validate CCD-derived evidence for traceability
- ✓Generate outputs aligned to downstream reporting needs
- ✓Support overflow abstraction during peak season
No vendor replacement. No workflow disruption.
Pilot Use Cases
Start With the Work You Need Done Now
Podero pilots are structured around real operational needs — not generic software demos.
Prospective Gap Closure Support
Support ongoing MY2026 evidence collection, abstraction, and validation before year-end pressure builds.
Overflow Abstraction
Add temporary abstraction capacity when internal teams or vendors are behind.
CCD Evidence Processing
Extract, map, validate, and prepare digital clinical evidence for supplemental use.
Audit Readiness Validation
Identify missing source, member, provider, date, and measure logic issues before submission.
Retrieval Bottleneck Support
Target provider groups, centralized records departments, and hard-to-retrieve records.
QA / Overread Support
Add secondary review capacity to improve confidence in evidence quality.
Who We Help
Built for Quality Teams Under Operational Pressure
Who We Work With
What They're Facing
- —Vendor delays
- —Abstraction backlog
- —Retrieval bottlenecks
- —CCD evidence overload
- —Audit readiness risk
- —Staff capacity constraints
The Workflow
How It Works
Each step ensures outputs pass the measure — not just complete the task.
Targeted Retrieval
Charts prioritized by measure relevance — not volume.
Structured Abstraction
Evidence mapped to HEDIS® value sets and measure logic.
Human QA + Overread
Multi-level validation before anything moves downstream.
Submission-Ready Output
Source-traceable, audit-defensible, ready to file.
Audit Readiness
Know If Your Evidence Will Hold Up — Before the Audit
Audit readiness is not whether evidence exists. It measures whether evidence will survive audit review — what we call Evidence Survival Probability, not simply evidence collection status.
Before submission, Podero evaluates whether each piece of evidence contains the elements an auditor will check:
- Member identifiers
- Provider identifiers
- Date integrity
- Source traceability
- Measure-specific context
- Documentation completeness
- Validation status
- Submission readiness
Why This Matters
Many vendors stop after records are retrieved or evidence is abstracted. Podero evaluates whether the evidence can withstand audit review before it reaches submission workflows.
This helps identify evidence risk earlier — reducing downstream rework and audit exposure.
Example Audit Readiness View (based on pilot workflows)
Audit Readiness Tracker
Tracks audit readiness at the measure level
Needs Review —
QA & Evidence Gaps Detected
Before QA and validation
Based on current evidence completeness and validation
Surfaces evidence gaps early — before submission and audit pressure.
Audit readiness based on evidence completeness, validation status, and submission readiness indicators.
Audit Readiness Components
Each signal contributes to the overall readiness score.
Readiness indicators reflect project-level signals and are configured based on audit workflows and validation criteria.
Prospective Season Is Already Underway
Most plans enter submission with gaps they didn't know existed.
Most gaps are created earlier than you think.
The earlier you fix evidence, the less you fix later — and the lighter the submission rework cycle becomes.
- 01Retrieval backlog — forming silently across measure cohorts
- 02Digital data — looks complete but fails measure logic
- 03Submission window — narrows faster than rework can keep up
Operational Controls
Built to withstand audit — not just complete workflows.