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About This Automation
Insurance and funding claims require staff to manually extract patient data, identify the correct payer form, compile supporting documents, and complete claim submissions. This process is time-consuming and error-prone, with incomplete claims causing delays in reimbursement.
Automation extracts patient and treatment data directly from clinic records, populates the correct claim form for each payer, and submits claims via email or portal.
Key features:
Extract patient demographics and treatment details automatically from clinic records
Identify the correct payer and claim form based on patient insurance information
Populate claim forms with payer-specific formatting rules and required fields
Compile and attach supporting documents such as clinical notes and progress reports
Submit claims via email or payer portal and log submissions in accounting software
Track claim status and generate follow-up reminders for overdue claims
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual follow-up on overdue claims
Staff spend 2-3 hours per week calling payers to chase claim status, often with multiple attempts required.
80%
2
Payer-specific form variations
Different payers require different claim forms and formatting, forcing staff to manually locate and populate each one.
67%
3
Document compilation delays
Gathering clinical notes, treatment plans, and progress reports from multiple sources and converting to PDFs is time-consuming.
53%
4
Incomplete claim resubmissions
Claims rejected for missing fields or documents must be manually corrected and resubmitted, extending approval time.
40%
5
Manual spreadsheet tracking
Claim status is tracked in spreadsheets updated only when payers respond, providing no real-time visibility.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual claim processing consumes 8 hours per week with frequent follow-up calls.
8.4/ 10
AI Fit Rating™Claim data extraction, form population, and submission are highly structured.
8.6/ 10
Automation Lift Index™Automation reduces claim cycle time by 85%, accelerates reimbursement, and.
8.4/ 10
Hidden Overhead™Context switching between patient care and claim administration, plus delayed.
7.8/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. Treatment Episode Marked Completetrigger
Clinic management system detects that a patient's treatment episode has been marked complete and no claim has yet been submitted for this episode.
2. Extract Patient and Treatment Data
Automation retrieves patient demographics, treatment dates, session count, clinical notes, and cost from the clinic system via API.
3. Identify Payer and Claim Requirements
Automation looks up the patient's insurance or funding source and retrieves the correct claim form template and submission requirements for that payer.
4. Compile and Validate Documents
Automation gathers clinical notes, treatment plans, and progress reports from the clinic system, validates that all required documents are present, and flags any gaps for human review.
5. Populate Claim Form
Automation fills in the payer's claim form with extracted patient and treatment data, applying payer-specific formatting rules and field mappings.
6. Submit Claim to Payer
Automation sends the completed claim and supporting documents to the payer via email or uploads to the payer's online portal, and logs the submission.
7. Track and Escalate Claim Status
Automation monitors claim status by checking payer responses and escalates overdue claims for manual follow-up, with a summary of claim details and expected response date.
Everything you need to know before mapping this process.
The automation validates all required fields and documents before submission. If data is incomplete, the system flags the issue and alerts staff to review and correct the record before resubmission.