Medical Coding and Billing Accuracy Process

Optimize revenue cycles and minimize claim denials with our Medical Coding and Billing Accuracy Process. This streamlined healthcare workflow ensures precise ICD-10, CPT, and HCPCS coding, reducing human error and accelerating reimbursement cycles through rigorous audit protocols and automated validation techniques.

Este modelo foi instalado 1 vezes.

Começar
1. Fetch Unbilled Claims
2. Retrieve Patient Records
3. Calculate Denial Rate
4. Sum Total Reimbursable Value
5. Coding Audit Task
6. Billing Verification Task
7. Update Claim Status to 'Audited'
8. Create Discrepancy Log
9. Notify Provider of Coding Error
10. Update Claim for Submission
11. Generate Claim Submission Batch
12. Submit Batch to Clearinghouse
13. Daily Accuracy Report
14. Remove Duplicate Entries
15. Urgent Denial Alert
Fim

Início do fluxo de trabalho/processo.

Retrieve all entries from the 'Claims' data model where status is 'Encoded' and billing status is 'Pending'.

Get patient demographic and encounter details from the 'Patient' and 'Encounters' data models to verify coding accuracy.

Calculate the percentage of denied claims versus total claims submitted in the current period.

Aggregate the 'Expected Reimbursement' field from all selected claims to calculate total revenue potential.

Create a task for a Senior Medical Coder to review the ICD-10 and CPT codes for accuracy against the clinical documentation.

Create a task for the Billing Specialist to verify that all modifiers and insurance identifiers are correctly applied.

Update the status of the processed claims in the 'Claims' data model to indicate the audit phase is complete.

Create a new entry in the 'Audit Discrepancies' data model whenever a coding error is identified during the task.

Send an email to the attending physician if a discrepancy is found that requires documentation clarification.

Update the 'Claims' data model entry to change status from 'Audited' to 'Ready for Submission'.

Create a new entry in the 'Billing Batches' data model to group all verified claims for the day.

Send an automated email notification to the clearinghouse service with the batch details.

Create a summary report containing the total claims processed, error rate, and total value audited for the day.

Delete any duplicate claim entries identified during the reconciliation process.

Send an SMS to the Billing Manager if a high-value claim is flagged with a critical rejection error.

Fim do fluxo de trabalho/processo.

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